Published February 29, 2020 | Version v1
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Agricultural Stress Monitoring using Remote Sensing Data

  • 1. Department of CSE, Maharashtra Institute of Technology, Aurangabad, Maharashtra, India.
  • 2. Department of CSE, MGM's Jawaharlal Nehru Engineering College, Aurangabad, Maharashtra, India.
  • 1. Publisher

Description

This study consist of experiments on Hyperspectral remote sensing data for monitoring field stress using remote sensing tools. We have segmented Hyperspectral image and then calculated stress level using ENVI tool. EO-I hyperspectral remote sensing data from hyperion space born sensor has been used as the key input. QUACK (Quick Atmospheric Correction) algorithm has been used for atmospheric correction of hyperspectral data. EO-1, hyperion sensors data It has been observed that stress level depends on chlorophyll contents of a leaf. It has been observed that green field is with less stress and rock where no chlorophyll contents have most stress. We have also shown stress level in the scale of 1 to 9.

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Is cited by
Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958
Retrieval Number
C4688029320/2020┬ęBEIESP