Bhitarkanika Mangrove Species Change Detection Using Hyperspectral Remote Sensing and Field Survey-Reference-Cited by-同舟云学术

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Bhitarkanika Mangrove Species Change Detection Using Hyperspectral Remote Sensing and Field Survey

Published:2023-10-31 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Mathai Aby K¹,Mathew Alex²,Lakshmanan Gnanappazham²,Prasad K. Arun³

Affiliation:

1. Indian Institute of Science Education and Research,Earth and Climate Science,Pune,India

2. Indian Institute of Space Science and Technology,Earth and Space Sciences,Trivandrum,India

3. Central University of Tamil Nadu,Department of Geography,Thiruvarur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430415/10430497/10430649.pdf?arnumber=10430649

Reference10 articles.

1. Multi-resolution remote sensing for the specieslevel classification of mangroves

2. Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative

3. Zonation and Directional Dynamics of Mangrove Forests Derived from Time-Series Satellite Imagery in Mai Po, Hong Kong

4. Temporal patterns in species zonation in a mangrove forest in the Mekong Delta, Vietnam, using a time series of Landsat imagery

5. Mangrove classification using airborne hyperspectral AVIRIS-NG and comparing with other spaceborne hyperspectral and multispectral data

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