Damage assessment of chilli thrips using high resolution multispectral satellite data

Authors

  • Mathyam Prabhakar ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • Merugu Thirupathi, ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • G. Srasvan Kumar ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • U. Sai Sravan ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • M. Kalpana ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • K.A. Gopinath ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.
  • N. Ravi Kumar ICAR-Central Research Institute for Dryland Agriculture, Santosh Nagar, Hyderabad-500059, India.

DOI:

https://doi.org/10.54386/jam.v21i4.284

Keywords:

Pest, crop stress, spectral vegetation index, remote sensing, spatial distribution

Abstract

Remote sensing technology offers an effective, rapid and reliable tool for assessing pest severity in vegetation. Ground based hyperspectral radiometry studies revealed significant difference in the reflectance spectra between healthy and thrip damaged vegetation. Space borne multispectral reflectance from Sentinel 2A satellite data of chilli thrip infested canopy has significant differences in red region (Band 4 – 664.6 nm), NIR region (Bands 5, 6, 7, 8 & 8A having central wavelengths at 704.1, 740.5, 782.8 & 832.8 nm, respectively) and SWIR region (Bands 11 & 12 having central wavelengths at 1613.7 and 2202.4 nm). In this study, an attempt was made to discriminate healthy and pest affected chilli crop in the multispectral satellite imagery using several multispectral vegetation indices. Of these, land surface water index, LSWI (p=0.018) and normalized difference water index, NDWI (p=0.001) were found significant. These indices were used to classify chilli fields in the satellite imagery into severe, moderate and healthy classes. Superior performance of LSWI over NDWI with overall accuracy of 93.80 and Kappa Coefficient of 0.89 was observed. Moran's Index was used to study the spatial distribution of chilli thrips and observed strong clustering (I= 0.9073, p=0.0001).

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Published

01-12-2019

How to Cite

Mathyam Prabhakar, Merugu Thirupathi, G. Srasvan Kumar, U. Sai Sravan, M. Kalpana, K.A. Gopinath, & N. Ravi Kumar. (2019). Damage assessment of chilli thrips using high resolution multispectral satellite data. Journal of Agrometeorology, 21(4), 480–487. https://doi.org/10.54386/jam.v21i4.284

Issue

Vol. 21 No. 4 (2019): December

Section

Research Paper

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