使用后勤回归模型分析亚马逊地区的环境变量和森林砍伐
Helder J F da Silva1, Weber A Gonçalves2, Bergson G Bezerra2
1Brazilian Meteorology Agency, São Paulo, SP, Brazil. helderlagoia@gmail.com.
Environmental monitoring and assessment
|September 9, 2024
概括
巴西朗多尼亚地区的森林砍伐显著增加了表面白度和温度. 这种森林生物质的损失还减少了植被指数,总初级生产率和蒸发,影响了亚马逊生态系统.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 生态生态学 生态生态学
背景情况:
- 亚马逊地区的森林砍伐带来了重大的环境挑战.
- 了解土地利用变化对环境变量的影响对于保护工作至关重要.
研究的目的:
- 用遥感数据识别巴西隆多尼亚的森林砍伐地区.
- 评估森林砍伐对2000年至2022年关键变量的环境影响.
主要方法:
- 应用到MODIS/Terra传感器数据的多变量物流回归模型.
- 对白度,温度,蒸发透气 (ETr),植被指数 (EVI) 和总初级生产率 (GPP) 的分析.
- 使用曲线下的面积 (AUC),伪R2和Akaike信息标准来评估模型的准确性.
主要成果:
- 与森林地区相比,砍伐森林的地区表现出更高的白度 (25%) 和表面温度 (3.2°C).
- 由于生物质损失,观察到EVI (16%),GPP (18%) 和ETR (23%) 的显著减少.
- 一个结合表面温度和白度的模型在识别森林砍伐影响方面取得了91.6%的准确性.
结论:
- 隆多尼亚地区的森林砍伐导致了表面能量平衡和生态系统生产率的可衡量的变化.
- 表面温度和白度是湿热带地区森林砍伐对环境影响的关键指标.
- 调查结果为森林砍伐地区的环境管理和政策提供了关键数据.
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