International Journal of Applied Earth Observation and Geoinformation

Papers
(The H4-Index of International Journal of Applied Earth Observation and Geoinformation is 29. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A review on deep learning in UAV remote sensing142
Deep learning in multimodal remote sensing data fusion: A comprehensive review121
High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques55
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing54
ADS-Net:An Attention-Based deeply supervised network for remote sensing image change detection53
Object detection from UAV thermal infrared images and videos using YOLO models50
A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping50
DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images49
Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review49
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer47
A review of spatially-explicit GeoAI applications in Urban Geography46
Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method45
Integrating remote sensing and geospatial big data for urban land use mapping: A review40
SUACDNet: Attentional change detection network based on siamese U-shaped structure39
Road extraction in remote sensing data: A survey39
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery38
Digital twin of a city: Review of technology serving city needs36
MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification36
Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities35
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images35
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks33
Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN33
Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space33
Global fuel moisture content mapping from MODIS31
Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives30
Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network30
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks29
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield29
Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm29
Super-resolution of subsurface temperature field from remote sensing observations based on machine learning29
The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot29
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