International Journal of Applied Earth Observation and Geoinformation

Papers
(The H4-Index of International Journal of Applied Earth Observation and Geoinformation is 42. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory359
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations184
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar120
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning112
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation107
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning102
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information96
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata96
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes76
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development65
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features64
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation63
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models58
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions58
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network55
Application of geospatial and remote sensing data to support locust management55
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system54
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images54
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map54
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification53
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images53
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection51
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements51
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples50
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets50
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]49
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China48
Background covariance discriminative dictionary learning for hyperspectral target detection48
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading47
Contrasting trends in climatic and ecohydrological aridity over one-fifth of global drylands46
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies46
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas45
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification45
Shape-preserving mesh decimation for 3D building modeling45
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images44
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean43
MaGISter-mine: A 2D and 3D web application in the service of mining industry43
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds43
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests42
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching42
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics42
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples42
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