UPDATES OF ‘AW3D30’ ALOS GLOBAL DIGITAL SURFACE MODEL IN ANTARCTICA WITH OTHER OPEN ACCESS DATASETS

26 citations as recorded by crossref.

1. ACCURACY OF SUBSIDENCE MEASUREMENT BY PSINSAR ANALYSIS USING SENTINEL-1 SAR DATA—A CASE STUDY OF SUBSIDENCE MEASUREMENT IN CHIBA PREFECTURE, JAPAN FROM 2107 TO 2024— H. ABO & T. OSAWA https://doi.org/10.2208/jscejj.24-00252
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3. Towards more consistent volcano morphometry datasets: Assessing boundary delineation and DEM impact on geometric and drainage parameters R. van Wees et al. https://doi.org/10.1016/j.geomorph.2024.109381
4. A General Framework of Remote Sensing Epipolar Image Generation X. Wang et al. https://doi.org/10.3390/rs13224539
5. The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications C. Zhao & C. Qin https://doi.org/10.3390/rs13152909
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7. Steep-Terrain-Referenced Multilayer Analysis Reveals Vertically Decaying Thermal Anomalies Preceding Large Earthquakes W. Mao & Y. Qi https://doi.org/10.1109/LGRS.2026.3657672
8. Error-Reduced Digital Elevation Model of the Qinghai-Tibet Plateau using ICESat-2 and Fusion Model X. Zhang et al. https://doi.org/10.1038/s41597-024-03428-4
9. DISPLACEMENT MEASUREMENT CAPABILITY AND ACCURACY USING PSInSAR ANALYSIS WITH Sentinel-1 AND ALOS-2 SAR DATA ―A CASE STUDY OF DISPLACEMENT MEASUREMENT AROUND OSAKA BAY FROM JANUARY 2017 TO MARCH 2025― H. ABO & T. OSAWA https://doi.org/10.2208/jscejj.25-00285
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12. An InSAR DEMs refinement framework integrating random forest with multi-source remote sensing datasets S. Zhang et al. https://doi.org/10.1016/j.asr.2025.07.053
13. Estimating Global Instantaneous Near-Surface Air Temperature from Clear-Sky Landsat 8/9 Observations Using Ensemble Machine Learning Z. Jiao & X. Mu https://doi.org/10.3390/rs18121885
14. Creation of wildfire susceptibility maps in the Mediterranean Region (Turkey) using convolutional neural networks and multilayer perceptron techniques M. Gürsoy et al. https://doi.org/10.1016/j.foreco.2023.121006
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16. Land Surface Temperature End-to-End Retrieval Considering the Topographic Effect Using Radiative Transfer Model-Driven Convolutional Neural Network X. Ye et al. https://doi.org/10.1109/TGRS.2025.3525728
17. Weakening mountain vegetation aspect asymmetry due to altered energy conditions Q. Tian & F. Tian https://doi.org/10.1038/s41558-025-02542-4
18. Rolling with the punches—How competition shapes the morphology of small passerines on small islands D. Kelly et al. https://doi.org/10.1111/jbi.14838
19. Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM) E. Uuemaa et al. https://doi.org/10.3390/rs12213482
20. Monitoring of thermal deformation of cylindrical storage facilities with DInSAR Z. Wu & P. Ellingsen https://doi.org/10.1080/2150704X.2025.2544355
21. Forest dynamics mapping in central Vietnam from 1988 to 2022 using Landsat time-series data H. Nguyen et al. https://doi.org/10.1088/1748-9326/ade0d2
22. Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
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24. Integrating Sentinel-1/2 Imagery and Climate Reanalysis for Monthly Bare Soil Mapping and Wind Erosion Modeling in Shandong Province, China A. Liu & Y. Chen https://doi.org/10.3390/rs17193298
25. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions K. Mehmood et al. https://doi.org/10.1016/j.tfp.2024.100657
26. Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye Z. Ayalke & A. Şişman https://doi.org/10.26833/ijeg.1870242