Landform classification through downscaling approaches for the Bislak, Laoag and Abra Rivers, the Philippines

Li, Q., Williams, R. , Hoey, T., Barrett, B. and Boothroyd, R. (2022) Landform classification through downscaling approaches for the Bislak, Laoag and Abra Rivers, the Philippines. [Data Collection]

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Collection description

This dataset contains landform classification maps for the Bislak (16/01/2017), Laoag (10/07/2018) and Abra (21/11/2019) Rivers in northwest Luzon, the Philippines. River landforms (water, vegetated bars, unvegetated bars) were classified using the SVM machine learning model established on Sentinel-2 Level 2A data. The classification training/testing dataset have been enveloped in LibSVM format (.txt) for reading and processing in Python 3.7 using Scikit-Learn Tools. In addition to the landform classification maps, the dataset includes rasters (.tif) from three downscaling approaches (area-to-point regression kriging, nearest neighbour resampling and super-resolution method) and their associated image segmentation shapefiles (.shp) for the Bislak River on 1 January 2018. The area-to-point regression kriging (ATPRK) method was processed using codes developed by Wang et al (2016). The nearest neighbour resampling downscaling images were generated in SNAP software. The super-resolution downscaling images were obtained using the Sen2Res plugin in SNAP software.

College / School: College of Science and Engineering > School of Geographical and Earth Sciences
Date Deposited: 26 Oct 2022 12:23
URI: http://researchdata.gla.ac.uk/id/eprint/1355

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Li, Q., Williams, R. , Hoey, T., Barrett, B. and Boothroyd, R. (2022); Landform classification through downscaling approaches for the Bislak, Laoag and Abra Rivers, the Philippines

University of Glasgow

DOI: 10.5525/gla.researchdata.1355

Retrieved: 2023-02-05

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