GIScience & Remote Sensing

Papers
(The H4-Index of GIScience & Remote Sensing is 26. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data318
Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing101
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland85
Application of machine learning techniques in groundwater potential mapping along the west coast of India63
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors54
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach47
A comparative analysis of trajectory similarity measures47
Use of Local Climate Zones to investigate surface urban heat islands in Texas45
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery45
Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique39
Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran39
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements38
A review of building detection from very high resolution optical remote sensing images37
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities35
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning35
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up33
Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method33
Multi-source spatial data-based invasion risk modeling of Striga (Striga asiatica) in Zimbabwe31
Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change31
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping31
Improving wetland cover classification using artificial neural networks with ensemble techniques28
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia28
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets27
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems27
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review27
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment27
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency26
Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA26
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction26
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