在美国中西部农业生态系统中,土壤深红色太阳诱导的叶绿素光和植被指数
Genghong Wu1,2,3, Kaiyu Guan4,5,6,7, Hyungsuk Kimm2,8
1Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Scientific data
|February 22, 2024
概括
这项研究介绍了美国玉米带作物的长期地面远红色太阳诱导的叶绿素光 (SIF) 和植被指数数据. 这一数据集有助于理解SIF.
科学领域:
- 生态生态学 生态生态学
- 植物生理学 植物生理学
- 遥感 遥感 遥感 遥感
背景情况:
- 太阳诱导的叶绿素光 (SIF) 提供了对陆地生态系统光合作用的见解.
- 目前的卫星SIF产品在机械研究的时空分辨率上存在局限性.
- 基于地面的SIF测量对于验证卫星数据和理解SIF-光合作用关系至关重要.
研究的目的:
- 呈现和分析基于地面远红色SIF (SIF760) 和植被指数 (VIs) 的综合数据集.
- 为验证卫星SIF产品和理解SIF光合作用机制提供数据集.
- 为在各种作物物种和条件中解释深红色SIF建立基础.
主要方法:
- 从大豆,玉米和杂草 (2016-2021) 收集了15个现场年的地面SIF760和VI数据.
- 开发了详细的数据处理协议,包括检索方法和校准调整.
- 升级了nadir SIF足迹,以匹配的协变足迹,以便进行综合分析.
主要成果:
- 创建了一个强大的长期数据集,包括地面远红色的SIF和VI.
- 该数据集涵盖了美国玉米带内的多种作物类型.
- 处理协议解决了与地面和卫星SIF足迹相匹配的挑战.
结论:
- 本文所介绍的数据集是深红色SIF解释的宝贵资源.
- 它有助于对深红色SIF和树冠光合作用之间的关系有机理解.
- 这项工作支持改善卫星SIF产品验证和生态系统研究中的应用.
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