GIScience & Remote Sensing

Papers
(The H4-Index of GIScience & Remote Sensing is 34. 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
Assessing spatiotemporal consistency of vegetation productivity indicators (SIF, GPP, NPP) in northwest China: climate and vegetation perspectives75
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 202075
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
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images66
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network66
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
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models48
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
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
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