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 2022-01-01 to 2026-01-01.)
ArticleCitations
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya121
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach92
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years92
The hidden economic costs of air pollution in China: evidence from remotely sensed nighttime light data85
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study77
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202075
Assessing spatiotemporal consistency of vegetation productivity indicators (SIF, GPP, NPP) in northwest China: climate and vegetation perspectives75
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies71
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model69
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach68
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network66
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images66
Embedded physical constraints in machine learning to enhance vegetation phenology prediction63
Development of a global 1 km phenology dataset (1982–2018) utilizing the spatiotemporal fusion of MODIS and AVHRR data60
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing55
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection53
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters51
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 productiv50
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States49
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods48
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery48
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models48
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series47
Monitoring active fires in Borneo from Sentinel-2 MSI images47
Application of deep learning in cloud cover prediction using geostationary satellite images47
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 artifi45
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine43
Dual generative adversarial networks for merging ocean transparency from satellite observations41
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach41
Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery41
An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable36
A review of building detection from very high resolution optical remote sensing images36
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario36
Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns34
MSNet: multispectral semantic segmentation network for remote sensing images34
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China33
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation33
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images33
An improved change detection method for high-resolution soil moisture mapping in permafrost regions32
Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–201731
Satellite A-DInSAR pattern recognition for seismic vulnerability mapping at city scale: insights from the L’Aquila (Italy) case study31
In situ hyperspectral characteristics and the discriminative ability of remote sensing to coral species in the South China Sea30
Dynamic variations in thermal regime and surface deformation along the drainage channel for an expanding lake on the Tibetan Plateau30
Decadal analysis of sea surface temperature patterns, climatology, and anomalies in temperate coastal waters with Landsat-8 TIRS observations30
Multiscale dynamics-informed deep learning reconstruction of global ocean offshore near-surface current29
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 Hemisphere29
Scale effects of the spatiotemporal relationship between nighttime light and population activity intensity: a case study in Shanghai, China29
An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud28
Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing28
Monitoring ecological and environmental stress patterns over the past two decades in the Mekong River basin28
Spatio-temporal variability of surface temperatures in High Arctic periglacial environment using UAV thermal imagery and in-situ measurements28
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 matching27
Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model27
Using remote sensing for exposure and seismic vulnerability evaluation: is it reliable?27
Beyond the jam: field theory modeling of congestion’s ripple effects on traffic dynamics26
Global crop calendars of maize and wheat in the framework of the WorldCereal project26
A novel landslide susceptibility prediction framework based on contrastive loss26
SAR remote sensing for monitoring harmful algal blooms using deep learning models26
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 prediction25
A spatiotemporal knowledge graph for driving factor analysis and growth prediction of regional economy in China25
Localized deformation detection and prediction in wide-range urban environments25
Geometric feature-enhanced reconstruction and refinement of photogrammetric mesh models in man-made environments25
MDA-RSM: multi-directional adaptive remote sensing mamba for building extraction25
Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations24
Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation24
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 images24
A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems23
Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways23
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 climate23
Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery22
Assessing the relative contribution of climate change and human activity factors to spatiotemporal distributions of sand fixation service in the Loess Plateau22
Decreasing trend of kuroshio intrusion and its effect on the chlorophyll-a concentration in the Luzon Strait, South China Sea22
Mapping irrigated cropland at 30 m spatial resolution in northern China over the past three decades22
Toward unsupervised building extraction from very high-resolution remote sensing images using SAM and CLIP21
Beyond flat cities: dramatic 2D/3D differences in urban gray–green space configurations and the nonlinear thermal regulation mechanisms21
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, China21
Global hourly seamless AOD through measurement-adjusted machine learning fusion of multi-satellite and reanalysis data21
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
Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method21
Exact Voronoi diagram for topographic spatial analysis20
A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 202020
Correction20
Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping20
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
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland19
Enhancing urban resilience through Tomo-PSInSAR-based structural health monitoring19
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture19
A hydrogeomorphology-informed method for mapping continuous river networks from satellite imagery19
