Remote Sensing of Environment

Papers
(The median citation count of Remote Sensing of Environment is 11. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Multipeak retracking of radar altimetry waveforms over ice sheets500
Study on automated detection methods of shallow surface soil water content based on GPR signal level450
Monte Carlo uncertainty analysis from top-of-atmosphere reflectance to plant functional type distributions449
Editorial Board330
Corrigendum to “Evaluation of historic and new detection algorithms for different types of plastics over land and water from hyperspectral data and imagery” [Remote Sensing of Environemnt 298 (2023) 1313
Editorial Board291
Corrigendum to “Evaluating and mitigating the impact of systematic geolocation error on canopy height measurement performance of GEDI” [Remote Sensing of Environment, volume 291 (2023) 113571]280
Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities274
Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data219
A parametric approach for global estimation of forest above-ground biomass with SMOS and SMAP L-band radiometer data216
Correcting for the clumping effect in leaf area index calculations using one-dimensional fractal dimension210
Retrieving yearly forest growth from satellite data: A deep learning based approach208
Evaluating urban methane emissions from space using TROPOMI methane and carbon monoxide observations201
Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models199
Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation194
Identifying and quantifying greenhouse gas emissions with the AVIRIS-3 airborne imaging spectrometer185
Deriving leaf-scale chlorophyll index (CIleaf) from canopy reflectance by correcting for the canopy multiple scattering based on spectral invariant theory185
Seasonality of vegetation greenness in Southeast Asia unveiled by geostationary satellite observations183
Entity-based image analysis: A new strategy to map rural settlements from Landsat images165
Thermal infrared reflectance characteristics of natural leaves in 8–14 μm region: Mechanistic modeling and relationships with leaf water content164
Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content156
Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics144
Estimation of intensity, footprint, and capacity of surface urban heat islands using a direction-enhanced adaptive synchronous extraction (DEASE) method141
3D Monte Carlo surface-atmosphere radiative transfer modelling with DART136
Remote sensing applications for monitoring restoration outcomes in boreal forestry-drained peatlands - Reviewed applications and future potential135
In-season crop progress in unsurveyed regions using networks trained on synthetic data134
UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States128
Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities122
Learning spectral-indices-fused deep models for time-series land use and land cover mapping in cloud-prone areas: The case of Pearl River Delta121
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin118
Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data117
Mapping the first dataset of global urban land uses with Sentinel-2 imagery and POI prompt114
RSPECT: A PROSPECT-based model incorporating the real structure of rice leaves112
A novel identification method for unrevealed mesoscale eddies with transient and weak features-Capricorn Eddies as an example112
Satellite observations of water transparency from VIIRS in global aquatic ecosystems112
A model based on spectral invariant theory for correcting topographic effects on vegetation canopy reflectance111
Multi-source data analysis to assess the past and present kinematics of the Pisciotta Deep-Seated Gravitational Slope Deformation (southern Italy)111
Prediction and interpretation of high-temperature heat damage risk zones in the Eastern Tibetan Transport Corridor based on a location-information-fusion convolution neural network110
True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis109
Estimation of summer pan-Arctic ice draft from satellite passive microwave observations108
Unsupervised object-based spectral unmixing for subpixel mapping107
Filling gaps in cloudy Landsat LST product by spatial-temporal fusion of multi-scale data106
A PSI targets characterization approach to interpreting surface displacement signals: A case study of the Shanghai metro tunnels105
Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020104
Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application103
A deep learning model for incorporating temporal information in haze removal101
Characterization and prediction of InSAR-derived ground motion with ICA-assisted LSTM model101
Eutrophication state in the Eastern China based on Landsat 35-year observations98
Recent change in ecosystem water use efficiency in China mainly dominated by vegetation greening and increased CO298
Extracting flowering phenology from grassland species mixtures using time-lapse cameras98
Automated detection and tracking of medium-large icebergs from Sentinel-1 imagery using Google Earth Engine97
Comprehensive reassessment of Australia's land-surface phenology trends (1982–2022) using circular statistics and a harmonised NDVI dataset96
An interpretable attention-based deep learning method for landslide prediction based on multi-temporal InSAR time series: A case study of Xinpu landslide in the TGRA96
Indices enhance biological soil crust mapping in sandy and desert lands95
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock95
Downscaling canopy photochemical reflectance index to leaf level by correcting for the soil effects95
Modeling the start of frozen dates with leaf senescence over Tibetan Plateau94
BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes94
Semantic segmentation of water bodies in very high-resolution satellite and aerial images94
Visualizing the pre-visual: Rice blast infection signals revealed93
Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America92
