Study of Temporal Dynamics of Tea Phonology using Aqua MODIS time composition vegetation Indices

  • D. Nandi North Orissa University (Baripada) Takatpur,Mayurbhanj Orissa mob-09439728883
  • S. Bhowmik Department of Remote Sensing and GIS, North Orissa University
  • A. Pukhan Department of Remote Sensing and GIS, North Orissa University
Keywords: Remote Sensing. Tea Phonology, MODIS

Abstract

Assessments of vegetation condition, cover, modification, and processes are key factors of universal change research programs and are subjects of considerable societal relevance. Spectral vegetation indices are among the most widely used satellite data products, providing key measurements for climate, hydrologic, and biochemical studies; phonology, land cover and land cover change detection; natural resource management and sustainable evolution. We introduce a novel method for monitoring vegetation activity at high latitudes, using Moderate Resolution Imaging Spectro radiometer (MODIS) NDVI. 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 the land surface.

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Published
2018-06-27
Section
Articles