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International Journal of Applied Earth Observations and Geoinformation
Scopus
ISSN 1569-8432 · Elsevier · 3,252 articles in the index
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Journal Article
Interpretable machine learning and uncertainty quantification for high-precision fractional vegetation cover inversion across scales in alpine grasslands
Fractional Vegetation Cover (FVC) is a critical indicator for grassland monitoring and ecological assessment, playing a vital role in advancing ecological sustainability research. However, high-resolution FVC inversion faces two persistent challenges: (1) unquantified uncertainty arising from…
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Journal Article
Widespread biophysical cooling effects due to post-fire greening
Wildfires and greening are two important biophysical processes that influence land surface-climate feedback patterns. However, the impact of post-fire greening, which primarily reflects canopy structural recovery, on land surface temperature (LST) remains uncertain, particularly at the daily scale…
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Journal Article
Fine-scale population spatialization with accumulable features from street view imagery and points of interest
Population spatialization serves as a pivotal technique for delineating the geographical distribution patterns of human populations, which is essential for urban planning and the optimal allocation of public resources. Most existing studies rely on the density of points of interest (POI) but often…
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Journal Article
Mountains of error: UAV LiDAR benchmarking of GEDI and GEDI-derived global canopy height products in steep Himalayan forests
Accurate canopy-height information in steep mountain forests is essential for biomass estimation, habitat characterization, and monitoring climate-sensitive ecotones, yet the reliability of spaceborne LiDAR height products in rugged terrain remains poorly constrained. Here we benchmarked Global…
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Journal Article
ESCAPE: An ensemble-based self-calibrated autoencoder with physics-informed estimation of high-resolution soil moisture and surface roughness from ALOS-2/PALSAR-2 polarimetric observations
Soil moisture (SM) is a key variable governing land–atmosphere interactions and terrestrial hydrological processes. Recent satellite missions provide global SM observations, among which ALOS-2/PALSAR-2 offers full polarimetric L-band SAR measurements at spatial resolutions as fine as 6 m…
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Journal Article
A remote sensing image road extraction algorithm assisted by multidimensional features with oriented coordinate attention
Accurate road extraction from remote sensing imagery is vital for urban planning and intelligent transportation. However, its accuracy is often limited by complex backgrounds, spectral ambiguity, and diverse road shapes. Recent deep learning methods have made strong progress, including…
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Journal Article
A standardized approach to map spatially explicit crop rotations at regional scale
Current U.S. crop rotation data lacks adequate spatial coverage, resolution, and explicitness, all crucial for effective and sustainable agricultural planning. This study presents a standardized framework combining data-driven techniques with expert insights and satellite-based crop maps to…
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Journal Article
First validation of the Lightning Imager aboard Meteosat Third Generation satellite with Earth Networks Total Lightning Network
The Meteosat Third Generation Lightning Imager (MTG-LI), launched aboard the MTG-Imager-1 satellite, is the first geostationary optical lightning sensor to cover Europe and Africa while also covering parts of South America. It enables continuous monitoring of total lightning (both intra-cloud (IC)…
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Journal Article
Tree-level inversion of leaf chlorophyll content from UAV imagery using a 3D model-based visual factor correction method for adjacency scattering effect
For tree-level inversion of leaf chlorophyll content (LCC) from UAV imagery, the adjacency scattering effect of individual trees can affect the reflectance of the specific tree crown, thereby increasing the uncertainty and difficulty of LCC inversion. In this study, a novel visual factor (VF)…
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Journal Article
DeVCL: An end-to-end degradation-aware framework for vehicle counting and localization in satellite imagery
Vehicle counting and localization using high-resolution satellite imagery have recently demonstrated substantial value in urban management and public services. However, satellite images routinely suffer from degradation issues, including blurring, insufficient resolution, noise, uneven…
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Journal Article
How coal mining sites respond to extreme rainfall: Deep-learning-enhanced InSAR observations across the 2021 Henan 7.20 extreme rainfall
Coal mining-induced subsidence poses environmental hazards, particularly when interacting with extreme rainfalls that trigger flooding and hydrogeological imbalances. InSAR enables monitoring of mining-induced deformation, but its application across extreme rainfall remains limited, constraining…
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Journal Article
CA-BAFormer: Unstructured burned area mapping via semantic connectivity-aware scheme using uni-temporal multi-spectral imagery
The timely and accurate delineation of wildfire-affected regions is critical for effective post-disaster management, strategic planning, and operational response. This paper introduces CA-BAFormer, a connectivity-aware Transformer-based model designed for burned area mapping using uni-temporal…
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Journal Article
Multi-field Coupling Early Warning of Climate-induced Cascading Landslide Hazards: The Likan Landslides in the Upper Yellow River, China
Under a sustained warming climate, reservoir‐area landslides exhibit increasingly complex, non-linear interactions. The cascade “climate or seasonal variability-soil rheology-vegetation response/feedback-impulse-wave risk” constitutes an emerging safety threat in alpine gorge reservoirs; yet how…
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Journal Article
Spatiotemporal dynamics of flood susceptibility under future precipitation variability, population growth, and land cover change
Flood risk in mountainous regions is expected to intensify under the compounding effects of climate change, population growth, and land cover changes. However, there is limited understanding of how these interacting factors will shape future flood risk, particularly in the transboundary and…
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Journal Article
Differential land deformation patterns and response mechanism to groundwater recovery in the Beijing-Tianjin-Hebei Plain revealed by reconstructing and clustering of TS-InSAR observations
The Beijing-Tianjin-Hebei (BTH) Plain in north China has experienced significant land subsidence due to long-term groundwater overexploitation. Although water diversion project and climate change have improved groundwater conditions overall, the spatiotemporal heterogeneity in land deformation…
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Journal Article
Assessing the impact of road on sensitivity of large slow-moving landslides to precipitation by integrating multi-temporal InSAR and panel regression
Human-landscape interactions in mountainous terrains are complex and multi-faceted. Settlements tend to focus on relatively gently undulating terrains, which are often found in areas where ground conditions are weak and thus substantial ground movements prevail. Interventions in these precarious…
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Journal Article
GeoAgentic-RAG: A Multi-Agent framework for autonomous geospatial reasoning and visual insight generation with LLM
Conventional Retrieval-Augmented Generation (RAG) systems have limited effectiveness in geospatial question answering because text-based similarity retrieval cannot adequately represent spatial semantics such as topology and spatial context. To overcome this limitation, we propose GeoAgentic-RAG, a…
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Journal Article
Individual sapling-level leaf chlorophyll content estimation in Ginkgo biloba with weed background: A novel deep-learning approach coupling APUNet-YOLO with PROSAIL-DNN
Accurate estimation of chlorophyll content helps understand the physiological health of saplings. Traditional field measurement methods limit large-scale applications, while remote sensing monitoring methods, though improving efficiency, still face challenges in data analysis and processing. A key…
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Journal Article
Automatic alignment of semantic building models with digital city models through multi-level point cloud semantic segmentation and registration using PSO optimization: A case study of the TUM main campus
Multi-scale Digital Twins (DTs) of the built environment provide valuable spatial and semantic insights into city assets, supporting urban management, sustainability, and mobility. However, aligning semantic building models with large-scale digital city models remains a significant challenge due to…
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