Extraction of Soil Moisture Value Using ALOS PALSAR Data

Putri, Rahmawati and Razi, Pakhrur (2024) Extraction of Soil Moisture Value Using ALOS PALSAR Data. Springer Nature Link. pp. 375-389.

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Abstract

Abstract Soil moisture is an essential factor in determining the dryness level of an area. Generally, soil moisture is carried out manually, which takes a long time and is expensive. However, we extracted soil moisture values using SAR satellite data in this research. SAR satellite data has the advantage that it can be used during the day and night and in various weather conditions. This research extracted soil moisture values with ALOS PALSAR data and SNAP processing. Based on this research, most of Padang has high soil moisture levels. On a map of 11 sub-districts, 4 are high- humidity sub-districts, and 7 are sub-districts with moderate soil moisture levels, for sub-districts with high humidity levels, namely Kuranji District, Nanggalo District, North Padang District, and East Padang District.

Item Type: Article
Uncontrolled Keywords: Soil moisture Alos Palsar SAR SNAP Padang
Subjects: Q Science > QC Physics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Fisika-S1
Depositing User: Aditya Shawfani S.Pd
Date Deposited: 11 Feb 2025 03:36
Last Modified: 11 Feb 2025 03:36
URI: https://repository.unp.ac.id/id/eprint/1321

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