The Temporal-Based Forest Disturbance Monitoring Analysis: A Case Study of Nature Reserves of Hainan Island of China From 1987 to 2020
Forest disturbance monitoring can provide scientific data for the decision making and management of nature reserves. LandTrendr algorithm has been applied to identify forest disturbances on a long-time scale through appropriate segmentation and linear fitting. In this study, 23 nature reserves were...
Main Authors: | Han Xiao, Xiaoqian Zhang, Min Yan, Li Zhang, Hua Wang, Yan Ma, Jianbo Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-04-01
|
Series: | Frontiers in Environmental Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.891752/full |
Similar Items
-
A Study to Assess the Conservation Effectiveness of Nature Reserves in Hainan, China, from 2000 to 2021
by: Xiaoqian Zhang, et al.
Published: (2023-06-01) -
Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm
by: Katsuto Shimizu, et al.
Published: (2023-02-01) -
Mapping Forest Abrupt Disturbance Events in Southeastern China—Comparisons and Tradeoffs of Landsat Time Series Analysis Algorithms
by: Ning Ding, et al.
Published: (2023-11-01) -
Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance
by: Warren B. Cohen, et al.
Published: (2020-05-01) -
Agents of Forest Disturbance in the Argentine Dry Chaco
by: Teresa De Marzo, et al.
Published: (2022-04-01)