Remote Sensing of Environment

Article	Citations
Mapping global forest canopy height through integration of GEDI and Landsat data	604
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	527
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	461
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	270
Terrestrial laser scanning in forest ecology: Expanding the horizon	267
Fifty years of Landsat science and impacts	235
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	226
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	193
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	181
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms	179
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	179
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	172
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	172
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	172
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	171
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	167
A review of machine learning in processing remote sensing data for mineral exploration	164
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	163
The PRISMA imaging spectroscopy mission: overview and first performance analysis	159
Review of GPM IMERG performance: A global perspective	157
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	156
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	154
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	152
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	148
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	142

Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	141
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	139
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	137
Validation of ICESat-2 terrain and canopy heights in boreal forests	136
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	135
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	130
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	129
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	128
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	126
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	125
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	124
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	124
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	124
Satellite remote sensing of active fires: History and current status, applications and future requirements	122
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	122
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	112
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	112
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	110
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data	108
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	108
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model	106
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	103
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	103
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data	102
Towards interpreting multi-temporal deep learning models in crop mapping	99
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)	99
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2	98
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations	97
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing	96
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	95
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock	94
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products	94
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	93
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	91
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0	91
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities	91
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales	90
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases	90
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes	88
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3	88
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2	87
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data	87
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review	87
Virtual image pair-based spatio-temporal fusion	86
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016	86
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm	86
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space	86
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series	86
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	85
Crop mapping from image time series: Deep learning with multi-scale label hierarchies	85

Change detection using deep learning approach with object-based image analysis	84
Mapping temperate forest tree species using dense Sentinel-2 time series	84
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering	84
Automated detection of rock glaciers using deep learning and object-based image analysis	83
The urban morphology on our planet – Global perspectives from space	83
An automated rice mapping method based on flooding signals in synthetic aperture radar time series	82
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer	80
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning	80
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion	79
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities	79
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data	78
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery	77
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison	77
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection	76
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis	76
Pre- and within-season crop type classification trained with archival land cover information	76
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion	75
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau	75
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe	74
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop	74
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	74
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification	73
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics	73
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach	72
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau	71
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)	71
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data	71
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	71
Multi-layer high-resolution soil moisture estimation using machine learning over the United States	70
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products	70
Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition	70
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning	70
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015	69
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau	69
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico	69
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection	68
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	68
Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data	68
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California	68
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series	66
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters	66
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network	66
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons	65
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series	65
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors	65
A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison	65
Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities	64
Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations	64
A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning	63
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution	63
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors	63
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks	63
Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data	63
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features	63
Remote sensing of land change: A multifaceted perspective	62
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning	62
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin	62
Sentinel-1 soil moisture at 1 km resolution: a validation study	62
TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production	62
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity	61
A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data	61
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr	61
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods	61
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data	61
Adopting deep learning methods for airborne RGB fluvial scene classification	61
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows	61
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression	60
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data	60
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials	60
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach	59
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia	59
Sea ice extents continue to set new records: Arctic, Antarctic, and global results	59
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China	59
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning	59
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method	58
CNN-based burned area mapping using radar and optical data	58
Satellite prediction of forest flowering phenology	58
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery	58
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method	58
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas	58

Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests	57
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps	57
Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery	57
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis	57
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a	57
Thick cloud removal in Landsat images based on autoregression of Landsat time-series data	56
Towards operational validation of annual global land cover maps	56
Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions	56
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data	55
Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning	55
Geographically and temporally weighted neural network for winter wheat yield prediction	55
Advances in quantifying power plant CO2 emissions with OCO-2	55
Continuous monitoring of forest change dynamics with satellite time series	54
Advances in hyperspectral remote sensing of vegetation traits and functions	54
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China	54
A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering	54
Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones	54
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis	54
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method	54
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data	54
Digital terrain model elevation corrections using space-based imagery and ICESat-2 laser altimetry	53
Semantic segmentation of water bodies in very high-resolution satellite and aerial images	53
Mapping crops within the growing season across the United States	53
Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network	52
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication	52
Attention mechanism-based generative adversarial networks for cloud removal in Landsat images	52
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest	51
Unravelling a large methane emission discrepancy in Mexico using satellite observations	51
Not all DEMs are equal: An evaluation of six globally available 30 m resolution DEMs with geodetic benchmarks and LiDAR in Mexico	51
The superiority of the normalized difference phenology index (NDPI) for estimating grassland aboveground fresh biomass	51
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery	51
Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions	51
Decoupling of greenness and gross primary productivity as aridity decreases	51
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets	51
A systematic method for spatio-temporal phenology estimation of paddy rice using time series Sentinel-1 images	51
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas	51
A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images	51
A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images	50
Eutrophication state in the Eastern China based on Landsat 35-year observations	50
Mapping annual irrigation from Landsat imagery and environmental variables across the conterminous United States	50
Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series	50
Satellite image texture captures vegetation heterogeneity and explains patterns of bird richness	49
50 years of lake ice research from active microwave remote sensing: Progress and prospects	49
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions	49
A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications	49
Mapping local climate zones for cities: A large review	49
Mapping, validating, and interpreting spatio-temporal trends in post-disturbance forest recovery	48
Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona, from InSAR observations and independent component analysis	48
Uncertainty analysis of eleven multisource soil moisture products in the third pole environment based on the three-corned hat method	48
Evaluation of consistency among three NDVI products applied to High Mountain Asia in 2000–2015	48
Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter	48
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas	47
Spatio-temporal spectral unmixing of time-series images	47
SMART-SDB: Sample-specific multiple band ratio technique for satellite-derived bathymetry	47
Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021	47
Investigation of land surface phenology detections in shrublands using multiple scale satellite data	46
Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data	46
Coastline detection in satellite imagery: A deep learning approach on new benchmark data	46
Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series	46
Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses	46
A robust index to extract paddy fields in cloudy regions from SAR time series	46
Quality control and crop characterization framework for multi-temporal UAV LiDAR data over mechanized agricultural fields	46
Soil moisture as an essential component for delineating and forecasting agricultural rather than meteorological drought	45
Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources	45
Integrating topographic knowledge into deep learning for the void-filling of digital elevation models	45
A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence	45
Triggered afterslip on the southern Hikurangi subduction interface following the 2016 Kaikōura earthquake from InSAR time series with atmospheric corrections	45
A data-driven approach to estimate leaf area index for Landsat images over the contiguous US	44
Aboveground biomass of salt-marsh vegetation in coastal wetlands: Sample expansion of in situ hyperspectral and Sentinel-2 data using a generative adversarial network	44
Validation of the U.S. Geological Survey's Land Change Monitoring, Assessment and Projection (LCMAP) Collection 1.0 annual land cover products 1985–2017	44
Soil moisture-based index for agricultural drought assessment: SMADI application in Pernambuco State-Brazil	44
A novel framework to assess all-round performances of spatiotemporal fusion models	44
GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet	44
Performance of Ocean Colour Chlorophyll a algorithms for Sentinel-3 OLCI, MODIS-Aqua and Suomi-VIIRS in open-ocean waters of the Atlantic	44
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring	44
Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA	44
A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion	43
Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach	43
A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning	43
Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters	43
Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting	43
Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data	43
Transfer learning in environmental remote sensing	43
Joint exploitation of space-borne and ground-based multitemporal InSAR measurements for volcano monitoring: The Stromboli volcano case study	43
Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model	43
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data	43
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks	43
Unpacking the drivers of diurnal dynamics of sun-induced chlorophyll fluorescence (SIF): Canopy structure, plant physiology, instrument configuration and retrieval methods	42
Croplands intensify regional and global warming according to satellite observations	42
Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms	42
Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations	42
Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data	42
Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring	41
How to automate timely large-scale mangrove mapping with remote sensing	41
Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine	41