A forest type-specific threshold method for improving forest disturbance and agent attribution mapping
Author:
Affiliation:
1. Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China
2. Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, China
Funder
National Natural Science Foundation of China
Programme for the provincial innovative team of the climate change study of the Greater Mekong Subregion
Scientific Research Foundation of Yunnan Provincial Education Department
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2127459
Reference71 articles.
1. Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda
2. The ecological impact of pest-induced tree dieback on insect biodiversity in Yunnan pine plantations, China
3. Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis
4. How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?
5. Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance
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