Sensitivity of vegetation indices of MODIS data for the monitoring of rice crops in Raichur district, Karnataka, India

• Main Authors: B.R. Raghavendra, M.A. Mohammed Aslam
• Format: Article
• Language: English
• Published: Elsevier 2017-12-01
• Series: Egyptian Journal of Remote Sensing and Space Sciences
• Subjects: MODIS; LAI; NDVI; Vegetation indices
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110982316300278

Seasonal monitoring of agriculture helps to solve many issues related to crops. The study demonstrates the ability of different vegetation indices to support Leaf Area Index (LAI) at different growing stages of rice crops. Vegetation indices are numerical parameters which formed by the combination of different spectral bands. An attempt has been done to monitor the rice crops of Raichur district using different spectral vegetation indices and sensitivity of these indices was evaluated. The set of indices used in this study comprised LAI, NDVI, DVI, EVI, EVI2, SAVI, OSAVI, MASAVI2 and STVI. Deviation of all the indices was monitored throughout the year and relationship between these indices was assessed by correlation. To overcome the drawbacks of traditional regression analysis, the mathematical sensitivity was proposed. VIs has shown consistent trends of relationships with rice crops and these indices could be important indicators for studies concentrating on monitoring of photosynthetic materials on land surface.