Monitoring the dynamic changes in vegetation cover and driving factors from 2000 to 2020 in the Maoershan Forest Farm region, China, using satellite remote sensing data

Monitoring the dynamic changes in vegetation cover and driving factors from 2000 to 2020 in the Maoershan Forest Farm region, China, using satellite remote sensing data

Aim of study: Natural climate change is a central driver of global ecosystem and forest change. Climate change and topographical factors have had the greatest impact on different types of forests around the world. We used remote sensing technology to detect and analyze the temporal and spatial chan...

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Bibliographic Details
Main Authors: Teng LI, Yuanke GAO
Format: Article
Language:English
Published: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 2023-07-01
Series:Forest Systems
Subjects:
forest management
climate change
random forest
NDVI
Online Access:https://revistas.inia.es/index.php/fs/article/view/20348

Internet

https://revistas.inia.es/index.php/fs/article/view/20348

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