Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants-Reference-Cited by-同舟云学术

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Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants

Published:2022-01 Issue: Volume:265 Page:109428
ISSN:0006-3207
Container-title:Biological Conservation
language:en
Short-container-title:Biological Conservation

Author:

Matas-Granados L.,Pizarro M.,Cayuela L.,Domingo D.,Gómez D.,García M.B.

Funder

European Commission

CSIC

Agencia Estatal de Investigacion

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology, Evolution, Behavior and Systematics

Reference43 articles.

1. Use of descriptors of ecosystem functioning for monitoring a national park network: a remote sensing approach;Alcaraz-Segura;Environ. Manag.,2009

2. Mapping three decades of changes in the Brazilian savanna native vegetation using Landsat data processed in the Google Earth Engine platform;Alencar;Remote Sens.,2020

3. Vegetation expansion in the subnival Hindu Kush Himalaya;Anderson;Glob. Change Biol.,2020

4. Fitting linear mixed-effects models using lme4;Bates;J. Stat. Softw.,2015

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3. Long-term assessment of historical disturbances in the dry land ecosystems of Mutis Timau Nature Reserve, East Nusa Tenggara, Indonesia;Forest Science and Technology;2024-07-02

4. Using UAVRS and deep learning to conduct resource surveys of threatened Tibetan medicinal plants in the Qinghai-Tibet Plateau;Global Ecology and Conservation;2024-06

5. A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021);Land;2024-05-12

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