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning19
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau19
Performance and generalizability impacts of incorporating location encoders into deep learning for dynamic PM 2.5 estimation18
A phenomenology-based algorithm for extracting submerged aquatic vegetation in lakes using Sentinel-2 time seriesImagery: a case study of Potamogeton crispus18
A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset18
Remotely sensed monitoring of coastal geomorphology: coupling satellite-derived vegetation edges with other proxy metrics18
An interpretable physics-informed deep learning model for estimating multiple air pollutants18
LMSeg: an end-to-end geometric message-passing network on barycentric dualgraphs for large-scale landscape mesh segmentation17
MapSAM: adapting segment anything model for automated feature detection in historical maps17
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China17
Addressing spatial imprecision in deep learning for satellite imagery-based socioeconomic predictions17
Mapping lava flow from the Kilauea eruption of 2018 in the east rift zone using space-based synthetic aperture radar17
Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data17
Subhourly ice surface temperature retrieval over the Larsen C Ice Shelf using geostationary satellite data and machine learning17
Retrieval of thin-ice thickness in arctic marginal seas through a combination of thermal and optical observations from polar orbiting satellites17
Spatiotemporal dynamics of urban sprawl in China from 2000 to 202017
Land surface temperature retrieval from FY-3E/MERSI using an optimized water vapor scaling method17
Identifying composite spatial patterns of China’s shrinking cities from nighttime light remote sensing16
Multi-source point cloud registration for urban areas using a coarse-to-fine approach16
KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images16
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction16
Contribution of anthropogenic consolidation processes to subsidence phenomena from multi-temporal DInSAR: a GIS-based approach16
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction16
An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR 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
Two-tier classification framework for mapping grassland types using multisource earth observation data15
Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China15
Collaborative multiple change detection methods for monitoring the spatio-temporal dynamics of mangroves in Beibu Gulf, China15
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA15
Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine14
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images14
High-spatial resolution UAV multispectral data complementing satellite imagery to characterize a chinstrap penguin colony ecosystem on deception island (Antarctica)14
Detecting annual anthropogenic encroachment on intertidal vegetation using full Landsat time-series in Fujian, China14
A 3-dimension urban growth analysis using local climate zone mapping14
Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks14
Polyline simplification using a region proposal network integrating raster and vector features14
Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images14
Modeling of spatial stratified heterogeneity13
Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data13
For-backward LSTM-based missing data reconstruction for time-series Landsat images13
Integrated framework for identifying shrinking cities using nighttime light and socioeconomic data: a case study of China13
Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making13
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling13
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery13
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data13
Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images13
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
Changes in carbon stock in the Xing’an permafrost regions in Northeast China from the late 1980s to 202013
Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data12
Coral reef applications of Landsat-8: geomorphic zonation and benthic habitat mapping of Xisha Islands, China12
A review of remote sensing in coastal aquaculture: data, geographic hotspots, methods, and challenges12
Toward multi-granularity spatiotemporal simulation modeling of crowd movement for dynamic assessment of tourist carrying capacity12
Multitemporal impervious surface estimation via an optimized stable/change pixel detection approach12
From rainforests to drylands: a context-specific framework for mapping land use and land cover dynamics in Northeast Brazil (2000–2020)12
Pumice rafts in the global ocean: a remote sensing assessment12
Trends analysis of rangeland condition monitoring assessment and projection (RCMAP) fractional component time series (1985–2020)12
Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation12
Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations12
A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine11
Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm11
Identifying climate and environmental determinants of spatial disparities in wheat production using a geospatial machine learning model11
Upscaling peatland mapping with drone-derived imagery: impact of spatial resolution and vegetation characteristics11
Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region11
Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology11
Accuracy evaluation and effect factor analysis of GEDI aboveground biomass product for temperate forests in the conterminous United States11
Integrated knowledge graph construction framework for places-of-interest retrieval using a property graph database11
MFFNet: a wavelet transform-based multimodal frequency fusion network for remote sensing semantic segmentation11
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data11
Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions11
An improved color consistency optimization method based on the reference image contaminated by clouds11
Joint retrieval of atmospheric temperature and humidity profiles using spaceborne hyperspectral microwave radiometer10
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
Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data10
An evaluation of PlanetScope images for 3D reconstruction and change detection – experimental validations with case studies10
Satellite flood detection integrating hydrogeomorphic and spectral indices10
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 method10
Urbanization’s role in shaping ornamental tree diversity: a remote sensing and future scenario-based perspective10
Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series10
DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images10
Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district10
A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China10
