使用光学卫星数据估计巴西红树林中的碳库存
Manoel Mariano Neto1, Janaína Barbosa da Silva2, Higor Costa de Brito3
1Center of Technology, Federal University of Alagoas, Maceió, Alagoas, Brazil. marianop.paiva2@gmail.com.
Environmental monitoring and assessment
|December 4, 2023
概括
这项研究开发了一种使用卫星图像来估计红树林碳库存的模型. 这些发现表明,遥感数据可以准确地绘制森林生物质和碳捕获潜力.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 林业林业 林业 林业 林业
背景情况:
- 红树林是重要的碳汇,但对它们的碳储量进行准确估计是具有挑战性的.
- 多光谱卫星图像为大规模碳库存评估提供了一个潜在的解决方案.
- 之前的研究已经探索了用于森林碳估计的遥感,但需要针对红树林的特定模型.
研究的目的:
- 使用Landsat 8和Sentinel 2B卫星图像开发和验证一种模型,用于估计红树林中的碳库存.
- 为了比较来自这些卫星的不同植被指数在解释碳库存变化的有效性.
- 为评估其他地区的红树林碳捕获提供可复制的方法.
主要方法:
- 利用来自Landsat 8和Sentinel 2B卫星的多光谱图像在巴西格拉梅河红树林上空.
- 对生物质和碳库存进行实地清单测量 (地面和地下).
- 在谷歌地球引擎 (GEE) 平台上处理了植被指数,并使用线性/非线性回归来适应模型,根据R2.2进行选择.
主要成果:
- 现场数据显示,生物质碳总储量为22.27 Gg C (81.75 Gg CO2),在地面上方为13.85 Gg C,在地下为8.42 Gg C.
- 来自Landsat 8的规范差异植被指数 (NDVI) 最好解释了碳分布 (90.26%),而来自Sentinel 2B的土壤调整植被指数 (SAVI) 解释了80.76%.
- 据估计,Landsat 8的总植物碳储量为26.66 Gg C,Sentinel 2B的总碳储量为27.76 Gg C.
结论:
- 开发的模型有效地使用多谱卫星数据估计红树林碳库存.
- NDVI和SAVI是绘制这些生态系统中碳分布的有价值指数.
- 该方法在类似的红树林环境中对碳库存评估具有稳定性和适应性,特别是在美洲.
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