Assessment of Forest Loss Following Snow and Ice Storms Using the LiDAR Forest Structure Change Index.

Haochen Liu, Zhaolong Li, Lingya Huang, Zeyu Yang, Haoran Lin, Yuanyong Dian

Abstract read

In one paragraph

Article in Plant phenomics (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Haochen LiuCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Zhaolong LiCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Lingya HuangCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Zeyu YangCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Haoran LinCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Yuanyong DianCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing forest loss from snow and ice storms is vital for disaster evaluation and sustainable management. Traditional optical remote sensing methods, which focus on horizontal canopy changes, struggle to capture vertical stand alterations caused by snow and ice storms. This study introduces the LiDAR Forest Structure Change Index (LFSCI), a novel index that employs bitemporal unmanned aerial vehicle (UAV) LiDAR point data to comprehensively evaluate changes in the vertical distribution of forest stands. Following ice storms in Shizishan, Wuhan, China in early 2024, research was conducted to compare the performance of LFSCI with traditional metrics, such as canopy cover (CC), Leaf Area Index (LAI), and tree height (TH), across two spatial scales (grid and individual tree). LFSCI was evaluated at nine point densities (5-177 pt/m

Indexed as

Bitemporal dataForest lossGraph AbstractSnow and ice stormsStand structure metricsUAV LiDAR

Identifiers

PMID41416179

DOI10.1016/j.plaphe.2025.100057

PMCPMC12710016

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.