Remote Sensing of Environment

(The TQCC of Remote Sensing of Environment is 26. 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 2020-05-01 to 2024-05-01.)
Deep learning in environmental remote sensing: Achievements and challenges780
Mapping global forest canopy height through integration of GEDI and Landsat data462
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications448
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data379
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series228
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 CRF221
Terrestrial laser scanning in forest ecology: Expanding the horizon211
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes193
Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops187
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions185
Landsat 9: Empowering open science and applications through continuity184
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China183
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data183
Fifty years of Landsat science and impacts167
Validation practices for satellite soil moisture retrievals: What are (the) errors?162
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California157
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms155
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets150
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS148
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements143
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters143
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States140
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals139
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network137
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning135
Hotspots of snow cover changes in global mountain regions over 2000–2018132
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine132
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends129
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach129
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature128
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters127
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images124
The PRISMA imaging spectroscopy mission: overview and first performance analysis124
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)124
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives121
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters121
Continental-scale mapping and analysis of 3D building structure121
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission119
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks119
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents119
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping118
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives116
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations116
Review of GPM IMERG performance: A global perspective116
A review of machine learning in processing remote sensing data for mineral exploration115
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future115
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change115
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians111
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images110
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images110
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data110
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany106
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping106
Validation of ICESat-2 terrain and canopy heights in boreal forests104
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data104
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection103
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR102
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale102
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS101
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal99
Monitoring cropland abandonment with Landsat time series99
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters99
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series98
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data97
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data97
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach96
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems95
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles95
Satellite remote sensing of active fires: History and current status, applications and future requirements94
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-293
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery93
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index93
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks92
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals91
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature89
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation88
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery86
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook85
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction84
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images84
Towards interpreting multi-temporal deep learning models in crop mapping84
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)83
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach82
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales82
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.081
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases81
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data81
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm80
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products80
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution79
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -279
Forecasting the magnitude of potential landslides based on InSAR techniques78
The Landsat Burned Area algorithm and products for the conterminous United States78
Quantification of lake clarity in China using Landsat OLI imagery data77
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations77
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data76
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model75
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales75
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-375
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time75
Agricultural drought mitigating indices derived from the changes in drought characteristics74
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering74
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery73
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-273
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities73
Virtual image pair-based spatio-temporal fusion72
Automated detection of rock glaciers using deep learning and object-based image analysis72
Training data requirements for fire severity mapping using Landsat imagery and random forest71
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing71
Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation71
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data70
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data70
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space70
A summary of the special issue on remote sensing of land change science with Google earth engine70
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 behaviour70
An automated rice mapping method based on flooding signals in synthetic aperture radar time series69
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud69
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–201669
Change detection using deep learning approach with object-based image analysis68
Crop mapping from image time series: Deep learning with multi-scale label hierarchies68
Towards delivering on the Sustainable Development Goals using Earth observations68
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau68
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock67
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–201866
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details66
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach66
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion66
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes66
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion65
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 field65
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 regions65
Mapping temperate forest tree species using dense Sentinel-2 time series65
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities65
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau65
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition64
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)64
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing64
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 gra63
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts63
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery63
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop62
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico62
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe62
Multi-layer high-resolution soil moisture estimation using machine learning over the United States62
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison62
Deeply synergistic optical and SAR time series for crop dynamic monitoring62
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion62
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry62
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model62
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification62
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning61
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach61
Pre- and within-season crop type classification trained with archival land cover information61
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California61
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics60
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis60
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer60
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors60
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data60
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 201560
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning60
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review59
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates59
Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR59
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 Belt59
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)59
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau59
The urban morphology on our planet – Global perspectives from space59
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters59
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry58
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China58
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution58
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities58
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest57
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection57
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products57
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors56
Open water detection in urban environments using high spatial resolution remote sensing imagery56
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series56
Detection of sub-canopy forest structure using airborne LiDAR55
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages55
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series55
Estimating inundation extent using CYGNSS data: A conceptual modeling study55
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network55
Adopting deep learning methods for airborne RGB fluvial scene classification55
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data54
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features54
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons54
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series54
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection54
Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?53
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression53
TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production52
Analysis of scattering characteristics from inland bodies of water observed by CYGNSS52
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials52
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches52
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows52
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods51
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data51
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr51
Satellite prediction of forest flowering phenology51
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks51
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR51
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites51
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data50
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data50
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method50
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning50
Antarctic spring ice-edge blooms observed from space by ICESat-250
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method50
Sentinel-1 soil moisture at 1 km resolution: a validation study50
SAR-enhanced mapping of live fuel moisture content50
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity50
Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations49
CNN-based burned area mapping using radar and optical data49
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method49
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps49
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas49
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin49
Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale48
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method48
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia48
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China48
Sea ice extents continue to set new records: Arctic, Antarctic, and global results48
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–201648
An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach48
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis48
Thick cloud removal in Landsat images based on autoregression of Landsat time-series data48
Unravelling a large methane emission discrepancy in Mexico using satellite observations48
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery48
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals47
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis47
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication47
A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison47
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data47
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas46
Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data46
Advances in quantifying power plant CO2 emissions with OCO-246
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a46
Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data46
Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions46
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest46
Sentinel-1 time series data for monitoring the phenology of winter wheat46
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach45
Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones45
A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering45
Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)45
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning45
A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems44
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China44