Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data-Reference-Cited by-同舟云学术

Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data

Published:2018-09-20 Issue:3 Volume:13 Page:393-409
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Wang Mengmeng¹²^ORCID,He Guojin¹³,Ishwaran Natarajan¹³,Hong Tianhua¹³,Bell Andy⁴,Zhang Zhaoming¹^ORCID,Wang Guizhou¹,Wang Meng¹³

Affiliation:

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. The International Centre on Space Technologies for Natural and Cultural Heritage, United Nations Educational Scientific and Cultural Organization, Beijing, People’s Republic of China

4. LEEP Institute, University of Exeter, Exeter, Devon, UK

Funder

National Natural Science Foundation of China

Hainan Provincial Department of Science and Technology

Hainan Provincial key technology research and demonstration programs of farmland improvement

National Key Research and Development Programs of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2018.1523955

Reference42 articles.

1. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003

2. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

3. Improving the precision of dynamic forest parameter estimates using Landsat

4. On the relation between NDVI, fractional vegetation cover, and leaf area index

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