通过动态偏移调整策略,提高远程感知表现学日期和大豆生理生长阶段之间的匹配程度
Siting Chen1, Qiuxiang Yi2, Fumin Wang3
1Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310058, China.
The Science of the total environment
|October 15, 2023
概括
本研究引入了一种动态偏移调整策略,以更好地将基于卫星的作物表现学与地面观测结合起来. 这种方法显著提高了跟踪大豆生长阶段的准确性,提高了农业管理和产量预测.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 农业学是一种农业学.
背景情况:
- 农作物现象学对于农业管理和产量预测至关重要.
- 卫星遥感可提供广域现象监测,但与地面观测的时间不一致.
- 卫星数据与地面真相生理阶段之间的精确同步对于可靠的作物监测至关重要.
研究的目的:
- 提出并测试一种动态偏移调整策略,以改善卫星衍生的现象日期与地面观测的作物生理阶段的对齐.
- 评估这一战略在提高美国大豆现象学监测准确性的有效性.
主要方法:
- 利用MODIS时间序列数据 (2000-2020年) 来获取美国16个州的大豆现象转型日期.
- 开发了一种动态偏移调整策略,以尽量减少卫星和地面观察生理生长阶段之间的根平均平方误差 (RMSE).
- 将调整的与未调整的卫星现象日期的性能进行了比较.
主要成果:
- 抵消调整策略显著改善了卫星表态和地面观测的大豆阶段之间的调整,将平均RMSE降低了高达58.58%.
- 季末日期 (EOS) 与生理"落叶"阶段的结合最强.
- 调整后的赛季开始日期 (SOS) 与地面观察到的"新兴"阶段相比,与调整后的上升日期相比,显示出更好的一致性,RMSE减少了56.52%.
结论:
- 动态偏移调整策略有效地弥合了卫星遥感和地面观测作物现象学之间的时间差距.
- 这种方法提高了基于卫星的作物监测的一致性和可靠性,特别是大豆.
- 这些发现为改进卫星表象数据提供了有价值的方法,用于改进农业应用.
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