雪:一个开源工具包,用于预处理中国高芬系列数据
Debao Yuan1, Liuya Zhang1, Jiantao Dong2
1College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China.
PloS one
|November 13, 2024
概括
一个新的工具包简化了来自中国的大型遥感数据流的处理.
科学领域:
- 地球科学 地球科学 地球科学
- 遥感技术 遥感技术 遥感技术
- 地理空间数据分析.
背景情况:
- 中国的高分辨率地球观测系统 (CHEOS) 计划在卫星遥感方面取得了重大进展.
- CHEOS程序从众多传感器生成大量的工程数据,需要高效的数据处理.
- 在遥感应用中,将工程数据处理为物理数据对于随后的分析和解释至关重要.
研究的目的:
- 为 CHEOS 遥感数据开发一个用户友好的,一键批量预处理工具包.
- 为了应对CHEOS程序产生的大量数据流的处理挑战.
- 为了促进原始工程数据转化为可用于研究人员的物理数据.
主要方法:
- 使用IDL语言和环境开发一键批量预处理工具包.
- 将IDL与其他编程语言集成以增强功能.
- 专注于高芬 (GF) 系列卫星工程数据的高效处理.
主要成果:
- 成功创建了一个工具包,能够单击批量预处理CHEOS遥感数据.
- 展示工具包将工程数据转换为物理数据的能力.
- 展示使用多个CHEOS卫星数据的应用示例.
结论:
- 开发的工具集有效地管理和处理大量的CHEOS遥感数据.
- 该工具简化了预处理工作流程,使卫星数据更容易进行分析.
- 该工具包支持更广泛地利用来自中国高分辨率地球观测系统的数据.
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