Corrigendum to “Characterizing satellite-derived freeze/thaw regimes through spatial and temporal clustering for the identification of growing season constraints on vegetation productivity” [Remote Se90
Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data88
Improving the combined use of reflectance and thermal channels for ocean and coastal cloud detection for the Sea and Land Surface Temperature Radiometer (SLSTR)88
Net primary production in the Labrador Sea between 2014 and 2022 derived from ocean colour remote sensing based on ecological regimes88
Monitoring volcanic CO2 flux by the remote sensing of vegetation on Mt. Etna, Italy87
Geodetic glacier mass balance in the Karakoram (2011–2019) from TanDEM-X: An InSAR DEM differencing framework87
An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI85
Consistent metropolitan boundaries for the remote sensing of urban land84
Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS84
Geo-pedological controls on soil erosion vulnerability: A multi-parameter spatial analysis in diverse landscapes of Tamil Nadu, South India84
A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product82
Editorial Board82
NRT-GSF: A novel near-real-time ground-satellite fusion algorithm to retrieve daily green area index at field scale81
Methodological considerations for studying spectral-plant diversity relationships81
On the ambiguity removal of wind direction derived from space-borne SAR imagery using deep learning80
Editorial Board80
Towards an easy-to-use algorithm to estimate longwave cloud radiative forcing: algorithm development and preliminary evaluation80
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data79
Phytoplankton composition from sPACE: Requirements, opportunities, and challenges78
The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring78
A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data78
Spectral-temporal traits in Sentinel-1 C-band SAR and Sentinel-2 multispectral remote sensing time series for 61 tree species in Central Europe76
Evolution of geodetic mass balance over the largest lake-terminating glacier in the Tibetan Plateau with a revised radar penetration depth based on multi-source high-resolution satellite data76
Estimating river discharge across scales with a novel regional gauging method driven by Sentinel satellite data76
Unoccupied aerial system (UAS) Structure-from-Motion canopy fuel parameters: Multisite area-based modelling across forests in California, USA75
Distinguishing forest types in restored tropical landscapes with UAV-borne LIDAR75
STARS: A novel gap-filling method for SDGSAT-1 nighttime light imagery using spatiotemporal and spectral synergy74
A generalized framework for drought monitoring across Central European grassland gradients with Sentinel-2 time series74
Predicting plant biomass and species richness in temperate grasslands across regions, time, and land management with remote sensing and deep learning73
Extrapolation of electromagnetic pointing error corrections for Sentinel-1 Doppler currents from land areas to the open ocean73
This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties73
Distinct contribution of the blue spectral region and far-red solar-induced fluorescence to needle nitrogen and phosphorus assessment in coniferous nutrient trials with hyperspectral imagery72
SDGSAT-1 nighttime light data improve village-scale built-up delineation72
Benefits of fully focused SAR altimetry to coastal wave height estimates: A case study in the North Sea72
FoScenes: A high-fidelity, large-scale 3D forest plant area density product derived from open-access airborne lidar data71
A novel global snow depth retrieval method considering snow metamorphism and forest influence71
Ozone profiles without blind area retrieved from MAX-DOAS measurements and comprehensive validation with multi-platform observations70
PAGrid: A probabilistic area-weighted gridding method for seamless mapping of sentinel-3 swath data70
Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content70
Mapping inundated bathymetry for estimating lake water storage changes from SRTM DEM: A global investigation69
Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau69
A new Multivariate Drought Severity Index to identify short-term hydrological signals: case study of the Amazon River basin69
Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters69
Novel algorithms for pair and pixel selection and atmospheric error correction in multitemporal InSAR68
Spatio-Temporal reconstruction to fill spatial gaps in global satellite vegetation optical depth products68
Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series68
Spatio-temporal variability of water use efficiency and its drivers in major forest formations in India67
Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China67
Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets67
Transfer learning in environmental remote sensing66
Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry66
The urban morphology on our planet – Global perspectives from space66
Leveraging Landsat-8/-9 underfly observations to evaluate consistency in reflectance products over aquatic environments66
Evaluating the performance of airborne and spaceborne lidar for mapping biomass in the United States' largest dry woodland ecosystem66
A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data64
A new approach for 2-D and 3-D precise measurements of ground deformation from optimized registration and correlation of optical images and ICA-based filtering of image geometry artifacts64
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery64
An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature63
Addressing critical influences on L-band radar backscatter for improved estimates of basal area and change63
An optimal sequential physical retrieval system for retrieving high-accuracy diurnal atmospheric gases from FY-4B/GIIRS: Theory, algorithm and evaluation63
Long-term ice mass changes in Greenland and Antarctica derived from satellite laser ranging63
