International Journal of Applied Earth Observation and Geoinformation

Papers
(The H4-Index of International Journal of Applied Earth Observation and Geoinformation is 40. 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 2021-11-01 to 2025-11-01.)
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]282
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory132
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations126
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China98
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds96
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests93
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar89
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition81
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets78
Application of geospatial and remote sensing data to support locust management76
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature75
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations74
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning71
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa70
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps65
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples64
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics61
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models52
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification52
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data51
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system47
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation47
Background covariance discriminative dictionary learning for hyperspectral target detection46
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas46
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning45
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity45
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation44
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation44
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements44
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information44
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment44
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images43
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification43
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping43
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion43
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting43
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification43
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching42
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes41
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation40
0.52767395973206