Remote Sensing of Environment

Article	Citations
Mapping global forest canopy height through integration of GEDI and Landsat data	519
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	482
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	413
Terrestrial laser scanning in forest ecology: Expanding the horizon	235
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 CRF	234
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes	208
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	205
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data	200
Landsat 9: Empowering open science and applications through continuity	199
Fifty years of Landsat science and impacts	189
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 algorithms	166
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	165
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	151
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS	151
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	150
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	150
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	148
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network	146
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	145
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	142
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	141
Review of GPM IMERG performance: A global perspective	140
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	140
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	140

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	139
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	139
The PRISMA imaging spectroscopy mission: overview and first performance analysis	137
A review of machine learning in processing remote sensing data for mineral exploration	134
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach	134
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images	133
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	133
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters	130
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	129
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	129
Continental-scale mapping and analysis of 3D building structure	129
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	127
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	125
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping	123
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations	123
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	119
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	119
Validation of ICESat-2 terrain and canopy heights in boreal forests	118
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	117
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale	115
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	114
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	113
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images	113
Satellite remote sensing of active fires: History and current status, applications and future requirements	112
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	111
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data	110
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	108
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS	107
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	107
Monitoring cropland abandonment with Landsat time series	107
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	105
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	104
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data	104
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data	103
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	101
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	99
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	98
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2	95
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	95
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	94
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature	94
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data	93
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook	93
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation	93
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model	93
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products	90
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	88
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 resolution	88
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations	88

NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	87
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images	87
Towards interpreting multi-temporal deep learning models in crop mapping	86
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	86
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2	85
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data	84
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0	84
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases	84
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data	83
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm	83
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2	83
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time	82
The Landsat Burned Area algorithm and products for the conterminous United States	82
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities	82
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing	80
Automated detection of rock glaciers using deep learning and object-based image analysis	80
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3	80
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering	80
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space	79
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales	78
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data	77
A summary of the special issue on remote sensing of land change science with Google earth engine	76
Agricultural drought mitigating indices derived from the changes in drought characteristics	76
Virtual image pair-based spatio-temporal fusion	76
Change detection using deep learning approach with object-based image analysis	76
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 behaviour	75
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016	75
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock	74
Crop mapping from image time series: Deep learning with multi-scale label hierarchies	74
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes	74
Training data requirements for fire severity mapping using Landsat imagery and random forest	73
Mapping temperate forest tree species using dense Sentinel-2 time series	73
Towards delivering on the Sustainable Development Goals using Earth observations	73
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review	73
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud	72
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau	71
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning	71
An automated rice mapping method based on flooding signals in synthetic aperture radar time series	71
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data	70
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis	69
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 regions	69
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau	69
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion	69
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities	68
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery	68
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop	68
The urban morphology on our planet – Global perspectives from space	68
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion	68
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–2018	68
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer	67
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts	67
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition	67
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details	67
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 gra	67
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics	66
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry	66
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015	66
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities	66
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification	66
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)	66
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison	66
Multi-layer high-resolution soil moisture estimation using machine learning over the United States	65
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico	65
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe	65
Pre- and within-season crop type classification trained with archival land cover information	65
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California	65
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing	65
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning	65
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection	64
Deeply synergistic optical and SAR time series for crop dynamic monitoring	64
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach	64
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products	64
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau	63
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series	63
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection	62
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series	62
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 Belt	62
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network	62
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters	62
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages	61

Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR	61
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors	61
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution	61
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry	60
Detection of sub-canopy forest structure using airborne LiDAR	60
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)	60
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest	60
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series	60
Estimating inundation extent using CYGNSS data: A conceptual modeling study	59
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors	59
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China	58
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data	58
Adopting deep learning methods for airborne RGB fluvial scene classification	58
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows	57
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features	57
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods	56
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning	56
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr	56
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression	56
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials	55
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches	55
TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production	55
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data	55
A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison	55
Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations	55
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity	55
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data	55
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data	55
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons	55
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China	54
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas	54
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks	54
Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data	54
Sentinel-1 soil moisture at 1 km resolution: a validation study	54
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method	54
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin	54
SAR-enhanced mapping of live fuel moisture content	53
Satellite prediction of forest flowering phenology	53
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method	53
CNN-based burned area mapping using radar and optical data	53
Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities	53
Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data	53
Analysis of scattering characteristics from inland bodies of water observed by CYGNSS	53
Thick cloud removal in Landsat images based on autoregression of Landsat time-series data	52
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method	52
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia	52
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR	52
Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions	52
Antarctic spring ice-edge blooms observed from space by ICESat-2	52
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals	52
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites	52
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method	51
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a	51
Sentinel-1 time series data for monitoring the phenology of winter wheat	51
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery	51
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning	51
Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones	50
Sea ice extents continue to set new records: Arctic, Antarctic, and global results	50
A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data	50
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data	50
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data	50
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets	49
Advances in quantifying power plant CO2 emissions with OCO-2	49
An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach	49
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps	49
The superiority of the normalized difference phenology index (NDPI) for estimating grassland aboveground fresh biomass	49
Unravelling a large methane emission discrepancy in Mexico using satellite observations	49
Remote sensing of land change: A multifaceted perspective	49
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis	49
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016	49
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication	49
Geographically and temporally weighted neural network for winter wheat yield prediction	49
Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery	48
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas	48
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis	48
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest	48
Advances in hyperspectral remote sensing of vegetation traits and functions	48
A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering	48
Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions	47
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China	47
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach	47
Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests	47
Digital terrain model elevation corrections using space-based imagery and ICESat-2 laser altimetry	47
Towards operational validation of annual global land cover maps	47
Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network	46
Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter	46
A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems	46
Satellite image texture captures vegetation heterogeneity and explains patterns of bird richness	46
Spatio-temporal spectral unmixing of time-series images	46
A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images	46
Not all DEMs are equal: An evaluation of six globally available 30 m resolution DEMs with geodetic benchmarks and LiDAR in Mexico	46
Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)	45
Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series	45
SMART-SDB: Sample-specific multiple band ratio technique for satellite-derived bathymetry	45
A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images	45