Preprocessed Time-Series Synthetic Aperture Radar (SAR) Images (November 2016 to March 2018) of Four Municipalities in Tarlac Province, Philippines
Description
Preprocessed Time-Series Synthetic Aperture Radar (SAR) Images (November 2016 to March 2018) of Four Municipalities in Tarlac Province, Philippines This data catalog contains analysis-ready time-series synthetic aperture radar (SAR) images of four municipalities of Tarlac Province, Luzon Island, Philippines, and are intended for use in studies exploring time-series data processing techniques such as dynamic time warping (DTW). The two sets of images were derived from Google's Earth Engine Data Catalog - Sentinel-1 SAR Ground Range Detected (GRD) and ALOS-2 PALSAR-2 ScanSAR Level 2.2 - and had already undergone the necessary preprocessing, including conversion into the WGS84 coordinate system, before being clipped using shapefiles of the political boundaries of the aforementioned four municipalities (Concepcion, La Paz, Capas, and Tarlac City). The 34 Sentinel-1 images contain three bands - VV, VH, and angle - and the 19 PALSAR-2 images contain six bands - HH, HV, LIN, MSK, HH_dB (the same HH band but converted from DN to dB), and HV_dB (the same HV band but converted from DN to dB), all taken between November 2016 and March 2018. These images have been prepared for the purposes of allowing the replication of the results of the paper "A Pipeline for Mapping Active Sugarcane Fields in the Philippines Using Sentinel-1 SAR Images, Python-Based Modules, and Dynamic Time Warping " (http://dx.doi.org/10.2139/ssrn.4908019). The aforementioned paper is made possible by the ASTI-ALaM Project – a directed Research and Development Project funded by the Philippine Council for Industry, Energy, and Emerging Technology Research and Development of the Department of Science and Technology (DOST-PCIEERD) that is currently being implemented by the Advanced Science and Technology Institute (DOST-ASTI). The mapping application's source code, as well as other data that can help in replicating the results of this study, can be requested by sending an email to: - juliusnoah.sempio@asti.dost.gov.ph - jhsempio@alum.up.edu.ph
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Steps to reproduce
The steps in using the datasets are outlined in the Methodology section of the paper "A Pipeline for Mapping Active Sugarcane Fields in the Philippines Using Sentinel-1 SAR Images, Python-Based Modules, and Dynamic Time Warping " (http://dx.doi.org/10.2139/ssrn.4908019).