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 2022-08-01 to 2026-08-01.)
ArticleCitations
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 2020140
An integrated evaluation for SWOT KaRIn Level-2 significant wave height product105
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach101
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study99
A systematic assessment of provincial-level synergy between air pollution control and carbon mitigation in China97
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years88
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model88
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach87
Assessing spatiotemporal consistency of vegetation productivity indicators (SIF, GPP, NPP) in northwest China: climate and vegetation perspectives86
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies85
Integrating local spatial outliers into context-aware spatial prediction models69
The hidden economic costs of air pollution in China: evidence from remotely sensed nighttime light data63
Improved estimation of daily surface all-wave net radiation from FY3D MERSI-II data based on pseudo-label learning61
QeRSIF: a quality-enhanced red solar-induced chlorophyll fluorescence dataset for TROPOMI satellite60
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing58
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection56
Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness55
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 productiv54
CRUHI-Mamba: a Mamba-based underwater hyperspectral image classification framework for coral reef benthic mapping50
Cloud removal from multi-temporal imagery via spectral‒temporal‒spatial information progressive integration and cross-scale cascade optimization47
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images45
Development of a global 1 km phenology dataset (1982–2018) utilizing the spatiotemporal fusion of MODIS and AVHRR data44
Embedded physical constraints in machine learning to enhance vegetation phenology prediction44
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States43
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods41
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters39
Application of deep learning in cloud cover prediction using geostationary satellite images37
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach37
MSNet: multispectral semantic segmentation network for remote sensing images37
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models37
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario36
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine36
Dual generative adversarial networks for merging ocean transparency from satellite observations36
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery35
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation34
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series34
Improved maize mapping using multi-source data fusion coupled with height-spectral Gaussian mixture modeling34
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 artifi34
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