Remote Sensing of Environment

Papers
(The H4-Index of Remote Sensing of Environment is 80. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Multipeak retracking of radar altimetry waveforms over ice sheets452
Gravity recovery from SWOT altimetry using geoid height and geoid gradient427
Deriving leaf-scale chlorophyll index (CIleaf) from canopy reflectance by correcting for the canopy multiple scattering based on spectral invariant theory413
Correcting for the clumping effect in leaf area index calculations using one-dimensional fractal dimension345
Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics306
Indices enhance biological soil crust mapping in sandy and desert lands290
Multi-source data analysis to assess the past and present kinematics of the Pisciotta Deep-Seated Gravitational Slope Deformation (southern Italy)273
Recent change in ecosystem water use efficiency in China mainly dominated by vegetation greening and increased CO2261
Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation230
Estimation of summer pan-Arctic ice draft from satellite passive microwave observations196
Seasonality of vegetation greenness in Southeast Asia unveiled by geostationary satellite observations192
Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application192
Downscaling canopy photochemical reflectance index to leaf level by correcting for the soil effects189
Modeling the start of frozen dates with leaf senescence over Tibetan Plateau186
Eutrophication state in the Eastern China based on Landsat 35-year observations184
Filling gaps in cloudy Landsat LST product by spatial-temporal fusion of multi-scale data177
Automated detection and tracking of medium-large icebergs from Sentinel-1 imagery using Google Earth Engine175
Semantic segmentation of water bodies in very high-resolution satellite and aerial images175
Mapping the first dataset of global urban land uses with Sentinel-2 imagery and POI prompt171
True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis170
Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities169
A model based on spectral invariant theory for correcting topographic effects on vegetation canopy reflectance165
Monte Carlo uncertainty analysis from top-of-atmosphere reflectance to plant functional type distributions160
A deep learning model for incorporating temporal information in haze removal158
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) 1151
Editorial Board148
Thermal infrared reflectance characteristics of natural leaves in 8–14 μm region: Mechanistic modeling and relationships with leaf water content137
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]135
Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models134
A parametric approach for global estimation of forest above-ground biomass with SMOS and SMAP L-band radiometer data133
Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities132
Comprehensive reassessment of Australia's land-surface phenology trends (1982–2022) using circular statistics and a harmonised NDVI dataset131
Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content128
3D Monte Carlo surface-atmosphere radiative transfer modelling with DART124
A PSI targets characterization approach to interpreting surface displacement signals: A case study of the Shanghai metro tunnels118
Characterization and prediction of InSAR-derived ground motion with ICA-assisted LSTM model113
BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes113
Unsupervised object-based spectral unmixing for subpixel mapping112
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 TGRA110
Learning spectral-indices-fused deep models for time-series land use and land cover mapping in cloud-prone areas: The case of Pearl River Delta109
Entity-based image analysis: A new strategy to map rural settlements from Landsat images109
A novel identification method for unrevealed mesoscale eddies with transient and weak features-Capricorn Eddies as an example107
Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data106
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin104
UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States103
Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020103
Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data103
Evaluating urban methane emissions from space using TROPOMI methane and carbon monoxide observations102
Extracting flowering phenology from grassland species mixtures using time-lapse cameras101
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock100
Spatio-Temporal reconstruction to fill spatial gaps in global satellite vegetation optical depth products99
Benefits of fully focused SAR altimetry to coastal wave height estimates: A case study in the North Sea97
Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America97
Improving the combined use of reflectance and thermal channels for ocean and coastal cloud detection for the Sea and Land Surface Temperature Radiometer (SLSTR)97
Visualizing the pre-visual: Rice blast infection signals revealed97
This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties97
Consistent metropolitan boundaries for the remote sensing of urban land95
Corrigendum to “Characterizing satellite-derived freeze/thaw regimes through spatial and temporal clustering for the identification of growing season constraints on vegetation productivity” [Remote Se94
Net primary production in the Labrador Sea between 2014 and 2022 derived from ocean colour remote sensing based on ecological regimes94
Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data93
Evaluating the performance of airborne and spaceborne lidar for mapping biomass in the United States' largest dry woodland ecosystem92
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery91
Robust retrieval of soil moisture at field scale across wide-ranging SAR incidence angles for soybean, wheat, forage, oat and grass90
The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring90
A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data90
Leveraging Landsat-8/-9 underfly observations to evaluate consistency in reflectance products over aquatic environments90
An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI90
Spatio-temporal variability of water use efficiency and its drivers in major forest formations in India89
On the ambiguity removal of wind direction derived from space-borne SAR imagery using deep learning86
Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS85
Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau84
Estimating river discharge across scales with a novel regional gauging method driven by Sentinel satellite data84
Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series84
Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry83
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 data82
Novel algorithms for pair and pixel selection and atmospheric error correction in multitemporal InSAR82
Extrapolation of electromagnetic pointing error corrections for Sentinel-1 Doppler currents from land areas to the open ocean82
Monitoring volcanic CO2 flux by the remote sensing of vegetation on Mt. Etna, Italy80
A new Multivariate Drought Severity Index to identify short-term hydrological signals: case study of the Amazon River basin80
Spectral-temporal traits in Sentinel-1 C-band SAR and Sentinel-2 multispectral remote sensing time series for 61 tree species in Central Europe80
Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets80
A novel global snow depth retrieval method considering snow metamorphism and forest influence80
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