陆地卫星数据响应了Caatinga植物群落沿着一个连续梯度的结构变化的变化
Fernanda Kelly G DA Silva1, Fernando Roberto Martins2, Adunias Dos Santos Teixeira3
1Programa de Pós-Graduação em Ecologia e Recursos Naturais, Departamento de Biologia, Campus do Pici, Universidade Federal do Ceará, Avenida Humberto Monte, s/n, 60440-900 Fortaleza, CE, Brazil.
Anais da Academia Brasileira de Ciencias
|October 25, 2023
概括
遥感有效地追踪非森林生态系统中的植物社区变化. 多光谱卫星图像可以识别结构变化,帮助大或偏远地区的植被分析.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 植物科学 植物科学
背景情况:
- 传统的植物社会学调查植物社区的继承是劳动密集型和有限的网站.
- 遥感为大规模植被分析提供了有效的替代方案,特别是在难以进入的地区.
- 现有的遥感研究主要集中在森林生态系统上,使得非森林生理学未得到充分探索.
研究的目的:
- 评估多谱传感器图像 (OLI-Landsat) 在非森林生理学中植物群落继承期间识别结构变化的能力.
- 为了将植被结构描述符与Caatinga碎片中的遥感变量相关联.
主要方法:
- 在各个年龄段的Caatinga碎片上建立了十三个0.1公的地块 (10-15, 20-25, 30-35, 40-45,>50年).
- 量化植被结构:个体的总密度 (TD),平均树冠高度 (H),总基底面积 (G) 和总地面生物质 (AGB).
- 与雨季和干旱季的Landsat衍生反射率和光谱指数相关的结构描述符.
主要成果:
- 蓝色和短波红外反射率与平均高度,基底面积和生物质有显著的负相关性 (系数: -0.58至 -0.79).
- 这些相关性在不同的季节和植被年龄之间是一致的.
- 频谱数据受到垃圾层和土壤暴露等因素的影响.
结论:
- 多谱遥感,特别是使用Landsat OLI数据,可以有效监测非森林植物群落的结构变化.
- 蓝色和短波红外等光谱带是植物结构和生物质的敏感指标.
- 了解非光合作用成分和土壤的影响对于准确的基于遥感的植被评估至关重要.
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