Remote Sensing of Environment

Papers
(The TQCC of Remote Sensing of Environment is 28. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-02-01 to 2024-02-01.)
ArticleCitations
Deep learning in environmental remote sensing: Achievements and challenges698
Land-cover classification with high-resolution remote sensing images using transferable deep models433
Remote sensing of night lights: A review and an outlook for the future412
Soybean yield prediction from UAV using multimodal data fusion and deep learning408
Mapping global forest canopy height through integration of GEDI and Landsat data404
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications391
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data342
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data337
Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets302
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification262
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach226
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery216
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series203
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine203
Terrestrial laser scanning in forest ecology: Expanding the horizon197
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 CRF196
Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine175
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions169
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes168
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data165
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest161
Landsat 9: Empowering open science and applications through continuity156
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China150
Validation practices for satellite soil moisture retrievals: What are (the) errors?149
Remote sensing of shallow waters – A 50 year retrospective and future directions149
Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis146
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California146
Evolution of evapotranspiration models using thermal and shortwave remote sensing data145
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms141
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets138
Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine138
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models136
Continuous monitoring of land disturbance based on Landsat time series135
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS134
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters128
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network127
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements125
Fifty years of Landsat science and impacts123
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine122
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States122
Transitioning from change detection to monitoring with remote sensing: A paradigm shift120
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning119
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature119
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach118
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters118
Hotspots of snow cover changes in global mountain regions over 2000–2018118
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images117
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach117
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals116
Soil moisture experiment in the Luan River supporting new satellite mission opportunities114
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends113
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)113
The PRISMA imaging spectroscopy mission: overview and first performance analysis113
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives112
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations109
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks108
Continental-scale mapping and analysis of 3D building structure108
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents105
RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements104
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change104
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future103
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data102
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping101
High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite100
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission100
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters100
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images100
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives99
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians97
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR96
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection95
Review of GPM IMERG performance: A global perspective94
A review of machine learning in processing remote sensing data for mineral exploration94
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data93
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS93
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping93
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images92
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 classifier92
Validation of ICESat-2 terrain and canopy heights in boreal forests92
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale92
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data91
Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data90
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data90
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-289
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal89
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems87
Mapping erosion and deposition in an agricultural landscape: Optimization of UAV image acquisition schemes for SfM-MVS87
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles86
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index86
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series85
SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion85
Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)84
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters84
Monitoring cropland abandonment with Landsat time series84
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach83
Continuous subpixel monitoring of urban impervious surface using Landsat time series82
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation82
Satellite remote sensing of active fires: History and current status, applications and future requirements82
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals81
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany80
Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence79
Developing a method to estimate building height from Sentinel-1 data79
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery78
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook78
Towards national-scale characterization of grassland use intensity from integrated Sentinel-2 and Landsat time series78
Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data77
Flood mapping under vegetation using single SAR acquisitions77
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature77
Towards interpreting multi-temporal deep learning models in crop mapping76
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.076
Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping76
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases76
Forecasting the magnitude of potential landslides based on InSAR techniques75
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products75
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification74
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery74
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images74
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data73
The Landsat Burned Area algorithm and products for the conterminous United States73
Quantification of lake clarity in China using Landsat OLI imagery data73
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach73
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm73
Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series73
Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images72
Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence71
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -271
Robust Landsat-based crop time series modelling71
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution71
Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation71
Automated detection of rock glaciers using deep learning and object-based image analysis70
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering70
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction70
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)69
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales68
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling68
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales68
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery68
Agricultural drought mitigating indices derived from the changes in drought characteristics67
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations67
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data66
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-365
A summary of the special issue on remote sensing of land change science with Google earth engine65
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–201665
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time65
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model65
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 metrics64
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 behaviour64
An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters64
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau63
Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms63
Training data requirements for fire severity mapping using Landsat imagery and random forest63
Mapping the multi-decadal mangrove dynamics of the Australian coastline63
Virtual image pair-based spatio-temporal fusion63
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details63
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing62
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud62
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau62
Towards delivering on the Sustainable Development Goals using Earth observations62
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing61
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–201861
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space61
A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions61
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data61
Change detection using deep learning approach with object-based image analysis61
Three decades of variability in California's giant kelp forests from the Landsat satellites60
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 regions60
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts60
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion60
Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images60
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 field60
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry60
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors60
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data59
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 gra59
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico59
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities59
An automated rice mapping method based on flooding signals in synthetic aperture radar time series59
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model59
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison58
Time series trends of Landsat-based ET using automated calibration in METRIC and SEBAL: The Bekaa Valley, Lebanon58
Evaluation of Sentinel-3 SRAL SAR altimetry over Chinese rivers57
Crop mapping from image time series: Deep learning with multi-scale label hierarchies57
Structural characterisation of mangrove forests achieved through combining multiple sources of remote sensing data57
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach56
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock56
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition56
Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event56
Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning56
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning56
Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD+ reporting56
A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF)55
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion55
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest55
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California55
Multi-layer high-resolution soil moisture estimation using machine learning over the United States55
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics55
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters55
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification55
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)55
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-255
Prediction of plant diversity in grasslands using Sentinel-1 and -2 satellite image time series54
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery54
Deeply synergistic optical and SAR time series for crop dynamic monitoring54
Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks54
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 201554
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products54
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis54
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion54
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau54
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry54
Mapping temperate forest tree species using dense Sentinel-2 time series54
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities54
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe53
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 Belt53
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates53
Detection of sub-canopy forest structure using airborne LiDAR53
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes53
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)53
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages53
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach53
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop52
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning52
Open water detection in urban environments using high spatial resolution remote sensing imagery52
Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR52
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors52
Improved change monitoring using an ensemble of time series algorithms52
Pre- and within-season crop type classification trained with archival land cover information51
The urban morphology on our planet – Global perspectives from space51
Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas51
Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales51
Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?51
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution51
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China50
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network49
Comprehensive analysis of alternative downscaled soil moisture products49
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer49
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons49
Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges49
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR49
Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model48
Adopting deep learning methods for airborne RGB fluvial scene classification48
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows48
Satellite prediction of forest flowering phenology48
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data48
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features48
Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: Comparison of radar altimetry, LIDAR and photogrammetry techniques48
In search of floating algae and other organisms in global oceans and lakes48
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series48
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials48
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression48
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