Method for production of high spatial and temporal resolution NDVI based on spatial and temporal weight

A time-space resolution and time resolution technology, applied in the field of multi-source remote sensing data fusion, can solve problems such as not considered, and achieve the effect of improving accuracy and fusion accuracy
CN107103584AInactive Publication Date: 2017-08-29BEIJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING NORMAL UNIVERSITY
Publication Date
2017-08-29
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The present invention provides a method for production of high spatial and temporal resolution NDVI (Normalized Difference Vegetation Index) based on spatial and temporal weight. The method comprises: NDVI data with a low spatial and temporal resolution at t1 time, NDVI data with a high spatial and temporal resolution and NDVI data with a low spatial and temporal resolution at tp time are subjected to mixed pixel decomposition and spatial interpolation to obtain two NDVI increments with the high spatial and temporal resolution data in time domain; employing Bayesian model average method to perform weight combination calculation of the two DNVI increments, and obtaining the NDVI synthesis increment of each pixel; and finally adding the NDVI synthesis increment to the NDVI with the high spatial and temporal resolution to obtain required NDVI with the high spatial and temporal resolution. The two NDVI increments are subjected to Bayesian integration, and the spatial and temporal relationship between geographical data is fully employed to provide an effective method for production of vegetation indexes with the high spatial and temporal resolution.
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Description

technical field

[0001] The invention relates to a multi-source remote sensing data fusion method, which is mainly used to produce a normalized difference vegetation index (NDVI) with high temporal and spatial resolution, and belongs to the category of temporal and spatial data fusion. Background technique

[0002] The Normalized Difference Vegetation Index (NDVI for short) is a widely used vegetation index. NDVI values ​​can reflect the growth status of vegetation and are directly related to physiological parameters of vegetation such as chlorophyll content, water content and leaf area index.

[0003] CN 102831310 B discloses a method for constructing high-spatial-resolution time-series data. Its background technology section describes the relevant knowledge of NDVI data in detail, and mentions two existing NDVI data: Landsat NDVI data and MODIS NDVI data data. Among them, the spatial resolution of NDVI values ​​in Landsat NDVI data is 30m*30m, and the time resolution is 1...

Claims

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