Remote Sensing of Environment

(The TQCC of Remote Sensing of Environment is 29. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-09-01 to 2023-09-01.)
Remote sensing for agricultural applications: A meta-review595
Deep learning in environmental remote sensing: Achievements and challenges591
Annual maps of global artificial impervious area (GAIA) between 1985 and 2018448
Land-cover classification with high-resolution remote sensing images using transferable deep models362
Remote sensing of night lights: A review and an outlook for the future352
Soybean yield prediction from UAV using multimodal data fusion and deep learning347
Mapping global forest canopy height through integration of GEDI and Landsat data319
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications306
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress300
Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach295
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data278
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data265
Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets259
Key issues in rigorous accuracy assessment of land cover products255
The Ice, Cloud, and Land Elevation Satellite – 2 mission: A global geolocated photon product derived from the Advanced Topographic Laser Altimeter System233
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification219
Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery219
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years213
Global mapping of soil salinity change209
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities206
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach194
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery186
A review of remote sensing for mangrove forests: 1956–2018184
A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence178
Remote sensing of terrestrial plant biodiversity173
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series169
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine167
Terrestrial laser scanning in forest ecology: Expanding the horizon163
The ECOSTRESS spectral library version 1.0161
Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities159
Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine154
Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive assessment using global ground-based observations153
Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops151
The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product147
Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)146
A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data144
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions143
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF143
Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach141
Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product141
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest138
Validation practices for satellite soil moisture retrievals: What are (the) errors?136
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes134
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California133
Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis132
Remote sensing of shallow waters – A 50 year retrospective and future directions131
Landsat-8 and Sentinel-2 burned area mapping - A combined sensor multi-temporal change detection approach129
Landsat 9: Empowering open science and applications through continuity129
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data125
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models123
Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation122
Evolution of evapotranspiration models using thermal and shortwave remote sensing data122
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms122
Half a century of satellite remote sensing of sea-surface temperature121
Continuous monitoring of land disturbance based on Landsat time series120
Probabilistic assessment of remote sensing-based terrestrial vegetation vulnerability to drought stress of the Loess Plateau in China118
Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine117
High resolution wheat yield mapping using Sentinel-2113
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm112
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning111
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network110
Global validation of the collection 6 MODIS burned area product110
Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region108
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets108
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach105
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network105
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements105
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR105
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China104
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)103
High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity101
Soil moisture experiment in the Luan River supporting new satellite mission opportunities101
Transitioning from change detection to monitoring with remote sensing: A paradigm shift100
Anisotropic characteristic of artificial light at night – Systematic investigation with VIIRS DNB multi-temporal observations99
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach98
Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model98
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters97
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives96
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine96
Hotspots of snow cover changes in global mountain regions over 2000–201896
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States95
Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution95
High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite94
RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements93
Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine93
Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops93
Land ice height-retrieval algorithm for NASA's ICESat-2 photon-counting laser altimeter92
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images92
The global distribution of leaf chlorophyll content92
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images92
Landslide mapping from multi-sensor data through improved change detection-based Markov random field92
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature91
Continental-scale mapping and analysis of 3D building structure90
A raster version of the Circumpolar Arctic Vegetation Map (CAVM)90
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change89
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals89
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters88
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations88
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data87
Constructing long-term high-frequency time series of global lake and reservoir areas using Landsat imagery87
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS87
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR86
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping85
Country-wide high-resolution vegetation height mapping with Sentinel-284
A new ranking of the world's largest cities—Do administrative units obscure morphological realities?84
Estimating surface solar irradiance from satellites: Past, present, and future perspectives84
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents83
The PRISMA imaging spectroscopy mission: overview and first performance analysis82
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future81
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection81
A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery81
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians81
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission81
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends81
Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000–201681
Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets - A case study81
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks81
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-280
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data80
Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and random forest classifier80
A new drone-borne GPR for soil moisture mapping80
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives80
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS79
Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping79
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data79
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping79
Validation of ICESat-2 terrain and canopy heights in boreal forests78
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data78
Assessing the pasturelands and livestock dynamics in Brazil, from 1985 to 2017: A novel approach based on high spatial resolution imagery and Google Earth Engine cloud computing78
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images78
