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Geo-spatial Information Science, Pp 1-14 (2026)
ISSN 1993-5153 · Taylor & Francis Group · 725 artikel di indeks
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Artikel Jurnal
Fusion of the sar multisource datasets for afforestation monitoring of Siberian boreal forest
This paper presents and validates a remote sensing methodology for afforestation and reforestation monitoring. This methodology is based on an integrated analysis of modern radar datasets, including interferometric data from the Alaska SAR Facility (ASF) and others. The study area is located in…
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Artikel Jurnal
Defensive performance evaluation methods of BDS-3 space segment oriented toward satellite navigation countermeasures
The electromagnetic environment is constantly changing. Compared to user-segment defense, the spatial satellite constellation, which is the core of the global navigation satellite system (GNSS), faces more complex threat sources and dynamic jamming scenarios. There is an urgent need for research on…
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Artikel Jurnal
Contextual interaction siamese network for few-shot hyperspectral image classification
In recent years, Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have achieved significant progress in Hyperspectral Image (HSI) classification. However, in practical applications, the high cost of sample annotation and the limited availability of training samples lead to…
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Artikel Jurnal
Physics-guided multi-branch deep network for footprint localization in full-waveform spaceborne laser altimetry
Real-time processing capability is a key enabler for the next generation of intelligent satellites. Full-waveform spaceborne laser altimetry has become an indispensable tool in a wide range of scientific and engineering applications, including terrain mapping, biomass estimation, and Earth system…
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Artikel Jurnal
A comprehensive framework for large-scale all-weather land surface temperature generation by fusing satellite and simulated data
Thermal infrared remote sensing retrieval is a unique way to acquire large-scale and high-precision land surface temperature (LST), but is often affected by clouds and fog, leading to noticeable spatial gaps. In this article, to address this limitation, we propose a comprehensive framework that…
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Artikel Jurnal
SAFE: sensitive annotation finding and extraction from multi-type Chinese maps via hybrid intelligence and knowledge graph
Sensitive annotations typically contain key geographic elements or sensitive information vital for geographic information security. Considering the challenges of processing multi-type Chinese maps (e.g. topographic, administrative, and web maps), such as the scarcity of training samples for…
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Artikel Jurnal
Automatic alignment- and correction-based building labeling method for intelligent dataset updating
A large-capacity and high-quality building extraction dataset is the basis for intelligently extracting buildings from large-scale heterogeneous images. A deep learning-based automatic building alignment and correction model is proposed to address the difficulty of updating building extraction…
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Artikel Jurnal
Hyper-frequency extra-wide-lane RTK over long baselines: models, advantages, and performances
Extra-wide-lane real-time kinematic (ERTK) is a technique that makes full use of extra-wide-lane (EWL) observations to realize instantaneous precise positioning. Beyond the previous study by using triple-frequency signals, the hexa- and penta-frequency signals, referred to as hyper-frequency…
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An efficient Earth’s surface anomaly detection framework via geo-adaptive partition and spatio-temporal constraints
Anomaly detection on the Earth’s surface plays a pivotal role in understanding dynamic environmental changes, detecting natural disasters, and supporting timely decision-making. While remote sensing imagery has been widely adopted for such tasks, existing methods often suffer from limited…
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Studying geodesy and geoinformatics - a German university perspective
This paper describes the discipline of geodesy and geoinformatics with a focus on university studies and career opportunities. It is shown how the discipline contributes to the solutions of major societal challenges such as sustainable development, mobility, and global change. Then, the structure…
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Artikel Jurnal
Tortho-Gaussian: splatting true digital orthophoto maps
True Digital Orthophoto Maps (TDOMs) are essential products for digital twins and Geographic Information Systems (GIS). Traditionally, TDOM generation involves a complex photogrammetric pipeline, which may deteriorate due to various challenges, including inaccurate Digital Surface Model (DSM)…
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Artikel Jurnal
Matching of multi-source InSAR point clouds for elevation reconstruction and deformation monitoring
Frequent human activity associated with rapid urbanization may lead to land subsidence and instability of buildings. High-resolution synthetic aperture radar (SAR) interferometry plays a significant role in urban monitoring. However, single-track interferometric synthetic aperture radar (InSAR)…
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Artikel Jurnal
Monitoring vegetation restoration on potentially contaminated mining land using a novel multi-source data fusion method
Accurately mapping and monitoring of vegetation restoration area on potentially contaminated mining land (PCML) is crucial for evaluating ecological recovery from mining-related pollution. However, the types and patterns of PCML’s vegetation restoration area (PCML-VRA) remain unclear at large…
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Artikel Jurnal
Timber cruising data-driven forest biomass estimation model for airborne LiDAR point cloud
Airborne laser scanning (ALS) is a dependable and precise source for aboveground biomass (AGB) mapping. The area-based approach (ABA) utilizes statistical relationships between field-measured AGB and LiDAR-derived parameters to generate geospatial AGB representations at grid-cell scales. However…
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Artikel Jurnal
Self-supervised rotation-invariant descriptors for heterogeneous remote sensing image matching
We propose self-supervised rotation-invariant descriptors based on mixed rotation-equivariant convolutional neural networks (CNNs) (MRDes) for heterogeneous remote sensing image matching between visible (VIS) and near-infrared (NIR) images. Existing methods struggle with large rotation variations…
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Artikel Jurnal
Effect of environmental factors on solar-induced chlorophyll fluorescence across typical tree species in the Giant Panda National Park
The giant panda (Ailuropoda melanoleuca) is a unique species for biodiversity conservation in China. The establishment of the Giant Panda National Park (GPNP) holds significant ecological value. Monitoring the photosynthetic performance of dominant vegetation and their responses to environmental…
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Artikel Jurnal
A new satellite selection criterion and strategy based on near real-time accuracy
With the continuous development and improvement of global navigation satellite systems (GNSS), over a hundred navigation satellites now provide precise and reliable positioning services to various types of users. Most existing satellite selection methods adopt geometric dilution of precision (GDOP)…
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Artikel Jurnal
A GF-based multi-source multi-temporal satellite benchmark for binocular disparity estimation
As the cost of small satellites decreases annually and their performance improves, hundreds of high-resolution satellites are now in orbit. This has increased the demand for satellite stereo processing toward detailed observations of the Earth. However, satellites are limited by their orbit, making…
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Artikel Jurnal
Fusion of UAV hyperspectral and satellite multispectral data for quasi-hyperspectral data simulation and wetland land cover classification
Accurate wetland classification demands high spectral detail and large-area coverage – capabilities that neither satellite multispectral data (limited spectral resolution) nor unmanned aerial vehicle (UAV) hyperspectral data (limited spatial coverage) can provide simultaneously. To alleviate this…
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Artikel Jurnal
Refined ship interpretation in compact polarimetric SAR via formalism and joint feature space construction
The two-channel cost of Compact Polarimetric (CP) Synthetic Aperture Radar (SAR) with close performance compared to four-channel Full Polarimetric (FP) SAR, has great potential for observing and interpreting ship targets. In the existing literature of ship targets using CP SAR data, the ships are…