Assessment of Soil Moisture Using Remote Sensing in Watershed Forest, Pa Sak Ngam Village, Luang Nuea Sub District, Doi Saket District, Chiang Mai Province
Abstract
This study aimed to estimate soil moisture in the watershed forest area of Pa Sak Ngam Village, Doi Saket district, Chiang Mai province, Thailand using Landsat 8 OLI/TIRS satellite image data. The analysis was conducted between February to May and November to December in 2021. The relationship between Land Surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) was evaluated. The research also explored the connection between the soil moisture index obtained from satellite images and the soil moisture percentage obtained from thirty laboratory-measured soil samples. Results showed that average soil moisture in November had the highest, followed by May, April, December, February, and March, respectively. In addition, the soil moisture index obtained from satellite images and soil moisture percentage obtained from field samples and analyzed in the laboratory each month were not correlated. However, there was a significant seasonal correlation with a moderate correlation (0.653) at the 95% confidence level. The study findings could serve as a guideline for monitoring drought conditions using satellite images to assess soil moisture in the area and planning the restoration and conservation of watershed forests.References
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