一种中国区域30米8天时空连续的叶面积指数产品生成方法
By fusing GLASS LAI and Landsat data and utilizing a random forest model and spatiotemporal fusion method, a high-resolution 30-meter, 8-day spatiotemporally continuous leaf area index (LAI) product was generated. This solved the problems of insufficient resolution and continuity in existing technologies and achieved efficient and accurate LAI product generation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUHAN UNIV
- Filing Date
- 2023-01-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to generate high-resolution, spatiotemporally continuous leaf area index products, especially due to missing values and coarse spatial resolution limitations in Landsat data, leading to inaccurate ecosystem models and uncertainties in data assimilation algorithms.
By integrating GLASS LAI products and long-term Landsat observation data, and constructing a random forest model and spatiotemporal fusion method, an 8-day spatiotemporal continuous leaf area index product with a resolution of 30 meters is generated. This includes linear unmixing and thin-plate spline function interpolation, and weighted calculation and GLASS LAI stretching are performed on cloud-polluted pixels.
The spatial resolution of LAI products has been improved to 30 meters, enabling the generation of spatiotemporally continuous LAI products, improving product production efficiency and accuracy, and enabling the handling of long-term data loss issues.
Smart Images
Figure CN115952738B_ABST