使用多标准决策和机器学习模型绘制森林火灾易感性地图,在印度西部加特山脉
A R Uthappa1, Bappa Das1, Anurag Raizada1
1ICAR-Central Coastal Agricultural Research Institute, Ela, Old Goa, India.
Journal of environmental management
|March 10, 2025
概括
沿海地区的森林火灾正在增加. 这项研究使用机器学习绘制了戈阿州火灾易感性的地图,发现44%的森林非常易感,敦促采取预防措施.
科学领域:
- 环境科学 环境科学
- 林业林业 林业 林业 林业
- 地理空间分析是什么
背景情况:
- 由于气候变化和人类活动,全球森林火灾增加.
- 有效的森林火灾管理需要准确的易感性评估.
- 沿海地区面临着因降雨量变化和温度升高而增加的火灾风险.
研究的目的:
- 绘制印度戈阿州森林火灾易感性的地图.
- 为了比较机器学习模型用于火灾风险评估的性能.
- 确定影响森林火灾易感性的关键变量.
主要方法:
- 使用遥感 (RS) 和地理信息系统 (GIS) 数据.
- 使用分析层次过程 (AHP) 和机器学习 (随机森林,SVM,XGBoost).
- 纳入了九个变量:高度,斜率,角度,TWI,森林覆盖面,NDVI,距离道路/定居点的距离,以及LST.
主要成果:
- 随机森林 (RF) 模型在绘制火灾易感度方面表现出卓越的性能.
- 戈阿44.15%的森林覆盖面被归类为非常易受火灾的影响.
- 森林类型,距离定居点,坡度和NDVI被确定为关键因素.
结论:
- 机器学习技术对于有效的森林火灾风险评估和管理至关重要.
- 在已确定的高风险地区,需要紧急实施预防性消防控制措施.
- 这项研究为戈阿的积极森林火灾管理提供了至关重要的工具.
相关概念视频
Applications of GIS: Disaster Management and Emergency Response
31
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
31
Responses to Drought and Flooding
10.6K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.6K
Manipulation and Analysis
17
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
17
Selected Data About Geographic Locations
22
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
22
Survival Tree
49
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
49
Response Surface Methodology
81
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
81