Mapping global urban inequality under climate change and its interaction with sustainable development10
Customizable process design for collaborative geographic analysis10
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches10
Inferring the heterogeneous effect of urban land use on building height with causal machine learning10
Novel model for predicting individuals’ movements in dynamic regions of interest9
Vegetation dynamics along an urban–rural gradient in the Yangtze River Delta: patterns, mechanisms, and scenario projections using a mixed-cell cellular automata (MCCA) framework9
Home sharing or crime sharing? Evidences of the relationship between Airbnb, crime and structural factors in Malaga, Spain9
Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements9
Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval9
Identifying critical road sections using the weighted periodicity mined from trajectory data for efficient urban transportation9
Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory9
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach9
ResWLI: a new method to retrieve water levels in coastal zones by integrating optical remote sensing and deep learning9
An effective corn and soybean mapping model integrating phenological and biophysical information based on seasonal median composite satellite imagery9
Enhancing phenological model accuracy in subtropical forests using data assimilation coupled with deep learning9
A multivariate hierarchical regionalization method to discovering spatiotemporal patterns9
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data9
Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery9
Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia8
Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau8
The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Tor8
Mapping urban functional zones with remote sensing and geospatial big data: a systematic review8
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)8
Improving assessment of population exposure and health impacts to PM 2.5 with high spatial and temporal data8
Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model8
Dynamic monitoring of fine-grained ecological vulnerability in dryland urban agglomeration integrating novel remote sensing index and explainable machine learning8
The potential of Sentinel-1 time series for large-scale assessment of maize and wheat phenology across Germany8
Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes8
High-resolution satellite video single object tracking based on thicksiam framework8
Decadal changes of Campbell Glacier Tongue in East Antarctica from 2010 to 2020 and implications of ice pinning conditions analyzed by optical and SAR datasets8
Simulating urban growth by coupling macro-processes and micro-dynamics: a case study on Wuhan, China8
Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images8
Large-scale expansion and localized shrinkage of cities in a major grain-producing area: empirical evidence from the Huaihe River Basin8
Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations8
Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches8
Comprehensive analysis of GEO-KOMPSAT-2A and FengYun satellite-based precipitation estimates across Northeast Asia8
Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data8
Spatial planning-constrained modeling of urban growth in the Yangtze River Delta considering the element flows8
Bathymetry-guided multi-source remote sensing image domain adaptive coral reef benthic habitat classification8
Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach8
Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach7
Large-scale monitoring of inland water surface levels with GEDI data: an operational cloud-based approach in Google Earth Engine7
Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate7
Mapping stone walls in Northeastern USA using deep learning and LiDAR data7
Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains7
Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction7
Earth observations reveal impacts of climate variability on maize cropping systems in sub-Saharan Africa7
A review of mangrove degradation assessment using remote sensing: advances, challenges, and opportunities7
A deep learning framework to map riverbed sand mining budgets in large tropical deltas7
Using imaging spectroscopy to assess the impacts of invasive plants on aboveground and belowground characteristics7
Comparison of high-resolution NAIP and unmanned aerial vehicle (UAV) imagery for natural vegetation communities classification using machine learning approaches7
A stand-alone framework for predicting spatiotemporal errors in satellite-based soil moisture using tree-based models and deep neural networks7
Improving the accuracy of the Water Detect algorithm using Sentinel-2, Planetscope and sharpened imagery: a case study in an intermittent river7
Airborne lidar intensity correction for mapping snow cover extent and effective grain size in mountainous terrain7
Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)7
Hybrid approach using deep learning and graph comparison for building change detection7
SMN-AgroCLA: a deep learning framework with sequential midrange normalization for enhanced rice yield prediction using remote sensing data7
Can time-series Sentinel images be used to properly identify wetland plant communities?7
Spatiotemporal coordination and imbalance between urbanization and eco-environmental quality: a global remote sensing perspective6
Impacts of land use change and vegetation greening on gross primary productivity in the Yangtze River Basin from a water-carbon coupling perspective6
Automated classification of A-DInSAR-based ground deformation by using random forest6
Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 20006
Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒20206
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics6
Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons6
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China6
High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond6
Unmixing marsh vegetation species across multiple sensors and spatial scales6
Explainable machine learning identifies anthropogenic activity as a key driver of forest fire severity in China's temperate monsoon region6
Object-based change detection for vegetation disturbance and recovery using Landsat time series6
AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve6
Integrating satellite-based passive microwave and optically sensed observations to evaluating the spatio-temporal dynamics of vegetation health in the red soil regions of southern China6
Local-aware coupled network for hyperspectral image super-resolution6
Exploration of aerosol-precipitation relationships under different climate regimes in China6
Objective evaluation-based efficient learning framework for hyperspectral image classification6
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters6
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets6
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