Vol. 12, Issue 1 (2023)

Author(s):
Moncy S Akkara, AR Pimpale, SB Wadatkar, PB Rajankar and IK Ramteke

Abstract:
The temporal spectral pattern of any crop encapsulates its phenology as well as its growth characteristics. Hence, temporal spectral profile of each crop is unique and can be used to differentiate crops. The temporal spectral profile has wide applications including crop identification, acreage estimation, plant health monitoring, yield modelling and water demand calculation. Temporal spectral profiles of chickpea crop grown in Akola district of Maharashtra state were studied The research analyses the potential of Sentinel 2A satellite data in extracting different vegetation indices when supported with adequate ground truth data. The four most common vegetation indices namely, Ratio Vegetation Index (RVI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Soil Adjusted Vegetation Index (SAVI) were extracted from the Sentinel 2 A satellite data using ArcGIS and ERDAS Imagine Softwares. The temporal spectral profiles of chickpea crop was successfully derived from the study conducted at Akola district of Maharashtra State during 2021-22 based on data obtained from 39 ground truth stations. The profiles were obtained by plotting the weeks after sowing versus the VI values. Profiles of all the vegetation indices were found to follow a similar behaviour throughout the crop growth cycle showing lower values in the initial and crop development stage reaching to maximum values at the maturity and then decline up to senescence. The curves satisfy fourth order polynomial showing high R² values.