GIScience & Remote Sensing

Papers
(The H4-Index of GIScience & Remote Sensing is 35. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya113
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies91
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
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202077
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years73
The hidden economic costs of air pollution in China: evidence from remotely sensed nighttime light data72
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach67
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model63
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach63
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing62
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection60
Land cover change detection in the Aralkum with multi-source satellite datasets59
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters58
Embedded physical constraints in machine learning to enhance vegetation phenology prediction56
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States52
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images51
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods48
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network48
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models47
Monitoring active fires in Borneo from Sentinel-2 MSI images47
Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan47
Application of deep learning in cloud cover prediction using geostationary satellite images46
Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery45
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine45
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery45
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series42
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach41
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 artifi40
MSNet: multispectral semantic segmentation network for remote sensing images39
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images39
Dual generative adversarial networks for merging ocean transparency from satellite observations38
Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns37
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario37
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation36
An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable35
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