Spatio-temporal variations in plantation forests’ disturbance and recovery of northern Guangdong Province using yearly Landsat time series observations (1986

Spatio-temporal variations in plantation forests’ disturbance and recovery of northern Guangdong Province using yearly Landsat time series observations (1986–2015)

Published:2017-06-24 Issue:4 Volume:27 Page:600-613
ISSN:1002-0063
Container-title:Chinese Geographical Science
language:en
Short-container-title:Chin. Geogr. Sci.

Author:

Shen Wenjuan,Li Mingshi,Wei Anshi

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,Geography, Planning and Development

Link

http://link.springer.com/article/10.1007/s11769-017-0880-z/fulltext.html

Reference44 articles.

1. Chen Xingliang, Ju Qian, Lin Kunlun, 2014. Development status’ issues and countermeasures of China’s Plantation. World Forestry Research, 27(6): 54–59. (in Chinese)

2. Cohen W B, Yang Z Q, Stehman S V et al., 2016. Forest disturbance across the conterminous United States from 1985–2012: the emerging dominance of forest decline. Forest Ecology and Management, 360: 242–252. doi: 10.10 16/j.foreco.2015.10.042

3. Coppin P R, Jonckheere I, Nackaerts K et al., 2004. Digital change detection methods in ecosystem monitoring: a review. Journal of Remote Sensing, 25(9): 1565–1596. doi: 10.1080/0143116031000101675

4. Dale V H, Joyce L A, McNulty S et al., 2001. Climate change and forest disturbances: climate change can affect forests by altering the frequency, intensity, duration, and timing of fire, drought, introduced species, insect and pathogen outbreaks, hurricanes, windstorms, ice storms, or landslides. BioScience, 51(9): 723–734. doi: 10.1641/0006-3568(2001)051[0723: CCAFD]2.0.

5. Edwards D P, Tobias J A, Sheil D et al., 2014. Maintaining ecosystem function and services in logged tropical forests. Trends in Ecology & Evolution, 29(9): 511–520. doi: 10.1016/j.tree. 2014.07.003

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping of secondary forest age in China using stacked generalization and Landsat time series;Scientific Data;2024-03-16

2. Mapping the Age of Subtropical Secondary Forest Using Dense Landsat Time Series Data: An Ensemble Model;Remote Sensing;2023-04-14

3. A New Method for the Rapid Determination of Fire Disturbance Events Using GEE and the VCT Algorithm—A Case Study in Southwestern and Northeastern China;Remote Sensing;2023-01-10

4. Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes;Concepts and Applications of Remote Sensing in Forestry;2022

5. Accuracy Improvements to Pixel-Based and Object-Based LULC Classification with Auxiliary Datasets from Google Earth Engine;Remote Sensing;2021-01-28