Method and device for extracting vegetation phenological index based on remote sensing vegetation index
A vegetation index, remote sensing technology, applied in the field of remote sensing and vegetation ecology, can solve the problem of not dealing with pollution modules, etc.
Pending Publication Date: 2022-04-01
CHINA UNIV OF GEOSCIENCES (WUHAN)
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However, phenopix is mainly designed for high-frequency camera monitoring of vegetation greenness index, and there is no module for dealing with common pollution in remote sensing index
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[0071] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0072] Such as figure 1 As shown, this embodiment provides a method for extracting vegetation phenology indicators based on remote sensing vegetation index, which mainly includes the following steps:
[0073] Step 1: Prepare input data and preprocessing
[0074] In this embodiment, MOD13A1.006 enhanced vegetation index (enhanced vegetation index, EVI for short) is used to illustrate the usage method of the present invention. MOD13A1.006 EVI is one of the most commonly used vegetation indices in the study of surface vegetation dynamics, with a temporal and spatial resolution of 500m and 16 days. The CA-NS6 site MOD13A1.006 EVI data from 2010 to 2016 was used for subsequent analysis. The site is located at -98.9644°E, ...
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The invention provides a method and a device for extracting a vegetation phenological index based on a remote sensing vegetation index. The vegetation phenological index extraction precision is improved from the following aspects: (1) the vegetation index gets rid of the interference of various optical noisy points (such as cloud, snow, aerosol, shadow and the like) by adopting a weight adjustment function; and (2) rough fitting and fine fitting are combined, so that vegetation phenological index extraction is excellent in multiple growing seasons or areas where vegetation types change. Rough fitting is used for capturing vegetation periodic signals and dividing growth cycles; fine fitting is used for capturing rapid changes of vegetation growth cycle key points in each growth cycle; and (3) various weight adjustment, rough fitting, fine fitting and vegetation phenology extraction methods are fused, and the uncertainty of the extracted vegetation phenology indexes is quantified. The method can be applied to dynamic monitoring of key turning points of growth cycles of ecological systems such as forests, grassland and farmlands, and production practice is guided.
Description
technical field [0001] The invention relates to the fields of remote sensing and vegetation ecology, in particular to a method and a device for extracting vegetation phenology indicators based on remote sensing vegetation indices. Background technique [0002] Remote sensing vegetation index data provide an effective means for global large-scale, long-term monitoring of vegetation activities and vegetation phenology indicators. However, these data are often polluted by noises such as clouds, snow, aerosols, shadows, etc., making accurate extraction of phenological data challenging. Even for the MODIS remote sensing vegetation index with better quality among many satellite products, only 44% of the observations are not polluted. How to effectively denoise the vegetation index is the main problem to be faced in the extraction of vegetation phenology indexes. [0003] At present, the most popular extraction software of vegetation phenology indicators in the world are TIMESAT,...
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Inventor 孔冬冬谢宇轩顾西辉刘剑宇罗思嘉熊力
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)