Post-fire forest recovery trajectory characterized by a modified LandTrendr recovery detection method: A case study of Pinus yunnanensis forests-Reference-Cited by-同舟云学术

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Post-fire forest recovery trajectory characterized by a modified LandTrendr recovery detection method: A case study of Pinus yunnanensis forests

Published:2024-07 Issue: Volume:354 Page:110084
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Xu Xiao^ORCID,Li Yating,Li Shuai,Fan Hui

Publisher

Elsevier BV

Reference73 articles.

1. Flooding regime drives tree community structure in Neotropical dry forests;Araújo;J. Veg. Sci.,2019

2. Quantifying forest canopy traits: imaging spectroscopy versus field survey;Asner;Remote Sens. Environ.,2015

3. The physics and ecology of mining carbon dioxide from the atmosphere by ecosystems;Baldocchi;Glob. Chang. Biol.,2019

4. Forest monitoring using Landsat time series data: a review;Banskota;Can. J. Remote Sens.,2014

5. Characterizing forest disturbance and recovery with thermal trajectories derived from Landsat time series data;Barta;Remote Sens. Environ.,2022

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