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning77
Mapping erosion and deposition in an agricultural landscape: Optimization of UAV image acquisition schemes for SfM-MVS77
Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data77
A harmonized image processing workflow using Sentinel-2/MSI and Landsat-8/OLI for mapping water clarity in optically variable lake systems77
SO–CNN based urban functional zone fine division with VHR remote sensing image77
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale76
A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives75
Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence75
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets74
Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series74
Accuracy assessment of the TanDEM-X 90 Digital Elevation Model for selected floodplain sites73
Fifty years of Landsat science and impacts73
Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake73
Monitoring cropland abandonment with Landsat time series72
Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study72
Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies72
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal72
Characterizing urban infrastructural transitions for the Sustainable Development Goals using multi-temporal land, population, and nighttime light data72
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index72
Continuous subpixel monitoring of urban impervious surface using Landsat time series72
Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms71
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals71
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters71
Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)71
Auxiliary datasets improve accuracy of object-based land use/land cover classification in heterogeneous savanna landscapes70
Towards national-scale characterization of grassland use intensity from integrated Sentinel-2 and Landsat time series70
Carotenoid based vegetation indices for accurate monitoring of the phenology of photosynthesis at the leaf-scale in deciduous and evergreen trees70
SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion70
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems69
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook69
Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR69
Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms69
Remotely sensing large- and small-scale ground subsidence: A case study of the Guangdong–Hong Kong–Macao Greater Bay Area of China68
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series68
A review of machine learning in processing remote sensing data for mineral exploration68
Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites67
Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data67
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution66
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases66
Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping66
Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data66
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images66
Review of GPM IMERG performance: A global perspective66
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation66
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification65
Flood mapping under vegetation using single SAR acquisitions65
Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images65
Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements65
Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China65
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales65
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters65
Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series65
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany64
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach64
No pixel left behind: Toward integrating Earth Observations for agriculture into the United Nations Sustainable Development Goals framework64
Developing a method to estimate building height from Sentinel-1 data64
Automated detection of rock glaciers using deep learning and object-based image analysis64
Satellite remote sensing of active fires: History and current status, applications and future requirements64
Mitigating the effects of omission errors on area and area change estimates64
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes64
Quantification of lake clarity in China using Landsat OLI imagery data64
Characterizing global forest canopy cover distribution using spaceborne lidar64
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.064
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling63
Forecasting the magnitude of potential landslides based on InSAR techniques63
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm62
Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation62
Classification of oil spill by thicknesses using multiple remote sensors62
Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence62
Robust Landsat-based crop time series modelling61
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products61
The Landsat Burned Area algorithm and products for the conterminous United States61
Towards interpreting multi-temporal deep learning models in crop mapping60
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature60
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach60
Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau60
Agricultural drought mitigating indices derived from the changes in drought characteristics60
Towards delivering on the Sustainable Development Goals using Earth observations59
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing59
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data58
Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China58
Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring58
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -258
A summary of the special issue on remote sensing of land change science with Google earth engine58
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery58
From woody cover to woody canopies: How Sentinel-1 and Sentinel-2 data advance the mapping of woody plants in savannas58
Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation58
A novel approach to monitoring wetland dynamics using CYGNSS: Everglades case study58
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–201658
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery57
Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images56
Radiative transfer Vcmax estimation from hyperspectral imagery and SIF retrievals to assess photosynthetic performance in rainfed and irrigated plant phenotyping trials56
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction56
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud56
Mapping the multi-decadal mangrove dynamics of the Australian coastline56
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery56
Repeat-pass SAR interferometry for land cover classification: A methodology using Sentinel-1 Short-Time-Series56
Crop phenology retrieval via polarimetric SAR decomposition and Random Forest algorithm55
Evaluation of ASTER GDEM2, SRTMv3.0, ALOS AW3D30 and TanDEM-X DEMs for the Peruvian Andes against highly accurate GNSS ground control points and geomorphological-hydrological metrics55
An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters55
Three decades of variability in California's giant kelp forests from the Landsat satellites55
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations55
Estimating water levels and volumes of lakes dated back to the 1980s using Landsat imagery and photon-counting lidar datasets54
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–201854
Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms54
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales54
Identification of waterlogging in Eastern China induced by mining subsidence: A case study of Google Earth Engine time-series analysis applied to the Huainan coal field54
Virtual image pair-based spatio-temporal fusion54
Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models54
Time series trends of Landsat-based ET using automated calibration in METRIC and SEBAL: The Bekaa Valley, Lebanon53
Training data requirements for fire severity mapping using Landsat imagery and random forest53
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion53
Improved correction of seasonal tropospheric delay in InSAR observations for landslide deformation monitoring53
Structural characterisation of mangrove forests achieved through combining multiple sources of remote sensing data53
Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions53
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering52
Detecting hotspots of interactions between vegetation greenness and terrestrial water storage using satellite observations52
Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes52
Determining variable weights for an Optimal Scaled Drought Condition Index (OSDCI): Evaluation in Central Asia52
