Monitoring of Soil Moisture Based on Remote Sensing Imagery to Support the Carrying Capacity of Agricultural Land in Sleman Regency Tiara Sarastika (a*), Uli Ulfa (b), Yusuf Susena (c) Adam Derbyan^syah (a), Yona Septiyasari (a), Amara Seva Azalikha (a)
a) Soil Science, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia
*tiara.sarastika[at]upnyk.ac.id
b) Geophysics Engineering, Faculty of Technology and Minerals, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia
c) Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia
Abstract
Soil is a natural medium that supports living creatures^ lives, including plants. Soil moisture influences plants^ process of absorbing nutrients. Information on soil moisture plays an important role in sustainable agriculture, especially regarding the carrying capacity of agricultural land. Fast and accurate determination of soil moisture values is important for research because it is essential to assist the process of planning, implementing, monitoring, and evaluating activities in the agricultural sector. Estimates of soil moisture values based on remote sensing technology were obtained through Sentinel-1 SAR imagery analysis. This research aims to 1) monitor soil moisture data over a certain period, and 2) analyze the relationship between soil moisture data and the carrying capacity of agricultural land. Estimating soil moisture values using Soil Moisture Index (SMI) analysis and correlated with field sample. Soil moisture data monitoring results show that moisture levels in July 2023 and June 2024 have low soil moisture conditions, while August 2023 to May 2024 have medium-high soil moisture conditions. The correlation of 0.3700 indicates a weak to moderate positive relationship between SMI and field soil moisture. Soil moisture estimates using remote sensing technology can be used to formulate useful policies in the agricultural sector, especially the carrying capacity of land for plant growth and development.
Keywords: humidity, Sentinel-1 image, land carrying capacity
