遥感算法用于获取全球范围的海面太阳辐射辐射

遥感算法用于获取全球范围的海面太阳辐射辐射

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Saber Aradpour¹, Zhiqiang Deng²

¹Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, USA.

Environmental monitoring and assessment

|October 21, 2023

概括

一个新的遥感算法,LSU模型,使用XGBoost.com准确地检索海面太阳辐射 (SR). 它确定了主要的大气和海洋因素,提供全球适用的高分辨率SR数据.

科学领域:

海洋学海洋学海洋学
大气科学大气科学
遥感遥感遥感遥感

背景情况:

准确的海面太阳辐射 (SR) 数据对于各种应用至关重要.
现有的模型可能缺乏准确性或全球适用性.

研究的目的:

开发和验证一种新的遥感 (RS) 算法,用于检索即时的海面太阳辐射 (SR).
确定影响SR的关键因素,并评估模型的全球适用性.

主要方法:

在RStudio中使用XGBoost (XGB) 包进行算法开发.
整合了九个关键的RS参数,包括光合作用可用的辐射 (PAR),瞬间PAR (iPAR),离开水的反射率,斯特罗姆,气溶光学厚度 (aot_869) 和度.
使用可用的RS数据和地面真实太阳辐射数据训练了LSU模型.

主要成果:

在LSU模型中,PAR,iPAR,度和aot_869是最有影响力的参数.
气溶光学厚度 (aot_869) 是主要的大气因素,而 PAR, iPAR 和度是关键的海洋因素.
与现有的SR模型相比,LSU模型显示出更高的精度和更好的分辨率 (1x1公里).

结论:

伦敦大学的模型在科学上是合理的,它结合了主要的SR源和沉没因素.
该模型在技术上是准确的,并且可以在全球范围内用于检索即时的SR数据.
这个算法为在需求时获得全球范围的SR数据提供了一个有价值的工具.

关键词:

遥感是一种远程传感.一个沉没的水槽太阳辐射的强度是多少源头源头源头来源一个XGBoost模型.

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