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Ornamental Plant Species forApplication
inPhytoremediation of Metal Contaminated Soils
Gayatri Sehrawat, Anubha Kaushik* and Rita Singh
University School of
Environment Management,
Guru Gobind Singh IndraprasthaUniversity, Sector 16C, Dwarka, New
Delhi-110078
*Email Id: akaushik@ipu.ac.in
Remote sensing;
Digital image
processing;
NDVI;
Carbon sequestration
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Abstract
Forest ecosystem has a vital role in regulating
climate change, providing ecological services to human population and in
improving the socio-economy of a country. However, with a rapidly growing
population a wide gap between demand and supply of goods and services
provided by forests has been observed. This has lead to a reduction in forest cover and therefore
a need arises to monitor it at regular interval of time. The continuously
evolving remote sensing technology is capable of providing satellite images
of Earth's surface at large scale. The current study utilizes Landsat
series of satellite images to derive information on forest type in the Yamunanagar forest division for the year 2000, 2010 and
2020 and find temporal changes in its cover. The forest area is extracted
using the boundary of the Yamunanagar forest
division. The normalized difference vegetation index (NDVI) algorithm is
used to distinguish green vegetation cover from other land use land use
land cover (LULC) classes. The forest cover was further classified in to
deciduous and coniferous type using the satellite images of leaf-on and
leaf-off season. Both, field observations and forest cover derived from
satellite images showed that not only quantitative estimation but
qualitatively growth of the two types of forest can be explained well with
the input data and method.
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