Zhangwen Su

发表

What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests

Futao Guo, Guangyu Wang, Zhangwen Su, 2016 .

Modeling Anthropogenic Fire Occurrence in the Boreal Forest of China Using Logistic Regression and Random Forests

Wenhui Wang, Sen Jin, Mulualem Tigabu, 2016 .

Understanding fire drivers and relative impacts in different Chinese forest ecosystems.

Long Sun, Haiqing Hu, Mulualem Tigabu, 2017, The Science of the total environment.

Spatial Modelling of Fire Drivers in Urban-Forest Ecosystems in China

Mulualem Tigabu, M. Tigabu, Futao Guo, 2017 .

Using GIS and Random Forests to identify fire drivers in a forest city, Yichun, China

Futao Guo, Guangyu Wang, Zhangwen Su, 2018 .

Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China

M. Tigabu, Futao Guo, Guangyu Wang, 2019 .

Exploration of the Contribution of Fire Carbon Emissions to PM2.5 and Their Influencing Factors in Laotian Tropical Rainforests

Zhangwen Su, Zhenhui Xu, Shujing Wei, 2022, Remote. Sens..

Understanding the distribution and drivers of PM2.5 concentrations in the Yangtze River Delta from 2015 to 2020 using Random Forest Regression

Zhangwen Su, Lin Lin, Yimin Chen, 2022, Environmental Monitoring and Assessment.

Estimation of gases emitted by forest fires based on remote sensing data

Futao Guo, Zhangwen Su, Sen Jin, 2016, Journal of Forestry Research.

Modeling wildfire drivers in Chinese tropical forest ecosystems using global logistic regression and geographically weighted logistic regression

M. Tigabu, Futao Guo, Zhangwen Su, 2021, Natural Hazards.

Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005

John L. Innes, Long Sun, Haiqing Hu, 2015 .

Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model

Haiqing Hu, Mulualem Tigabu, M. Tigabu, 2019, Forests.

Geospatial information on geographical and human factors improved anthropogenic fire occurrence modeling in the Chinese boreal forest

Wang Wenhui, Futao Guo, Guangyu Wang, 2016 .

Wildfire ignition in the forests of southeast China: Identifying drivers and spatial distribution to predict wildfire likelihood

Long Sun, Guangyu Wang, Futao Guo, 2016 .

Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?

Futao Guo, Guangyu Wang, Zhangwen Su, 2021, Forests.

Comparing four regression techniques to explore factors governing the number of forest fires in Southeast, China

Futao Guo, Guangyu Wang, Zhangwen Su, 2021, Geomatics, Natural Hazards and Risk.

Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest

Zhangwen Su, Shujing Wei, Limin Yang, 2023, Remote Sensing.

Drivers of changes in soil properties during post-fire succession on Dahurian larch forest

Zhangwen Su, X. Di, Guang Yang, 2021, Journal of Soils and Sediments.

Spatiotemporal Dynamics and Climate Influence of Forest Fires in Fujian Province, China

M. Tigabu, Futao Guo, Guangyu Wang, 2022, Forests.

Exploring spatially varying relationships between forest fire and environmental factors at different quantile levels

Futao Guo, Guangyu Wang, Zhangwen Su, 2020 .