A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions52
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau52
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space52
An empirical algorithm to seamlessly retrieve the concentration of suspended particulate matter from water color across ocean to turbid river mouths52
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)52
Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements52
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities51
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau51
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico51
An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission51
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles51
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison51
Inferring plant functional diversity from space: the potential of Sentinel-251
Change detection using deep learning approach with object-based image analysis51
Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD+ reporting51
Optical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observations50
Improved change monitoring using an ensemble of time series algorithms50
Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks50
Tropospheric corrections for InSAR: Statistical assessments and applications to the Central United States and Mexico50
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert gra49
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time49
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach49
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model49
Using the Landsat archive to map crop cover history across the United States49
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour49
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details49
Synergistic integration of optical and microwave satellite data for crop yield estimation49
Evaluation of Sentinel-3 SRAL SAR altimetry over Chinese rivers48
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors48
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data48
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts48
Open water detection in urban environments using high spatial resolution remote sensing imagery48
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution48
Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution47
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition47
Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning47
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification47
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry47
Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence47
A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF)47
Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas, US47
Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?47
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities47
Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer model46
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 201546
Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir46
Prediction of plant diversity in grasslands using Sentinel-1 and -2 satellite image time series46
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest46
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California46
A comparison of Landsat 8, RapidEye and Pleiades products for improving empirical predictions of satellite-derived bathymetry46
An automated rice mapping method based on flooding signals in synthetic aperture radar time series46
Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals46
Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review45
Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas45
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning45
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry45
In search of floating algae and other organisms in global oceans and lakes45
Evaluation and combination of quad-constellation multi-GNSS multipath reflectometry applied to sea level retrieval45
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics45
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)45
A physical model-based method for retrieving urban land surface temperatures under cloudy conditions45
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion45
Detection of sub-canopy forest structure using airborne LiDAR45
Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event45
The forgotten land use class: Mapping of fallow fields across the Sahel using Sentinel-244
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)44
In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest44
Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?44
Comprehensive analysis of alternative downscaled soil moisture products44
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates44
A semi-analytical approach for remote sensing of trophic state in inland waters: Bio-optical mechanism and application43
Satellite prediction of forest flowering phenology43
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data43
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals43
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products43
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion43
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach43
Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program43
Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach42
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-342
Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR42
Pre- and within-season crop type classification trained with archival land cover information42
Possible ionosphere and atmosphere precursory analysis related to Mw > 6.0 earthquakes in Japan42
Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: Comparison of radar altimetry, LIDAR and photogrammetry techniques42
Mapping temperate forest tree species using dense Sentinel-2 time series42
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis42
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages42
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing42
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites42
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters42
Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale42
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows42
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data41
Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing41
A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt41
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock41
Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges41
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series41
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery41
The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE41
Global 500 m clumping index product derived from MODIS BRDF data (2001–2017)41
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities41
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network41
Optical interpretation of oil emulsions in the ocean – Part I: Laboratory measurements and proof-of-concept with AVIRIS observations41
Estimating inundation extent using CYGNSS data: A conceptual modeling study41
Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–201240
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data40
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe40
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method40
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression40
The urban morphology on our planet – Global perspectives from space40
Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales40
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest40
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches40
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–201640
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning40
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia40
Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model40
Antarctic spring ice-edge blooms observed from space by ICESat-240
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR40
Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework40
Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data40
Analysis of scattering characteristics from inland bodies of water observed by CYGNSS40
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau39
Remote sensing of forest die-off in the Anthropocene: From plant ecophysiology to canopy structure39
An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach39
Satellite radar interferometry and in-situ measurements for static monitoring of historical monuments: The case of Gubbio, Italy39
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors39
Mapping annual land use changes in China's poverty-stricken areas from 2013 to 201839
Annual Landsat time series reveal post-Soviet changes in grazing pressure39
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons39
