Assessing vegetation fragmentation and plantation efficiency in an intertidal mudflat of Eastern India using Radar Forest Degradation Index and spatial metrics-Reference-Cited by-同舟云学术

Assessing vegetation fragmentation and plantation efficiency in an intertidal mudflat of Eastern India using Radar Forest Degradation Index and spatial metrics

Published:2021-12-22 Issue: Volume: Page:1-22
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Datta Debajit¹,Dey Mansa¹,Neogy Sohini²,Basu Roy Tanushree³,Dutta Dipanwita³,Kundu Arnab⁴,Nandi Gouranga¹

Affiliation:

1. Department of Geography, Jadavpur University, Kolkata, India

2. Department of Geography, Banwarilal Bhalotia College, Asansol, India

3. Department of Remote Sensing & GIS, Vidyasagar University, Midnapore, India

4. Department of Geo-Informatics, P.R.M.S. Mahavidyalaya, Bankura University, Bankura, India

Funder

Science and Engineering Research Board

RUSA 2.0, JU.

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.2017014

Reference78 articles.

1. Characterisation of Vegetation Response to Climate Change: A Review

2. Detecting deforestation with multitemporal L‐band SAR imagery: a case study in western Brazilian Amazônia

3. Effects of changes in agricultural land-use on landscape structure and arable weed vegetation over the last 50 years

4. Coastal Morphodynamics

5. Incessant Erosion of High Tidal Mudflats in the Northern Gulf of Khambhat

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