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Mapping Mangrove Species Using Hyperspectral Data: A Case Study of Pichavaram Mangrove Ecosystem, Tamil Nadu

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Abstract

Background

There are many studies on mangrove mapping, zonal demarcation, landuse and land cover changes, and also topics like its loss and restoration using multispectral data. In the recent past, advanced remote-sensing data have been used for species discrimination, mapping, etc.

Purpose

The current research aims at identifying and mapping mangroves species along Pichavarm coast of Tamil Nadu, India, using hyperspectral remote-sensing data. The study attempts to map the species by generating the reference spectra from the existing reports and research papers, as surrogate to expensive field work in conjunction with Hyperion data of January 2013.

Methods

Image was pre-processed followed by Minimum Noise Fraction (MNF) and Pixel Purity Index (PPI). The output of MNF and PPI has been analysed by visualizing it in n-dimensions for end-member extraction. There were eleven spectra taken from the end-members, which were matched with reference spectra.

Results

The spectra—matched—, have been used as an input for classification of data with classifiers like Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF) and Spectral Information Diversion (SID) to identify and map mangroves species. Further to monitor the exact presence of the species at sub-pixel level, linear spectral un-mixing (LSU) was also performed.

Conclusions

The study found SAM with LSU as the best approach for mangrove species mapping in Pichavaram coast.

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Acknowledgements

We are thankful to USGS earth explorer for providing Hyperion data used in the study. We are thankful to anonymous reviewers for their constructive suggestions in revising the manuscript.

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Authors and Affiliations

  1. Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad, 500 032, India

    N. N. Salghuna & R. C. P. Pillutla

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  1. N. N. Salghuna
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  2. R. C. P. Pillutla
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Correspondence to N. N. Salghuna.

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Salghuna, N.N., Pillutla, R.C.P. Mapping Mangrove Species Using Hyperspectral Data: A Case Study of Pichavaram Mangrove Ecosystem, Tamil Nadu. Earth Syst Environ 1, 24 (2017). https://doi.org/10.1007/s41748-017-0024-8

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