Extraction of Soil Moisture Value Using ALOS PALSAR Data

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Rahmawati Putri, Pakhrur Razi

2024 Springer Proceedings in Earth and Environmental Sciences Vol. Part F3395 Book chapter Cited by 16 Quartile

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. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Affiliations

Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Jl. Prof Hamka, Padang, 25131, Indonesia; Research Center of Disaster Monitoring and Earth Observation, Universitas Negeri Padang, West Sumatra, Padang, 25131, Indonesia