Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China
Although low-intensity forest fires are a necessary part of healthy echo system, high-intensity forest fires continue to affect the diversity of forest ecosystems and species. Therefore, it is necessary to study the driving factors of forest fires and explore their possible locations and probabiliti...
Main Authors: | Zechuan Wu, Mingze Li, Bin Wang, Ying Quan, Jianyang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/9/1813 |
Similar Items
-
Environmental Policy in China: Forest Management and Development in Heilongjiang Province
by: Zhang Yemo
Published: (2021-12-01) -
Analysis of Factors Related to Forest Fires in Different Forest Ecosystems in China
by: Zechuan Wu, et al.
Published: (2022-06-01) -
Forest-Fire-Risk Prediction Based on Random Forest and Backpropagation Neural Network of Heihe Area in Heilongjiang Province, China
by: Chao Gao, et al.
Published: (2023-01-01) -
Forest Fire Patterns and Lightning-Caused Forest Fire Detection in Heilongjiang Province of China Using Satellite Data
by: Qiangying Jiao, et al.
Published: (2023-04-01) -
Forest Fire Spread Monitoring and Vegetation Dynamics Detection Based on Multi-Source Remote Sensing Images
by: Yuping Tian, et al.
Published: (2022-09-01)