基于从高分辨率遥感数据获得的混合分解的中国典型草原的综合植被覆盖
1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
The Science of the total environment
|September 2, 2023
概括
高分辨率卫星数据准确评估了中国
科学领域:
- 生态遥感和植被监测.
- 生态系统评估和生物多样性研究.
背景情况:
- 草原是中国最大的生态系统,需要有效的监测来支持政策.
- 综合植被覆盖 (IVC) 是草原健康和管理的关键指标.
研究的目的:
- 开发和验证一种使用高分辨率卫星数据进行草原监测的方法.
- 评估中国不同草原地区的综合植被覆盖面 (IVC).
- 分析IVC,热水条件和草原生物多样性之间的关系.
主要方法:
- 利用了来自高芬-1 (GF-1) 和高芬-6 (GF-6) 卫星 (16米分辨率) 的多谱数据.
- 应用混合像素分解模型来估计植被覆盖面.
- 基于植被覆盖面和草原面积比率计算的IVC,与地面数据验证.
主要成果:
- IVC与区域热水系统和植被息地有很强的相关性.
- 由于有利的条件,Yichang的草原显示了最高的IVC (80.06%);由于降水稀少,Alxa的IVC最低 (15.58%).
- 草原草地表现出最丰富的生物多样性,在甘省 (90种) 和胡伦布尔 (49种) 发现了显著的物种多样性.
结论:
- 高分辨率卫星数据为大规模草原IVC评估提供了一种可行的方法.
- 水热条件是草原IVC和中国各地生物多样性的关键驱动因素.
- 该研究为有效的草原生态监测和政策制定提供了强有力的框架.
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