Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine-Reference-Cited by-同舟云学术

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Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine

Published:2024-05 Issue: Volume:359 Page:120966
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Ma Tianwu^ORCID,Wang Gang,Guo Rui,Chen Liang^ORCID,Ma Junfei

Publisher

Elsevier BV

Reference88 articles.

1. Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques;Adab;Nat. Hazards,2013

2. A review of the effects of forest fire on soil properties;Agbeshie;J. For. Res.,2022

3. Semi-supervised learning of classifiers from a statistical perspective: a brief review;Ahfock;Econ. Stat.,2023

4. Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey;Akıncı;Earth Sci. Inform.,2023

5. Comparison of vegetation regeneration after wildfire between Mediterranean and tundra ecosystems by using Landsat images;Au Yeung;Spatial Sci.,2018

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