Remote Sensing of Environment

Papers
(The H4-Index of Remote Sensing of Environment is 83. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Mapping global forest canopy height through integration of GEDI and Landsat data519
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications482
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data413
Terrestrial laser scanning in forest ecology: Expanding the horizon235
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 CRF234
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes208
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China205
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data200
Landsat 9: Empowering open science and applications through continuity199
Fifty years of Landsat science and impacts189
Validation practices for satellite soil moisture retrievals: What are (the) errors?176
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms166
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets165
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters151
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS151
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements150
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals150
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States148
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network146
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends145
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks142
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters141
Review of GPM IMERG performance: A global perspective140
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature140
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning140
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission139
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine139
The PRISMA imaging spectroscopy mission: overview and first performance analysis137
A review of machine learning in processing remote sensing data for mineral exploration134
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach134
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives133
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images133
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters130
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents129
Continental-scale mapping and analysis of 3D building structure129
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks129
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future127
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives125
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping123
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations123
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany119
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images119
Validation of ICESat-2 terrain and canopy heights in boreal forests118
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians117
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale115
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping114
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection113
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images113
Satellite remote sensing of active fires: History and current status, applications and future requirements112
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR111
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data110
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series108
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS107
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles107
Monitoring cropland abandonment with Landsat time series107
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal105
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach104
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data104
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data103
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters101
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery99
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index98
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals95
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-295
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature94
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery94
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook93
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation93
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model93
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data93
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products90
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach88
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)88
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution88
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations88
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales87
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images87
Towards interpreting multi-temporal deep learning models in crop mapping86
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction86
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-285
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data84
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.084
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases84
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data83
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm83
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -283
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