Characterizing Post-Fire Forest Structure Recovery in the Great Xing’an Mountain Using GEDI and Time Series Landsat Data

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 12; p. 3107
• Main Authors: Lin, Simei, Zhang, Huiqing, Liu, Shangbo, Gao, Ge, Li, Linyuan, Huang, Huaguo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2023
• Subjects: Artificial satellites in remote sensing; burn severity; Canopies; canopy; Carbon; China; chronosequences; Datasets; Deforestation; Ecosystem dynamics; ecosystems; Environmental aspects; Forest & brush fires; Forest carbon; Forest fires; Forest management; Forest reproduction; Forests; GEDI metrics; Image classification; Landsat; Landsat satellites; Methods; Mountains; multispectral imagery; Plant species; post-fire structure recovery; pre-fire canopy cover; Remote sensing; Satellite imagery; Time series; time series analysis; time-series Landsat data; trees; Vegetation; China

Understanding post-fire forest recovery is critical to the study of forest carbon dynamics. Many previous studies have used multispectral imagery to estimate post-fire recovery, yet post-fire forest structural development has rarely been evaluated in the Great Xing’an Mountain. In this study, we ext...