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 2021-04-01 to 2025-04-01.)
ArticleCitations
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping96
Evaluating expressway stability using interferometric synthetic aperture radar and measuring its impact on the occurrence of geohazards: a case study of Shanxi Province, China88
Using object-based image analysis to detect laughing gull nests80
Monitoring the Amazon River plume from satellite observations73
Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data69
Identifying critical road sections using the weighted periodicity mined from trajectory data for efficient urban transportation68
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach57
Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series57
Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data54
Improving the accuracy of extant gridded population maps using multisource map fusion53
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery51
Cell-level coupling of a mechanistic model to cellular automata for improving land simulation50
An evaluation of PlanetScope images for 3D reconstruction and change detection – experimental validations with case studies45
Correction44
Cross attention is all you need: relational remote sensing change detection with transformer43
Novel model for predicting individuals’ movements in dynamic regions of interest41
An automatic rice mapping method based on an integrated time-series gradient boosting tree using GF-6 and sentinel-2 images41
A deep relearning method based on the recurrent neural network for land cover classification41
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations41
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202040
Reconstruction of a large-scale realistic three-dimensional (3-D) mountain forest scene for radiative transfer simulations40
Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory40
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland40
Inferring the heterogeneous effect of urban land use on building height with causal machine learning40
Can Gross Primary Productivity Products be effectively evaluated in regions with few observation data?39
Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒202039
A machine learning-based dynamic ensemble selection algorithm for microwave retrieval of surface soil freeze/thaw: A case study across China39
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-138
Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district37
Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps36
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study35
A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering33
Cloud restoration of optical satellite imagery using time-series spectral similarity group32
Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery31
Spatiotemporal patterns of planted forests on the Loess Plateau between 1986 and 2021 based on Landsat NDVI time-series analysis31
Exact Voronoi diagram for topographic spatial analysis31
Home sharing or crime sharing? Evidences of the relationship between Airbnb, crime and structural factors in Malaga, Spain31
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies30
Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 200029
Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring29
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning29
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years29
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 method27
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches27
Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data26
Objective evaluation-based efficient learning framework for hyperspectral image classification26
Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks26
Strengthening of surface urban heat island effect driven primarily by urban size under rapid urbanization: national evidence from China26
Customizable process design for collaborative geographic analysis26
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya26
Enhancing urban resilience through Tomo-PSInSAR-based structural health monitoring25
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods25
A phenomenology-based algorithm for extracting submerged aquatic vegetation in lakes using Sentinel-2 time seriesImagery: a case study of Potamogeton crispus25
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau25
An interpretable physics-informed deep learning model for estimating multiple air pollutants24
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model23
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach23
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture22
Comparing tree structures derived among airborne, terrestrial and mobile LiDAR systems in urban parks22
Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages22
Framework for timely perception of spatiotemporal crowd congestion risk in public spaces based on video pedestrian tracking and geographic mapping21
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data21
Generalized models for subtropical forest inventory attribute estimations using a rule-based exhaustive combination approach with airborne LiDAR-derived metrics21
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China21
Comparison of the capability and performance of “photosynthesis” and “structure” indices in retrieving vegetation phenology in the Northern Hemisphere20
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests20
Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model20
Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval20
Modeling the geographic spread and proliferation of invasive alien plants (IAPs) into new ecosystems using multi-source data and multiple predictive models in the Heuningnes catchment, South Africa20
LiDAR-change-based mapping of sediment movement from an extreme rainfall event20
A comparison of three ways to assemble wall-to-wall maps from distribution models of vegetation types19
Critical role of temporal contexts in evaluating urban cellular automata models19
Land cover change detection in the Aralkum with multi-source satellite datasets19
Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data19
Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging19
A hybrid integrated deep learning model for predicting various air pollutants19
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal18
Spatiotemporal dynamics of urban sprawl in China from 2000 to 202018
Identifying the spatio-temporal distribution characteristics of offshore wind turbines in China from Sentinel-1 imagery using deep learning18
Detecting peatland vegetation patterns with multi-temporal field spectroscopy18
Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation18
Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery18
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods17
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China17
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery17
Analysis of the relationship between L-band SAR backscatter and understory weed density in eucalyptus plantation forests17
Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data16
Virtual image-based cloud removal for Landsat images16
Model-driven estimation of closed and open shrublands live fuel moisture content16
Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China16
Downscaling MODIS spectral bands using deep learning16
Impacts of the data quality of remote sensing vegetation index on gross primary productivity estimation15
Mapping urban functional zones with remote sensing and geospatial big data: a systematic review15
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data15
Differentiating effects of salvage logging and recovery patterns on post-fire boreal forests in Northeast China using a modified forest disturbance index15
Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data15
Embedded physical constraints in machine learning to enhance vegetation phenology prediction15
A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept15
Topographic effects amplify forest disturbances detected by yearly wide-time-window Landsat time series15
High-resolution satellite video single object tracking based on thicksiam framework15
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)14
Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks14
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands14
Reconstruction of spatially continuous time-series land subsidence based on PS-InSAR and improved MLS-SVR in Beijing Plain area14
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images14
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection14
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area14
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