Improve topographic LiDAR point cloud interpolation accuracy with geodesic distance62
Editorial Board62
Editorial Board62
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning61
Mapping large-scale pantropical forest canopy height by integrating GEDI lidar and TanDEM-X InSAR data61
Remotely sensed habitat diversity predicts species diversity on coral reefs61
Accurate mean wave period from SWIM instrument on-board CFOSAT61
Examining CNN terrain model for TanDEM-X DEMs using ICESat-2 data in Southeastern United States61
Assessment of EOS-07 MHS satellite observations and retrieval of specific humidity profiles using a random forest-based algorithm61
Mapping Annual Urban Evolution Process (2001–2018) at 250 m: A normalized multi-objective deep learning regression60
Generating 5 km resolution 1981–2018 daily global land surface longwave radiation products from AVHRR shortwave and longwave observations using densely connected convolutional neural networks60
Retrieving bbp and POC from CALIOP: A deep neural network approach60
First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy60
First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space60
Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics60
Identification and evaluation of nighttime light pollution in residential gathering area of megacities based on SDGSAT-1 glimmer imagery60
Exploring global dark sky quality and potential dark sky park site selection: Integrating multi-source spatial data with random forest model59
Practical recommendations and limitations for pushbroom hyperspectral imaging of tree stems59
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches59
Tropical cyclone signatures in SAR ocean radial Doppler Velocity59
Bridging the gap between airborne and spaceborne imaging spectroscopy for mountain glacier surface property retrievals59
Upscaling eddy covariance measurements of carbon and water fluxes to the continental scale by incorporating GEDI-derived canopy structural complexity metrics59
Changes in GEDI-based measures of forest structure after large California wildfires relative to pre-fire conditions59
Fractional cover mapping of wildland-urban interface fuels using Landsat, Sentinel 1 and PALSAR imagery58
Tracking states and transitions in semiarid rangelands: A spatiotemporal archetypal analysis of productivity dynamics using wavelets58
Downslope solifluction movements and permafrost degradation in the northeastern Qinghai-Tibetan Plateau revealed by InSAR58
An integrated method for angular and temporal reconstruction of land surface temperatures58
Deriving anisotropic correction for upwelling radiance from PACE's multi-angle polarimetry58
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks57
Impact of vegetation phenology on anisotropy of artificial light at night - Evidence from multi-angle satellite observations57
Refined InSAR tropospheric delay correction for wide-area landslide identification and monitoring57
Hedgerow mapping with high resolution satellite imagery to support policy initiatives at national level57
Modeling diurnal gross primary production in East Asia using Himawari-8/9 geostationary satellite data57
Lighting characteristics of public space in urban functional areas based on SDGSAT-1 glimmer imagery:A case study in Beijing, China57
The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing57
A hyperspectral view of the nearshore Mississippi River Delta: Characterizing suspended particles in coastal wetlands using imaging spectroscopy56
Co-registration accuracy between Landsat-8 and Sentinel-2 orthorectified products56
Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning56
Coupling ecological concepts with an ocean-colour model: Phytoplankton size structure56
ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes56
Arctic and Antarctic Surface Temperatures from AVHRR thermal Infrared satellite sensors 1982–202355
An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning algorithms55
Editorial Board55
Editorial Board55
Editorial Board55
Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests55
Exploring the potential of Aeolus lidar mission for ocean color applications54
Geospatial big data-driven roof greening priority and benefit assessment in Hong Kong54
Characterizing dynamics of built-up height in China from 2005 to 2020 based on GEDI, Landsat, and PALSAR data54
Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation54
A deep learning method for generating gap-free FAPAR time series from Landsat data53
Hidden becomes clear: Optical remote sensing of vegetation reveals water table dynamics in northern peatlands53
Canopy height estimation from PlanetScope time series with spatio-temporal deep learning53
Mapping urban construction sites in China through geospatial data fusion: Methods and applications53
Impact of microwave observations on the estimation of Arctic sea surface temperatures53
Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification53
Phase unwrapping of SAR interferogram from modified U-net via training data simulation and network structure optimization53
The many shades of red tides: Sentinel-2 optical types of highly-concentrated harmful algal blooms52
Multimodal aircraft flight altitude inversion from SDGSAT-1 thermal infrared data52
Remote sensing of dissolved CO2 concentrations in meso-eutrophic lakes using Sentinel-3 imagery52
Mapping fine-scale building heights in urban agglomeration with spaceborne lidar52
Uncertainty quantification for forest attribute maps with conformal prediction and 52
Quantifying the sensitivity of L-Band SAR to a decade of vegetation structure changes in savannas52
Retrieving fine-scale leaf and soil spectral properties from canopy reflectance with differentiable 3D radiative transfer52
Understanding temperature variations in mountainous regions: The relationship between satellite-derived land surface temperature and in situ near-surface air temperature52
A river runs through it: Robust automated mapping of riparian woodlands and land surface phenology across dryland regions52
