GIScience & Remote Sensing

Papers
(The TQCC of GIScience & Remote Sensing is 12. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya84
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches72
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations64
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202059
Evaluating expressway stability using interferometric synthetic aperture radar and measuring its impact on the occurrence of geohazards: a case study of Shanxi Province, China57
Exact Voronoi diagram for topographic spatial analysis51
Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages51
Using object-based image analysis to detect laughing gull nests48
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-147
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies44
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland43
Comparing tree structures derived among airborne, terrestrial and mobile LiDAR systems in urban parks39
Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks38
A machine learning-based dynamic ensemble selection algorithm for microwave retrieval of surface soil freeze/thaw: A case study across China38
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach36
Improving the accuracy of extant gridded population maps using multisource map fusion35
Can Gross Primary Productivity Products be effectively evaluated in regions with few observation data?35
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery34
Cell-level coupling of a mechanistic model to cellular automata for improving land simulation34
Spatiotemporal patterns of planted forests on the Loess Plateau between 1986 and 2021 based on Landsat NDVI time-series analysis33
Novel model for predicting individuals’ movements in dynamic regions of interest33
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data32
Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps32
An evaluation of PlanetScope images for 3D reconstruction and change detection – experimental validations with case studies32
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods32
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study31
Objective evaluation-based efficient learning framework for hyperspectral image classification31
A deep relearning method based on the recurrent neural network for land cover classification31
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China30
Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring29
Identifying critical road sections using the weighted periodicity mined from trajectory data for efficient urban transportation29
Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data29
Strengthening of surface urban heat island effect driven primarily by urban size under rapid urbanization: national evidence from China28
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau27
Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district26
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping26
Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data26
Customizable process design for collaborative geographic analysis25
Reconstruction of a large-scale realistic three-dimensional (3-D) mountain forest scene for radiative transfer simulations25
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning24
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture24
Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒202023
Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 200023
A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering23
Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory23
Correction23
Cross attention is all you need: relational remote sensing change detection with transformer23
Home sharing or crime sharing? Evidences of the relationship between Airbnb, crime and structural factors in Malaga, Spain21
Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series21
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 method21
Inferring the heterogeneous effect of urban land use on building height with causal machine learning21
Cloud restoration of optical satellite imagery using time-series spectral similarity group20
Monitoring the Amazon River plume from satellite observations20
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach20
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model20
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years20
Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery20
An automatic rice mapping method based on an integrated time-series gradient boosting tree using GF-6 and sentinel-2 images20
Virtual image-based cloud removal for Landsat images19
Monitoring coastal aquaculture devices in Taiwan with the radio frequency identification combination system19
Generalized models for subtropical forest inventory attribute estimations using a rule-based exhaustive combination approach with airborne LiDAR-derived metrics19
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 Africa19
Impacts of the data quality of remote sensing vegetation index on gross primary productivity estimation18
High-resolution satellite video single object tracking based on thicksiam framework18
Model-driven estimation of closed and open shrublands live fuel moisture content18
Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China17
Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model17
Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches17
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach17
LiDAR-change-based mapping of sediment movement from an extreme rainfall event17
Downscaling MODIS spectral bands using deep learning16
An innovative lightweight 1D-CNN model for efficient monitoring of large-scale forest composition: a case study of Heilongjiang Province, China16
Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril16
Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging16
Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data16
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests15
Land cover change detection in the Aralkum with multi-source satellite datasets15
Maximum height of mountain forests abruptly decreases above an elevation breakpoint15
Quantifying understory vegetation density using multi-temporal Sentinel-2 and GEDI LiDAR data15
Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model15
The impact of indicator selection on assessment of global greening15
A hybrid integrated deep learning model for predicting various air pollutants14
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection14
A comparison of three ways to assemble wall-to-wall maps from distribution models of vegetation types14
The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Tor14
Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta14
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images14
A new type of dual-scale neighborhood based on vectorization for cellular automata models14
Differentiating effects of salvage logging and recovery patterns on post-fire boreal forests in Northeast China using a modified forest disturbance index13
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area13
Detecting peatland vegetation patterns with multi-temporal field spectroscopy13
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network13
Critical role of temporal contexts in evaluating urban cellular automata models13
Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks13
Topographic effects amplify forest disturbances detected by yearly wide-time-window Landsat time series13
Comprehensive analysis of GEO-KOMPSAT-2A and FengYun satellite-based precipitation estimates across Northeast Asia13
Mapping lava flow from the Kilauea eruption of 2018 in the east rift zone using space-based synthetic aperture radar13
Mapping urban functional zones with remote sensing and geospatial big data: a systematic review12
Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data12
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data12
Analysis of the relationship between L-band SAR backscatter and understory weed density in eucalyptus plantation forests12
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands12
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal12
Identifying the spatio-temporal distribution characteristics of offshore wind turbines in China from Sentinel-1 imagery using deep learning12
Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data12
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing12
Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation12
Embedded physical constraints in machine learning to enhance vegetation phenology prediction12
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