SOIL MOISTURE DEPLETION ANALYSIS BASED ON HIGH RESOLUTION AERIAL PHOTOGRAPHS
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Date
2020
Authors
Thakur, Sakshi
Journal Title
Journal ISSN
Volume Title
Publisher
Indira Gandhi Krishi Vishwavidyalaya, Raipur
Abstract
Soil moisture content is the amount of water which is present In soil and required for the growth of any plant. Soil moisture is an important variable in land surface hydrology. It has very important implications for agriculture, wildlife, and public health. To calculate the moisture content of soil we used drone images instead of satellite images because of its high resolution and ability to work in cloudy conditions.There are many methods for measurement of soil moisture either directly or indirectly some of them are gravimetric method, electrical conductivity method, measurement by using tensiometers, neutron scattering method however these methods are laborious and time taking also inaccurate when using on large scale analysis. For large scale & accurate measurement remote sensing techniques can be used due to its potential for covering large area with real time information. These techniques include aerial or satellite platform, in which UAV (Unmanned Aerial Vehicle) is most popular these days.
The UAV is a small aircraft (Quadcopter) that can fly for an hour at a speed of 30 miles per hour at an altitude of 100-150 feet. Mainly fixed wing and multirotor UAV are widely used in agriculture. Using the UAV higher spatial and temporal data resolution can be achieved.It is a versatile device and cost effective method in collecting high resolution imagery. This technology had been used commonly in agricultural field globally.
The study field is situated in the farm of Indira Gandhi Agriculture University, Raipur in front of IGKV Museum, with the Latitude of 21º14’08.09” N and Longitude of 81º42’32.69” E. The field having area of 60*40 meters which was divided into 6 blocks of 20*20 meters. The paddy crop was shown in the field in which 3 variety of paddy crop was there with 2 replications. The field was totally in rainfed condition and no supplementary irrigation was provided there.
For soil moisture analysis the soil samples were collected from the field two times a week and gravimetric method was used to obtain the actual moisture content of soil. The aerial images were captured with the help of drone and the analysed using the ArcGIS and Erdas IMAGINE software. The images first georeferenced using the ArcGIS software and then the images were splitted into the visual bands (Red, Green, Blue) with the help of Erdas IMAGINE software for the analysis of the NDBRSMI index.
The soil moisture index were generated using the Raster Calculator in ArcGIS software. The generated index values and the obtained soil moisture data were compared with the help of statistical parameters to establish the best suitable relation between the observed and simulated moisture content of the study.The soil moisture content was different for each block as the water absorption capacity was varied as per the variety of crop.
Description
SOIL MOISTURE DEPLETION ANALYSIS BASED ON HIGH RESOLUTION AERIAL PHOTOGRAPHS