Mapping forest landscape fragmentations under different fire severity using Sentinel-2 data with SNIC-MVI RF
Year: 2025
Type: article
Abstract: • SNIC-MVI RF can accurately get forest landscape fragmentation in mountain areas. • Indices segmented from pixels to objects can relieve “salt and pepper” noises. • Significant differences exist in post-fire forest landscape fragmentation indices. • Pre-fire meteorological conditions and vegetation coverage are two main factors. Mapping forest landscape fragmentation (FLF) after fires is essential for maintaining ecosystem balance, reducing fire-related losses, and minimizing environmental damage. However, the “salt-and-pepper” phenomenon complicates accurate FLF mapping at fine resolutions (≤ 10 m) in mountainous regions. To relieve the phenomenon, this study used the multi-vegetation index (MVI) to represent FLF and applied the Simple Non-Iterative Clustering (SNIC) algorithm to convert pixels into objects before classification, and then SNIC-MVI RF was introduced to map FLF using Sentinel-2 imagery and land use data. In combination with topographical and meteorological data, the Geodetector was employed to analyze the influencing factors on FLF patterns across different fire severity ranges. The results indicate that: (1) The proposed SNIC-MVI RF can accurately retrieve FLF across a range of fire severity using 10-m Sentinel-2 imagery while mitigating the “salt-and-pepper” phenomenon, with an average precision of 96.2 % and an average F1-score of 97.4 %. (2) The FLF spatial patterns exhibit significant differences across fire severity. Low fire severity (LFS) leads to an increase in the number of small patches, moderate fire severity (MFS) results in more complex patch edges, and high fire severity (HFS) promotes greater patch aggregation. (3) Pre-fire meteorological conditions and vegetation cover are major influences on the spatial patterns of FLF under different fire severities. This study will provide a new method for exploring the impact of different fire severities on FLF in central Yunnan. As an important indicator for assessing ecological disturbance and habitat degradation, analyzing the response of fragmentation to different fire severities can help administrators evaluate the impacts of fire on FLF more scientifically and develop more targeted and sustainable forest management and ecological restoration strategies.
Authors: Jiayue Gao, Weili Kou, Ran Meng, Lingling Guo, Yue Chen, Ning Lu, Ruixiong Duan, Qiuhua Wang, Yungang He, Chunqin Duan, Yi Yang
Language: English
Topic: Fire effects on ecosystems
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: gold
Estimated APC paid: $3,550
Award: G3118389348
OpenAlex ID: W4416401915
