GIScience & Remote Sensing

Papers
(The median citation count of GIScience & Remote Sensing is 6. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 2020131
An integrated evaluation for SWOT KaRIn Level-2 significant wave height product99
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years97
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies92
Assessing spatiotemporal consistency of vegetation productivity indicators (SIF, GPP, NPP) in northwest China: climate and vegetation perspectives91
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach88
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study85
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach83
QeRSIF: a quality-enhanced red solar-induced chlorophyll fluorescence dataset for TROPOMI satellite82
A systematic assessment of provincial-level synergy between air pollution control and carbon mitigation in China80
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model77
The hidden economic costs of air pollution in China: evidence from remotely sensed nighttime light data76
Development of a global 1 km phenology dataset (1982–2018) utilizing the spatiotemporal fusion of MODIS and AVHRR data69
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters63
Embedded physical constraints in machine learning to enhance vegetation phenology prediction60
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing58
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States57
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection57
All-sky hourly estimation over East Asia using Himawari-8 AHI and multi-source data: investigating the main climatic drivers of afternoon depression and intraday variability in gross primary productiv55
Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness55
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images52
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods52
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models51
Monitoring active fires in Borneo from Sentinel-2 MSI images51
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario46
Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artifi44
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach43
Dual generative adversarial networks for merging ocean transparency from satellite observations43
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series40
Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery40
An improved change detection method for high-resolution soil moisture mapping in permafrost regions39
Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns39
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine34
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery34
A review of building detection from very high resolution optical remote sensing images33
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation33
Improved maize mapping using multi-source data fusion coupled with height-spectral Gaussian mixture modeling33
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China33
MSNet: multispectral semantic segmentation network for remote sensing images32
Application of deep learning in cloud cover prediction using geostationary satellite images32
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images32
Monitoring ecological and environmental stress patterns over the past two decades in the Mekong River basin31
Satellite A-DInSAR pattern recognition for seismic vulnerability mapping at city scale: insights from the L’Aquila (Italy) case study31
Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing31
Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–201731
An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable31
An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud31
Mapping the first global long time series wetland multitype sample dataset via the Google Earth Engine: a hybrid method of automated generation—index thresholding—spectral matching30
Scale effects of the spatiotemporal relationship between nighttime light and population activity intensity: a case study in Shanghai, China30
Decadal analysis of sea surface temperature patterns, climatology, and anomalies in temperate coastal waters with Landsat-8 TIRS observations29
Multiscale dynamics-informed deep learning reconstruction of global ocean offshore near-surface current29
Dynamic variations in thermal regime and surface deformation along the drainage channel for an expanding lake on the Tibetan Plateau29
Integrating time-series analysis and deep learning methods to reconstruct the long-term retrogressive thaw slumps dynamics in the Qinghai-Tibet Plateau28
Explaining spatially heterogeneous drivers of urban expansion with an XGBoost–SHAP–UGM framework28
SDNet: a multi-scale SWOT framework for denoising and quality-control optimization in inland water body extraction27
Comparative analysis of long-term trends and climate sensitivity of spring phenology across forests, shrublands, and grasslands in the middle–high latitudes of the Northern Hemisphere27
Beyond the jam: field theory modeling of congestion’s ripple effects on traffic dynamics26
Localized deformation detection and prediction in wide-range urban environments26
Estimating residential-block scale urban sound environment discomfort level across Chinese cities using multiscale, multispectral remote sensing, and deep learning26
Geometric feature-enhanced reconstruction and refinement of photogrammetric mesh models in man-made environments26
Phenology-based cropland retirement remote sensing model: a case study in Yan’an, Loess Plateau, China26
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction26
A new framework for mapping rubber plantations through the combination of semiautomatic sample migration, dynamic phenology, and change detection variables based on time series Landsat images26
Spatio-temporal variability of surface temperatures in High Arctic periglacial environment using UAV thermal imagery and in-situ measurements26
Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation24
MDA-RSM: multi-directional adaptive remote sensing mamba for building extraction24
Using remote sensing for exposure and seismic vulnerability evaluation: is it reliable?23
Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model23
Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations22
SAR remote sensing for monitoring harmful algal blooms using deep learning models22
A novel landslide susceptibility prediction framework based on contrastive loss22
Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways22
Spatial optimization of cultivated land protection policy implementation effect in China using a geographically optimal zones-based heterogeneity model22
Global crop calendars of maize and wheat in the framework of the WorldCereal project22
A robust and fully automated morphology-based approach for revealing changes of China’s coastal tidal flats from 2016 to 202422
Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping21
A spatiotemporal knowledge graph for driving factor analysis and growth prediction of regional economy in China21
Global hourly seamless AOD through measurement-adjusted machine learning fusion of multi-satellite and reanalysis data21
Mapping China’s photovoltaic distribution and decarbonization capacity using a customized genetic algorithm-enhanced machine learning approach21
An advanced coverage estimation method to quantify biological soil crust coverage using Sentinel-2 imagery in desert and sandy land of China21
Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands21
Beyond flat cities: dramatic 2D/3D differences in urban gray–green space configurations and the nonlinear thermal regulation mechanisms20
Spatiotemporal patterns of remotely sensed phenology and their response to climate change and topography in subtropical bamboo forests during 2001-2017: a case study in Zhejiang Province, China20
Mapping irrigated cropland at 30 m spatial resolution in northern China over the past three decades20
Toward unsupervised building extraction from very high-resolution remote sensing images using SAM and CLIP20
A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems20
Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method20
Coastline extraction using remote sensing: a review20
Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time20
Assessing the relative contribution of climate change and human activity factors to spatiotemporal distributions of sand fixation service in the Loess Plateau19
Re-evaluating the role of plant traits in cross-scale vegetation simulations: evidence from coastal dwarf forests19
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture19
Spatiotemporal variation in bamboo Solar-induced chlorophyll fluorescence (SIF) in China based on the global Orbiting Carbon Observatory-2 (OCO-2) carbon satellite and study on the response to climate19
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning19
Correction19
Remotely sensed monitoring of coastal geomorphology: coupling satellite-derived vegetation edges with other proxy metrics19
Ecologically critical thresholds of marine heatwaves control spatiotemporal patterns of Japanese flying squid19
A hydrogeomorphology-informed method for mapping continuous river networks from satellite imagery18
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland18
A phenomenology-based algorithm for extracting submerged aquatic vegetation in lakes using Sentinel-2 time seriesImagery: a case study of Potamogeton crispus18
Exact Voronoi diagram for topographic spatial analysis18
A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset18
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau18
Mapping Coastal Redwoods ( Sequoia sempervirens ) across their natural range: an updateable and field-validated distribution map using Sentinel satellite18
Mapping Chinese urban carbon emissions with a graph-based multi-branch deep learning framework18
Enhancing urban resilience through Tomo-PSInSAR-based structural health monitoring18
Land surface temperature retrieval from FY-3E/MERSI using an optimized water vapor scaling method17
Subhourly ice surface temperature retrieval over the Larsen C Ice Shelf using geostationary satellite data and machine learning17
An interpretable physics-informed deep learning model for estimating multiple air pollutants17
LMSeg: an end-to-end geometric message-passing network on barycentric dualgraphs for large-scale landscape mesh segmentation17
Addressing spatial imprecision in deep learning for satellite imagery-based socioeconomic predictions16
Retrieval of thin-ice thickness in arctic marginal seas through a combination of thermal and optical observations from polar orbiting satellites16
Spatiotemporal dynamics of urban sprawl in China from 2000 to 202016
Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data16
Mapping lava flow from the Kilauea eruption of 2018 in the east rift zone using space-based synthetic aperture radar16
Performance and generalizability impacts of incorporating location encoders into deep learning for dynamic PM 2.5 estimation16
Crown-BERT: a crown-morphology-aware deep learning framework for individual tree species classification using UAV LiDAR and hyperspectral data16
A novel spatiotemporal fractal dimension (STFD) for assessing ecological environment of the large-scale Yangtze River Basin China from 2012 to 2021 remote sensing data15
Collaborative multiple change detection methods for monitoring the spatio-temporal dynamics of mangroves in Beibu Gulf, China15
Detecting annual anthropogenic encroachment on intertidal vegetation using full Landsat time-series in Fujian, China15
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China15
KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images15
MapSAM: adapting segment anything model for automated feature detection in historical maps15
Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China15
Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks15
Model-based analysis of the relationship between endmember variability and temporal unmixing performance15
Identifying composite spatial patterns of China’s shrinking cities from nighttime light remote sensing15
Contribution of anthropogenic consolidation processes to subsidence phenomena from multi-temporal DInSAR: a GIS-based approach14
Multi-source point cloud registration for urban areas using a coarse-to-fine approach14
Two-tier classification framework for mapping grassland types using multisource earth observation data14
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction14
An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR data14
Spatial heterogeneity and nonlinear climatic responses of net ecosystem productivity across China14
Modeling of spatial stratified heterogeneity14
Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images14
GTGRI: a Gaussian time-weighted growth rate index for multi-season paddy rice mapping in diverse climates with dense SAR time series14
Spatiotemporal dynamics and drivers of ecological quality in inner Mongolia: insights from an integrated LGBM-SHAP and GOZH model14
Weakly supervised cloud detection combining spectral features and multi-scale deep network14
Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters13
Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models13
Adaptive volume coherence optimization for forest height inversion in mountainous areas using innovative spaceborne L-band bistatic InSAR13
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery13
A 3-dimension urban growth analysis using local climate zone mapping13
Integrated framework for identifying shrinking cities using nighttime light and socioeconomic data: a case study of China12
High-spatial resolution UAV multispectral data complementing satellite imagery to characterize a chinstrap penguin colony ecosystem on deception island (Antarctica)12
Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images12
Polyline simplification using a region proposal network integrating raster and vector features12
Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making12
A review of remote sensing in coastal aquaculture: data, geographic hotspots, methods, and challenges12
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data12
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images12
A comprehensive high-resolution lake inventory across the highly heterogeneous Tibetan Plateau from 2020 Sentinel-2 imagery using deep learning12
From rainforests to drylands: a context-specific framework for mapping land use and land cover dynamics in Northeast Brazil (2000–2020)11
Pumice rafts in the global ocean: a remote sensing assessment11
Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data11
Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations11
Integrated knowledge graph construction framework for places-of-interest retrieval using a property graph database11
Trends analysis of rangeland condition monitoring assessment and projection (RCMAP) fractional component time series (1985–2020)11
An improved color consistency optimization method based on the reference image contaminated by clouds11
Multitemporal impervious surface estimation via an optimized stable/change pixel detection approach11
Toward multi-granularity spatiotemporal simulation modeling of crowd movement for dynamic assessment of tourist carrying capacity11
Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region11
AI-based 2-m super-resolution of Sentinel-2 imagery for high-resolution SDG monitoring11
Coral reef applications of Landsat-8: geomorphic zonation and benthic habitat mapping of Xisha Islands, China11
Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation11
Changes in carbon stock in the Xing’an permafrost regions in Northeast China from the late 1980s to 202011
Vegetation dynamics along an urban–rural gradient in the Yangtze River Delta: patterns, mechanisms, and scenario projections using a mixed-cell cellular automata (MCCA) framework10
Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data10
Inferring the heterogeneous effect of urban land use on building height with causal machine learning10
A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine10
MFFNet: a wavelet transform-based multimodal frequency fusion network for remote sensing semantic segmentation10
Mapping global urban inequality under climate change and its interaction with sustainable development10
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data10
Home sharing or crime sharing? Evidences of the relationship between Airbnb, crime and structural factors in Malaga, Spain10
Identifying critical road sections using the weighted periodicity mined from trajectory data for efficient urban transportation10
A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China10
Identifying climate and environmental determinants of spatial disparities in wheat production using a geospatial machine learning model10
Joint retrieval of atmospheric temperature and humidity profiles using spaceborne hyperspectral microwave radiometer10
Accuracy evaluation and effect factor analysis of GEDI aboveground biomass product for temperate forests in the conterminous United States10
Upscaling peatland mapping with drone-derived imagery: impact of spatial resolution and vegetation characteristics10
Satellite flood detection integrating hydrogeomorphic and spectral indices10
Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions10
NDCI-mGMM: a novel and automated model for dynamic maize mapping during the growing season10
Reconstructing long-term (2003–2019) global high-resolution XCO 2 : bridging observational gaps with machine learning10
Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology10
Enhancing phenological model accuracy in subtropical forests using data assimilation coupled with deep learning10
