ASSESSMENT OF LEAF CHLOROPHYLL CONTENT IN PARTS OF THE THAR DESERT USING REMOTE SENSING TECHNIQUES
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Authors
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SURAJ KUMAR SINGH, JAGPAL SINGH TOMAR, AGNI KUNDU, SUDHANSHU and SRUTI KANGA*
Centre for Sustainable Development, Suresh GyanVihar University, Jaipur - 302025
Keywords:
Chlorophyll, NDVI, Vegetation Index, Remote SensingAbstract
Recent advances in remote sensing led to an improved approach for monitoring vegetation
properties depending on chlorophyll content. The study brings out the importance of indices as
valuable approach to measure the chlorophyll content in Luni Upper Basin (Rajasthan and Gujarat).
Chlorophyll content was measured using four different vegetation indices, i.e., modified chlorophyll
absorption ratio index, chlorophyll index green model, chlorophyll index red-edge model, and
normalized differential vegetation index. In addition, the Landsat-8, Operational Land Imager (OLI) for
2015 with spatial resolution of 30 m, and Sentinel-2 multispectral imagery of 2020 with a spatial
resolution of 10 m was used for all the three seasons Rabi, Kharif, and Zaid (2015-2020) to estimate
the vegetation cover and chlorophyll content in plant leaves. The results showed 25% area was with
good vegetation and high chlorophyll content, and 35% area was under unhealthy vegetation with
low chlorophyll content in the Kharif season. In the case of Rabi season, 15% area was under good
vegetation and 40% area was under vegetation with low chlorophyll content was recorded. In the Zaid
season, 10% area with good vegetation, and 30% area with low vegetation chlorophyll content was
estimated. The results indicated that in the arid zone, where primarily low and moderate vegetation
cover were recorded contains low and medium chlorophyll content in the plant.
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