DEVELOPING VEGETATION HEALTH INDEX FROM BIOPHYSICAL VARIABLES DERIVEDUSING MODIS SATELLITE DATA IN THE TRANS-GANGETIC PLAINS OF INDIA

Authors

  • Rahul Tripathi 1 Crop Production Division, Central Rice Research Institute, Cuttack, Orissa 753006, India
  • R. N. Sahoo [email protected]
  • V. K. Gupta 2 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110012, India
  • V. K. Sehgal 2 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110012, India
  • P. M. Sahoo [email protected]

DOI:

https://doi.org/10.9755/ejfa.v25i5.11580

Keywords:

Chlorophyll content, Equivalent water thickness, NDVI, Leaf area index, Vegetation health index

Abstract

Basic requirement for crop growth monitoring is the efficient tool for retrieving different plant biophysical variables and its accuracy or reliability. In the present study, statistical approach is used to retrieve the three biophysical parameters i.e. leaf area index (LAI), Chlorophyll content (Cab), and leaf equivalent water thickness (Cw). Normalized Difference Vegetation Index (NDVI), Red Index (RI) and Normalized Difference Water Index (NDWI) were used to retrieve LAI, Cab and Cw respectively. Study area was Trans-Gangetic plain comprising of whole Punjab, Haryana, Chandigarh, Delhi and some parts of Rajasthan. Field measurements were done at 190 locations. Spectral measurements (wheat crop and soil) with ground held spectroradiometer (FieldSpec3), LAI using Canopy Analyzer (LICOR-2000) and leaf samples were collected for further analysis in laboratory. Satellite data used was MODIS Surface Reflectance Product (MOD 09). Vegetation Health Index (VHI) was developed using the retrieved LAI, Cab and Cw and study area was categorized into four groups based on VHI.

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Published

2017-11-03

How to Cite

Tripathi , R., R. N. Sahoo, V. K. Gupta, V. K. Sehgal, and P. M. Sahoo. “DEVELOPING VEGETATION HEALTH INDEX FROM BIOPHYSICAL VARIABLES DERIVEDUSING MODIS SATELLITE DATA IN THE TRANS-GANGETIC PLAINS OF INDIA”. Emirates Journal of Food and Agriculture, vol. 25, no. 5, Nov. 2017, pp. 376-84, doi:10.9755/ejfa.v25i5.11580.

Issue

Section

Regular Articles