Use of Remote Sensing Data for Some Soil Properties Studying in Areas at Risk of Acidic Soil and Saline Soil of Central Thailand
DOI:
https://doi.org/10.14456/jare-mju.2024.33Keywords:
soil property, land use, Sentinel-2, vegetation indexAbstract
Conventional soil properties study including soil sampling and laboratory analysis are laborious, costly and time-consuming. Remote sensing data is collected as reflected electromagnetic radiation that vary with objects and correlate with plant growth and health. It can shorten the time of collecting soil samples, reduce cost from both in filed and laboratory. This research was studied the potential of satellite images (Sentinel 2) by calculating three vegetation indices: Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI) and Normalized Difference Infrared Index (NDII) and correlating with soil fertility indicators, such as soil pH, soil electrical conductivity, and soil organic matter. Soil samples were collected from Kamphaeng Saen district in Nakhon Pathom province, which is at risk of saline soil, as well as from Bang Len district in Nakhon Pathom province and Pak Phli district in Nakhon Nayok province, both of which were at risk of acidic soil. The fertility of the soil was found to be associated with land use types, soil series, and vegetation indices calculated from Sentinel 2 satellite images. In March, the NDVI with a logarithmic model showed the highest potential for estimating soil pH. Similarly, in December, the GNDVI with an exponential model demonstrated the highest potential for estimating soil electrical conductivity. However, all vegetation indices were unsuitable for predicting soil organic matter.
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