Urbanization’s role in shaping ornamental tree diversity: a remote sensing and future scenario-based perspective10
Towards efficient global grape mapping: a two-stage spatio-temporal filtering framework for training sample collection10
How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscap10
An extensive validation of ocean color products for the black sea9
The value of increased spatial resolution for inundated area mapping in the Western United States9
Utilizing deep learning techniques in operational system of geo-KOMPSAT-2A satellite for estimating solar radiation and aerosol optical depth9
Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval9
The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Tor9
High-resolution satellite video single object tracking based on thicksiam framework9
Assessment of adjacency-effect correction for satellite-derived reflectance and water quality in agriculturally impacted rivers: a case study in Eastern Canada9
A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method9
Revealing subtle vegetation productivity dynamics in China via a reference-based framework9
Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory9
Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district9
Impact analysis of sea level rise on the future fate of small coral islands: the case of Hurasdhoo Island in the Maldives9
Spatial heterogeneity and threshold effects of climate and human activities on ecological drought trends in northern china: insights from a geoshapley framework9
Customizable process design for collaborative geographic analysis9
DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images9
An effective corn and soybean mapping model integrating phenological and biophysical information based on seasonal median composite satellite imagery9
Increasing control of vapor pressure deficit on the end of the growing season in boreal forest9
ResWLI: a new method to retrieve water levels in coastal zones by integrating optical remote sensing and deep learning9
Fluctuating restoration of Suaeda species in Coastal China: remote sensing-based spatiotemporal patterns and underlying drivers9
Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series9
Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery8
Dual-pixel collaboration scheme for enhanced physics-based bathymetry from single multispectral imagery8
Mapping nationwide 1 Km hourly human mobility (2022–2024) across South Korea using multi-source data8
Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements8
Decadal changes in freeze-thaw dynamics over the Tibetan Plateau as observed by passive microwave sensors since 19798
Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes8
Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches8
Detection of Arctic sea fog using FY-3D/MERSI-II multispectral imagery during the summer8
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data8
Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data8
Unmasking spatio-temporal variability of the kerguelen archipelago: radiometric landscapes as new proxies8
Mapping urban functional zones with remote sensing and geospatial big data: a systematic review8
The potential of Sentinel-1 time series for large-scale assessment of maize and wheat phenology across Germany8
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach8
How 2D/3D urban form shapes land surface temperature: a comparative analysis across four South Asian cities8
A multivariate hierarchical regionalization method to discovering spatiotemporal patterns8
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)8
Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau8
Bathymetry-guided multi-source remote sensing image domain adaptive coral reef benthic habitat classification8
Large-scale monitoring of inland water surface levels with GEDI data: an operational cloud-based approach in Google Earth Engine7
Improving the accuracy of the Water Detect algorithm using Sentinel-2, Planetscope and sharpened imagery: a case study in an intermittent river7
Human disturbance intensity reduces drought resistance without prolonging recovery in karst forests of southwest China7
Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations7
Modulating shrub-grassland proportion to improve ecosystem services and advance SDGs in the Alpine Basin of Central Asia7
Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model7
Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia7
Can time-series Sentinel images be used to properly identify wetland plant communities?7
AI-revealed long-term spatio-temporal characteristics of yellow sea green tides7
Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach7
Temporal behavior of major crops with SWOT Ka-band SAR observations7
Joint super-resolution and segmentation for 1-m impervious surface area mapping in China’s Yangtze river economic belt7
Large-scale expansion and localized shrinkage of cities in a major grain-producing area: empirical evidence from the Huaihe River Basin7
Recent advances in TROPOMI-based methane source detection: a systematic review7
SMN-AgroCLA: a deep learning framework with sequential midrange normalization for enhanced rice yield prediction using remote sensing data7
Spatial planning-constrained modeling of urban growth in the Yangtze River Delta considering the element flows7
Dynamic monitoring of fine-grained ecological vulnerability in dryland urban agglomeration integrating novel remote sensing index and explainable machine learning7
Simulating urban growth by coupling macro-processes and micro-dynamics: a case study on Wuhan, China7
Improving assessment of population exposure and health impacts to PM 2.5 with high spatial and temporal data7
Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images7
Mapping stone walls in Northeastern USA using deep learning and LiDAR data6
Advancing point-to-grid scale ET mapping: comparative assessment of ECOSTRESS and MODIS LST and ET across heterogeneous landscapes6
0.52569603919983