GIScience & Remote Sensing

Papers
(The TQCC of GIScience & Remote Sensing is 14. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202099
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years91
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery83
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study76
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach74
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach69
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya60
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model59
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies56
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images55
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters52
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network52
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing47
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection44
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States43
Land cover change detection in the Aralkum with multi-source satellite datasets43
A hybrid integrated deep learning model for predicting various air pollutants43
Embedded physical constraints in machine learning to enhance vegetation phenology prediction43
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods42
A review of building detection from very high resolution optical remote sensing images41
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China41
Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan40
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models40
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach40
An improved change detection method for high-resolution soil moisture mapping in permafrost regions39
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation39
An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable39
Application of deep learning in cloud cover prediction using geostationary satellite images38
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 artifi37
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery37
Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery36
Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns34
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images33
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series32
Dual generative adversarial networks for merging ocean transparency from satellite observations32
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario32
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine32
MSNet: multispectral semantic segmentation network for remote sensing images31
Monitoring ecological and environmental stress patterns over the past two decades in the Mekong River basin31
Spatio-temporal variability of surface temperatures in High Arctic periglacial environment using UAV thermal imagery and in-situ measurements30
Satellite A-DInSAR pattern recognition for seismic vulnerability mapping at city scale: insights from the L’Aquila (Italy) case study29
In situ hyperspectral characteristics and the discriminative ability of remote sensing to coral species in the South China Sea28
Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–201728
Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing28
Spatiotemporal wave propagation of the shale oil and gas development in the Marcellus Shale in the past one century and a half28
An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud28
Dynamic variations in thermal regime and surface deformation along the drainage channel for an expanding lake on the Tibetan Plateau27
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods27
Global crop calendars of maize and wheat in the framework of the WorldCereal project26
Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model26
Using remote sensing for exposure and seismic vulnerability evaluation: is it reliable?26
Recent trends in the timing of the growing season in New Zealand’s natural and semi-natural grasslands26
Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation26
Phenology-based cropland retirement remote sensing model: a case study in Yan’an, Loess Plateau, China25
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction25
Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways24
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms24
Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations24
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities24
A novel landslide susceptibility prediction framework based on contrastive loss24
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
Analyzing spatial variability of drivers of coastal wetland loss in the northern Gulf of Mexico using Bayesian multi-level models23
Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping23
A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 202023
An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster22
Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands22
An advanced coverage estimation method to quantify biological soil crust coverage using Sentinel-2 imagery in desert and sandy land of China22
Assessing the relative contribution of climate change and human activity factors to spatiotemporal distributions of sand fixation service in the Loess Plateau21
Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery21
Decreasing trend of kuroshio intrusion and its effect on the chlorophyll-a concentration in the Luzon Strait, South China Sea21
Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery21
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
Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method20
Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time20
An interpretable physics-informed deep learning model for estimating multiple air pollutants20
Coastline extraction using remote sensing: a review20
A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems20
A phenomenology-based algorithm for extracting submerged aquatic vegetation in lakes using Sentinel-2 time seriesImagery: a case study of Potamogeton crispus19
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-119
Enhancing urban resilience through Tomo-PSInSAR-based structural health monitoring19
Correction18
Exact Voronoi diagram for topographic spatial analysis18
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning18
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland18
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China17
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau17
Spatiotemporal dynamics of urban sprawl in China from 2000 to 202017
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture17
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
A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset17
An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR data16
MapSAM: adapting segment anything model for automated feature detection in historical maps16
Intra-annual land cover mapping and dynamics analysis with dense satellite image time series: a spatiotemporal cube based spatiotemporal contextual method16
Two-tier classification framework for mapping grassland types using multisource earth observation data15
Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks15
Contribution of anthropogenic consolidation processes to subsidence phenomena from multi-temporal DInSAR: a GIS-based approach15
Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China15
Multi-source point cloud registration for urban areas using a coarse-to-fine approach15
Detecting annual anthropogenic encroachment on intertidal vegetation using full Landsat time-series in Fujian, China15
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction15
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA15
Exploring the effects of partitioned transition rules upon urban growth simulation in a megacity region: a comparative study of cellular automata-based models in the Greater Wuhan Area14
Spatial disparities in trade-offs: economic and environmental impacts of road infrastructure on continental level14
Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making14
Collaborative multiple change detection methods for monitoring the spatio-temporal dynamics of mangroves in Beibu Gulf, China14
Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images14
A 3-dimension urban growth analysis using local climate zone mapping14
For-backward LSTM-based missing data reconstruction for time-series Landsat images14
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction14
Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands14
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images14
Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data14
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