Spatiotemporal patterns of planted forests on the Loess Plateau between 1986 and 2021 based on Landsat NDVI time-series analysis-Reference-Cited by-同舟云学术

Spatiotemporal patterns of planted forests on the Loess Plateau between 1986 and 2021 based on Landsat NDVI time-series analysis

Published:2023-03-16 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Meng Yuanyuan¹,Hou Bowen²^ORCID,Ding Chao³,Huang Li¹^ORCID,Guo Yanpei¹^ORCID,Tang Zhiyao¹^ORCID

Affiliation:

1. Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China

2. School of Information Engineering, China University of Geosciences, Beijing, China

3. Center for Territorial Spatial Planning and Real Estate Studies, Beijing Normal University, Zhuhai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2185980

Reference66 articles.

1. A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing

2. Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud

3. Improved land monitoring to assess large-scale tree plantation expansion and trajectories in Northern Mozambique

4. Why Large-Scale Afforestation Efforts in China Have Failed To Solve the Desertification Problem

5. Carbon emissions from forest conversion by Kalimantan oil palm plantations

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