Remote Sensing of Environment

Article	Citations
Deep learning in environmental remote sensing: Achievements and challenges	780
Mapping global forest canopy height through integration of GEDI and Landsat data	462
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	448
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	379
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series	228
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	221
Terrestrial laser scanning in forest ecology: Expanding the horizon	211
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes	193
Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops	187
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions	185
Landsat 9: Empowering open science and applications through continuity	184
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	183
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data	183
Fifty years of Landsat science and impacts	167
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, California	157
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms	155
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	150
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS	148
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	143
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	143
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	140
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	139
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network	137
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	135

Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	132
Hotspots of snow cover changes in global mountain regions over 2000–2018	132
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach	129
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	129
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	128
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters	127
The PRISMA imaging spectroscopy mission: overview and first performance analysis	124
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)	124
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images	124
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	121
Continental-scale mapping and analysis of 3D building structure	121
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	121
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	119
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	119
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	119
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping	118
Review of GPM IMERG performance: A global perspective	116
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	116
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations	116
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change	115
A review of machine learning in processing remote sensing data for mineral exploration	115
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	115
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	111
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data	110
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images	110
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	110
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	106
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	106
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data	104
Validation of ICESat-2 terrain and canopy heights in boreal forests	104
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	103
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	102
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	102
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS	101
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	99
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	99
Monitoring cropland abandonment with Landsat time series	99
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	98
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data	97
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data	97
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	96
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	95
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems	95
Satellite remote sensing of active fires: History and current status, applications and future requirements	94
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	93
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2	93
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	93
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	92
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	91
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature	89

Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation	88
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	86
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook	85
Towards interpreting multi-temporal deep learning models in crop mapping	84
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	84
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images	84
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)	83
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	82
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	82
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data	81
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0	81
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases	81
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm	80
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products	80
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution	79
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2	79
The Landsat Burned Area algorithm and products for the conterminous United States	78
Forecasting the magnitude of potential landslides based on InSAR techniques	78
Quantification of lake clarity in China using Landsat OLI imagery data	77
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations	77
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	76
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time	75
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model	75
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales	75
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3	75
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering	74
Agricultural drought mitigating indices derived from the changes in drought characteristics	74
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities	73
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery	73
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2	73
Virtual image pair-based spatio-temporal fusion	72
Automated detection of rock glaciers using deep learning and object-based image analysis	72
Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation	71
Training data requirements for fire severity mapping using Landsat imagery and random forest	71
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing	71
A summary of the special issue on remote sensing of land change science with Google earth engine	70
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	70
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data	70
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data	70
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space	70
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud	69
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016	69
An automated rice mapping method based on flooding signals in synthetic aperture radar time series	69
Crop mapping from image time series: Deep learning with multi-scale label hierarchies	68
Towards delivering on the Sustainable Development Goals using Earth observations	68
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau	68
Change detection using deep learning approach with object-based image analysis	68
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock	67
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion	66
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes	66
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–2018	66
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details	66
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach	66
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities	65
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau	65
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion	65
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 field	65
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	65
Mapping temperate forest tree species using dense Sentinel-2 time series	65
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing	64
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition	64
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)	64
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery	63
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	63
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts	63
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion	62
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry	62
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model	62
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification	62
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop	62
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico	62
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe	62
Multi-layer high-resolution soil moisture estimation using machine learning over the United States	62
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison	62
Deeply synergistic optical and SAR time series for crop dynamic monitoring	62
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach	61
Pre- and within-season crop type classification trained with archival land cover information	61
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California	61
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning	61
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data	60

High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015	60
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning	60
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics	60
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis	60
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer	60
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors	60
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau	59
The urban morphology on our planet – Global perspectives from space	59
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters	59
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review	59
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates	59
Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR	59
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	59
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)	59
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities	58
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry	58
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China	58
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution	58
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products	57
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest	57
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection	57
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series	56
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors	56
Open water detection in urban environments using high spatial resolution remote sensing imagery	56
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network	55
Adopting deep learning methods for airborne RGB fluvial scene classification	55
Detection of sub-canopy forest structure using airborne LiDAR	55
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages	55
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series	55
Estimating inundation extent using CYGNSS data: A conceptual modeling study	55
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data	54
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features	54
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons	54
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series	54
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection	54
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 regression	53
TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production	52
Analysis of scattering characteristics from inland bodies of water observed by CYGNSS	52
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials	52
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches	52
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows	52
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods	51
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data	51
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr	51
Satellite prediction of forest flowering phenology	51
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks	51
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR	51
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites	51
SAR-enhanced mapping of live fuel moisture content	50
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity	50
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data	50
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	50
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method	50
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning	50
Antarctic spring ice-edge blooms observed from space by ICESat-2	50
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method	50
Sentinel-1 soil moisture at 1 km resolution: a validation study	50
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas	49
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin	49
Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations	49
CNN-based burned area mapping using radar and optical data	49
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method	49
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps	49
Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale	48
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method	48
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia	48
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China	48
Sea ice extents continue to set new records: Arctic, Antarctic, and global results	48
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016	48
An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach	48
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis	48
Thick cloud removal in Landsat images based on autoregression of Landsat time-series data	48
Unravelling a large methane emission discrepancy in Mexico using satellite observations	48
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery	48
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals	47
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis	47
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication	47
A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison	47
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data	47
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest	46
Sentinel-1 time series data for monitoring the phenology of winter wheat	46
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas	46
Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data	46
Advances in quantifying power plant CO2 emissions with OCO-2	46
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a	46
Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data	46
Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions	46
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning	45
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach	45
Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones	45
A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering	45
Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)	45
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China	44
A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems	44