ACCURACY DIMENSIONS IN REMOTE SENSING

29 citations as recorded by crossref.

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15. Evaluation of the Ability of SLSTR (Sentinel-3B) and MODIS (Terra) Images to Detect Burned Areas Using Spatial-Temporal Attributes and SVM Classification J. da Silva Junior et al. 10.3390/f14010032
16. A New and Robust Index for Water Body Extraction from Sentinel-2 Imagery Z. Su et al. 10.3390/rs16152749
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18. Mapping Buildings from Semi-Informal Settlements Using Non-Parametric Classifiers: A Case of Old Naledi W. Mpoeleng et al. 10.54203/jceu.2024.14
19. Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST V. Louis et al. 10.3390/rs16020284
20. Unraveling boreal forest composition and drivers across scales in eastern Siberia L. Enguehard et al. 10.1088/1748-9326/ad5742
21. Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria D. Hermle et al. 10.5194/nhess-21-2753-2021
22. Toward Data-Driven Mineral Prospectivity Mapping from Remote Sensing Data Using Deep Forest Predictive Model A. Mohamed Taha et al. 10.1007/s11053-024-10387-5
23. Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al. 10.3390/rs14030455
24. Reconstructing Digital Terrain Models from ArcticDEM and WorldView-2 Imagery in Livengood, Alaska T. Zhang & D. Liu 10.3390/rs15082061
25. Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. 10.3390/w15234034
26. Crop type mapping by using transfer learning A. Nowakowski et al. 10.1016/j.jag.2021.102313
27. RID—Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment S. Krapf et al. 10.3390/rs14102299
28. Accuracy comparison of various remote sensing data in lithological classification based on random forest algorithm Y. Xi et al. 10.1080/10106049.2022.2088859
29. A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes L. Song et al. 10.1016/j.jag.2022.103152