International Journal of Applied Earth Observation and Geoinformation

Papers
(The H4-Index of International Journal of Applied Earth Observation and Geoinformation is 43. 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
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar402
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning218
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation126
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information124
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes123
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development112
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map110
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]108
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds86
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps74
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification72
Disturbance history and canopy structure drive growing season albedo dynamics in boreal forests69
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas67
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes67
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds65
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching63
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics62
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification61
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata58
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations58
Identification and characterization of estuarine submesoscale fronts based on multisource high-resolution remote sensing57
Unraveling three-decade dynamics and drivers of thermokarst lakes on the Tibetan Plateau56
Contrasting trends in climatic and ecohydrological aridity over one-fifth of global drylands56
Background covariance discriminative dictionary learning for hyperspectral target detection55
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network54
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean53
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets53
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations53
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence53
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples52
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE51
Shape-preserving mesh decimation for 3D building modeling50
MaGISter-mine: A 2D and 3D web application in the service of mining industry48
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation48
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China48
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images47
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation46
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity46
Advancing green tide monitoring: a spatiotemporal analysis in the Southern Yellow Sea using a novel deep learning and remote sensing fusion approach45
Integrating aerial optical and bathymetric LiDAR data for coral reef mapping45
Application of geospatial and remote sensing data to support locust management44
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system43
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition43
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images43
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies43
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions43
EL-Mamba: An edge-aware and locally-aggregated Mamba network for building height estimation using Sentinel-1 and Sentinel-2 imagery43
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