International Journal of Applied Earth Observation and Geoinformation

Papers
(The H4-Index of International Journal of Applied Earth Observation and Geoinformation is 39. 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
Corrigendum to “Optimization of pre-hospital emergency facility layout in Nanjing: A spatiotemporal analysis using multi-Source big data” [Int. J. of Appl. Earth Obs. Geoinf. 133 (2024) 104112]313
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory152
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations150
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar104
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition99
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine94
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification87
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning84
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation80
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation67
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity62
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning58
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information57
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes56
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development52
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map50
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds49
MaGISter-mine: A 2D and 3D web application in the service of mining industry49
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features47
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification47
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading47
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests46
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics46
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery45
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system44
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning44
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer44
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching44
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images43
Shape-preserving mesh decimation for 3D building modeling43
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps43
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images43
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions42
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models41
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples40
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets40
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping40
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection39
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies39
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements39
0.36005306243896