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Hyper Spectral Remote Sensing for Mapping Species and Characteristics of Mangroves in Krishna Delta Region

Jemima Undrajavarapu1 * and M. Chandra Sekhar2

Corresponding author Email: jemima.u09@gmail.com

DOI: http://dx.doi.org/10.12944/CWE.15.3.25

Mangroves are globally classified as eastern and western groups of which 40% are found along Asian coasts. The largest identified mangroves are found in Indonesia, Brazil, Sunder bans of India and Bangladesh. Odum 1971 in his research referred mangroves serve as Juvenile stock and form most valuable Biomass. In the state of Andhra Pradesh the mangroves are concentrated in the deltas of Krishna and Godavari which add a healthy ecosystem. An extensive research in monitoring the nature and changes of Godavari delta mangroves using Remote sensing technologies. The mangroves are vastly reserves of  different species of flora and are classified as single vegetative class in traditional multispectral imagery, where there is a possibility of losing information due to specific narrow band widths. Hence an attempt is being made for species level classification and characterization of Krishna delta region using hyper spectral remote sensing imagery. Hyper spectral remote sensing overcomes the limitation of extensive field work which is labor intensive and costly. The current research paper describes the species level classification of flora in Krishna delta using Hyper spectral remote sensing imagery.

Envi; Hyperspectral Remote Sensing; Krishna Delta; Mangroves; Species Classification

Copy the following to cite this article:

Undrajavarapu J, Sekhar M. C. Hyper Spectral Remote Sensing for Mapping Species and Characteristics of Mangroves in Krishna Delta Region. Curr World Environ 2020;15(3). DOI:http://dx.doi.org/10.12944/CWE.15.3.25

Copy the following to cite this URL:

Undrajavarapu J, Sekhar M. C. Hyper Spectral Remote Sensing for Mapping Species and Characteristics of Mangroves in Krishna Delta Region. Curr World Environ 2020;15(3). Available From: https://bit.ly/37kKPdz

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