Soil Moisture Estimation of Agricultural Field Using Sentinel 1A SAR Data
P. Pari, Dr.M. Ramalingam and Dr.S. Jayalakshmi
Agricultural water supply is the highest utilization of fresh water in the world. Increasing the fresh water demand necessary to optimize the use of fresh water resources in the agricultural productivity. The purpose of this study was economical water supply by estimate soil moisture from sentinel 1A synthetic Aperture Radar (SAR) images over agricultural fields. Active remote sensing is suitable for soil moisture retrieval of land parcel level mapping. Linear relationship between the backs cattering coefficients, leaf water content to volumetric soil moisture content. Leaf water content was estimated from Land sat 8 multispectral satellite image, use near infrared and short wave infrared spectral bands. Selected the high correlated R2value model equation was validated using measured soil moisture value. At parcel level scale, soil moisture mapping can be very useful for irrigation scheduling in the agricultural crop land.
Keywords: Synthetic Aperture Radar, Backscatter, Moisture, Gravimetric.
Volume: 5 | Issue: 1
Paper ID : IJPPAS105090
Issue Date: February , 2017Full Text