Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar

• Main Author: Mokhtar, Norliana
• Format: Thesis
• Language: English
• Published: 2021
• Subjects: Aerial geography; Remote Sensing; Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
• Online Access: http://ir.uitm.edu.my/id/eprint/42573/1/42573.pdf; http://ir.uitm.edu.my/id/eprint/42573/

The soil moisture content (SMC) is a key hydrological cycle element, it is related to natural hazards and serves as an indicator of drought and yield in agriculture. The effectiveness of crops influenced by soil water factors for plant nutrient growth. The study aimed to estimate and map soil moisture content using C-band Synthetic Aperture Radar (SAR) data. To achieve the aim, the following objectives are, to do data collection and plot soil moisture, to determine the relationship between the parameter and backscatter, and to determine C-band Sentinel-1A SAR data. An agricultural area at Jalan Rani Estate near UiTM Arau, Perlis was chosen as the study area. This study will use Sentinel-1A satellite imagery to map soil moisture using remote sensing techniques. Twenty-two (22) soil sampling near Harumanis mango tree collected using handheld Global Positioning System (GPS). The effect of soil moisture and local incidence angle on the backscattering coefficient was analyzed. Indeed, the backscattering coefficient and local incidence angle were able to be used to derive the soil moisture map and showed RMSE.