Integrating InSAR and non-rigid optical pixel offsets to explore the kinematic behaviors of the Lanuza complex landslide52
Burned area detection and mapping using time series Sentinel-2 multispectral images51
Establishing the global isoscape of leaf carbon in C3 plants through the integrations of remote sensing, carbon, geographic, and physiological information51
Validation of the hot-spot model with terrestrial laser scanning51
Quantify and account for field reference errors in forest remote sensing studies51
CascadeDumpNet: Enhancing open dumpsite detection through deep learning and AutoML integrated dual-stage approach using high-resolution satellite imagery51
Accurate reconstruction of satellite-derived SST under cloud and cloud-free areas using a physically-informed machine learning approach51
Rainfall-caused water film on canopy surface biases remotely-sensed vegetation greenness51
Bushfire recovery at a long-term tall eucalypt flux site through the lens of a satellite: Combining multi-scale data for structural-functional insight50
The retrieval of aerosol optical properties based on a random forest machine learning approach: Exploration of geostationary satellite images50
A full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labels50
Low-amplitude brittle deformations revealed by UAV surveys in alluvial fans along the northwest coast of Lake Baikal: Neotectonic significance and geological hazards50
High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017–2021)50
Estimate of daytime single-layer cloud base height from advanced baseline imager measurements50
How much inundation occurs in the Amazon River basin?49
Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects49
Remote sensing of diverse urban environments: From the single city to multiple cities49
Inter-comparison of melt pond products from optical satellite imagery49
3D radiative transfer modeling of structurally complex forest canopies through a lightweight boundary-based description of leaf clusters49
Nonlinear effects of surface soil moisture changes on vegetation greenness over the Tibetan plateau49
Spatial-temporal evolution of landslides spanning the impoundment of Baihetan mega hydropower project revealed by satellite radar interferometry49
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning49
A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques48
Urbanization-induced spatial and temporal patterns of local drought revealed by high-resolution fused remotely sensed datasets48
Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation48
Soil moisture as an essential component for delineating and forecasting agricultural rather than meteorological drought48
Machine learning forecast of surface solar irradiance from meteo satellite data48
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar48
Sun-induced chlorophyll fluorescence is more strongly related to photosynthesis with hemispherical than nadir measurements: Evidence from field observations and model simulations47
Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources47
Editorial Board47
Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment47
Estimating leaf mass per area with leaf radiative transfer model47
Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations47
Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products47
Revolutionizing crop phenotyping: Enhanced UAV LiDAR flight parameter optimization for wide-narrow row cultivation46
Tracking the source direction of surface mass loads using vertical and horizontal displacements from satellite geodesy: A case study of the inter-annual fluctuations in the water level in the Great La46
Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images46
Slip surface, volume and evolution of active landslide groups in Gongjue County, eastern Tibetan Plateau from 15-year InSAR observations46
Editorial Board46
The next Landsat: Mission turning point?46
Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm46
Topographic controls on active microwave behavior of mountain snowpacks46
Editorial Board46
A remote sensing model for coral recruitment habitat45
Modeling, prediction, and retrieval of surface soil moisture from InSAR closure phase45
Improvements of AI-driven emission estimation for point sources applied to high resolution 2-D methane-plume imagery45
Satellite observations reveal ecosystem resistance and resilience to short-term water stress driven by dominant vegetation along a rainfall gradient in Australia45
Improved assessment of post-fire recovery trajectory of forests in Amazon's protected areas45
Trends of ambient O3 levels associated with O3 precursor gases and meteorology in California: Synergies from ground and satellite observations45
Unveiling coastal change across the Arctic with full Landsat collections and data fusion45
Relevance of earth observations of essential climate variables in wildfire adaptation45
Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)45
Conjugating remotely sensed data assimilation and model-assisted estimation for efficient multivariate forest inventory45
Fine-scale poverty estimation by integrating SDGSAT-1 glimmer images and urban functional zoning data45
How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?44
Training sensor-agnostic deep learning models for remote sensing: Achieving state-of-the-art cloud and cloud shadow identification with OmniCloudMask44
Global multi-scale surface soil moisture retrieval coupling physical mechanisms and machine learning in the cloud environment44
Multi-grain habitat models that combine satellite sensors with different resolutions explain bird species richness patterns best44
Seasonal patterns of spectral diversity at leaf and canopy scales in the Cedar Creek prairie biodiversity experiment44
On the sensitivity of SAR C- and L-band dual-polarized data for detection of early deforestation in the tropics44
Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison44
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