Estimating aboveground biomass in subtropical forests of China by integrating multisource remote sensing and ground data39
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-239
Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data38
Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data38
SAR-enhanced mapping of live fuel moisture content38
SMART-SDB: Sample-specific multiple band ratio technique for satellite-derived bathymetry38
Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data38
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes38
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning38
Deeply synergistic optical and SAR time series for crop dynamic monitoring38
Wave-derived coastal bathymetry from satellite video imagery: A showcase with Pleiades persistent mode38
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop38
Mapping Moso bamboo forest and its on-year and off-year distribution in a subtropical region using time-series Sentinel-2 and Landsat 8 data38
Crop mapping from image time series: Deep learning with multi-scale label hierarchies38
Optical interpretation of oil emulsions in the ocean – Part II: Applications to multi-band coarse-resolution imagery38
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection38
Adopting deep learning methods for airborne RGB fluvial scene classification38
Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery38
Thick cloud removal in Landsat images based on autoregression of Landsat time-series data37
A reporting framework for Sustainable Development Goal 15: Multi-scale monitoring of forest degradation using MODIS, Landsat and Sentinel data37
Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator37
Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard37
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication37
Integrating multi-sensor remote sensing and species distribution modeling to map the spread of emerging forest disease and tree mortality37
Multi-layer high-resolution soil moisture estimation using machine learning over the United States37
Sentinel-1 time series data for monitoring the phenology of winter wheat37
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas37
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery37
Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data36
Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)36
Sentinel-1 soil moisture at 1 km resolution: a validation study36
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard36
Satellite image texture captures vegetation heterogeneity and explains patterns of bird richness36
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities36
Advances in hyperspectral remote sensing of vegetation traits and functions36
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model36
Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance36
Optimal estimation of spectral surface reflectance in challenging atmospheres36
Automated water surface temperature retrieval from Landsat 8/TIRS36
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China36
Time-lapsing biodiversity: An open source method for measuring diversity changes by remote sensing36
A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions36
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data36
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method36
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection36
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods35
Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing35
A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records35
The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence35
Spatio-temporal spectral unmixing of time-series images35
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis35
A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems35
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data35
Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures35
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series35
A systematic method for spatio-temporal phenology estimation of paddy rice using time series Sentinel-1 images34
Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods34
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features34
Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics34
Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle34
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin34
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data34
Accelerated glacier mass loss (2011–2016) over the Puruogangri ice field in the inner Tibetan Plateau revealed by bistatic InSAR measurements34
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity34
Towards operational validation of annual global land cover maps34
Uncertainty analysis of eleven multisource soil moisture products in the third pole environment based on the three-corned hat method34
CNN-based burned area mapping using radar and optical data34
Sea ice extents continue to set new records: Arctic, Antarctic, and global results34
Estimating hourly land surface downward shortwave and photosynthetically active radiation from DSCOVR/EPIC observations34
Unravelling a large methane emission discrepancy in Mexico using satellite observations34
Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources34
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials34
Mapping crops within the growing season across the United States34
Mapping smallholder and large-scale cropland dynamics with a flexible classification system and pixel-based composites in an emerging frontier of Mozambique34
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr33
Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data33
Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia33
How the variety of satellite remote sensing data over volcanoes can assist hazard monitoring efforts: The 2011 eruption of Nabro volcano33
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a33
A new approach for modeling near surface temperature lapse rate based on normalized land surface temperature data33
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis33
Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices33
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer33
Quantifying urban areas with multi-source data based on percolation theory33
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas33
Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed33
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography33
Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network33
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method33
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method33
Investigation of land surface phenology detections in shrublands using multiple scale satellite data33
Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions33
Assessment of unified models for estimating leaf chlorophyll content across directional-hemispherical reflectance and bidirectional reflectance spectra33
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China32
Advances in quantifying power plant CO2 emissions with OCO-232
Satellite-ground integrated destriping network: A new perspective for EO-1 Hyperion and Chinese hyperspectral satellite datasets32
Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region32
Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?32
Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones32
A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP32
Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model32
Simulating solar-induced chlorophyll fluorescence in a boreal forest stand reconstructed from terrestrial laser scanning measurements32
Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling31
Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite31
Using broadband crop residue angle index to estimate the fractional cover of vegetation, crop residue, and bare soil in cropland systems31
Deprivation pockets through the lens of convolutional neural networks31
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data31
Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest31
A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion31
Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter31
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks31
Geographically and temporally weighted neural network for winter wheat yield prediction31
Assimilating optical satellite remote sensing images and field data to predict surface indicators in the Western U.S.: Assessing error in satellite predictions based on large geographical datasets wit31
Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits31
Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions31
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China31
Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data30
Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies30
Not all DEMs are equal: An evaluation of six globally available 30 m resolution DEMs with geodetic benchmarks and LiDAR in Mexico30
User needs for future Landsat missions30