Vegetation biomass automatic monitoring method and system based on machine learning
The invention relates to a vegetation biomass automatic monitoring method and system based on machine learning. The method comprises the following steps: acquiring an image of a vegetation area to be monitored and vegetation spectral reflectivity data; preprocessing the image and the vegetation spec...
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| creator | YUAN CHUANGCHUANG GAO FANGYU HASSBARGEN SONG SHUANG WANG HAI LIU TONGHAI MENG ZHUOQIANG SHI HONGXIAO |
| description | The invention relates to a vegetation biomass automatic monitoring method and system based on machine learning. The method comprises the following steps: acquiring an image of a vegetation area to be monitored and vegetation spectral reflectivity data; preprocessing the image and the vegetation spectral reflectivity data; segmenting the preprocessed image into two parts of vegetation and soil by adopting a maximum class variance method, and extracting vegetation coverage data from the segmented image; carrying out vegetation index calculation on the preprocessed vegetation spectral reflectivity data by adopting a wave band operation method to obtain vegetation index data; and establishing a multiple regression linear estimation model based on machine learning according to the vegetation coverage data and the vegetation index data, and obtaining vegetation biomass data of the vegetation region to be monitored according to the multiple regression linear estimation model based on machine learning. According to t |
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The method comprises the following steps: acquiring an image of a vegetation area to be monitored and vegetation spectral reflectivity data; preprocessing the image and the vegetation spectral reflectivity data; segmenting the preprocessed image into two parts of vegetation and soil by adopting a maximum class variance method, and extracting vegetation coverage data from the segmented image; carrying out vegetation index calculation on the preprocessed vegetation spectral reflectivity data by adopting a wave band operation method to obtain vegetation index data; and establishing a multiple regression linear estimation model based on machine learning according to the vegetation coverage data and the vegetation index data, and obtaining vegetation biomass data of the vegetation region to be monitored according to the multiple regression linear estimation model based on machine learning. 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The method comprises the following steps: acquiring an image of a vegetation area to be monitored and vegetation spectral reflectivity data; preprocessing the image and the vegetation spectral reflectivity data; segmenting the preprocessed image into two parts of vegetation and soil by adopting a maximum class variance method, and extracting vegetation coverage data from the segmented image; carrying out vegetation index calculation on the preprocessed vegetation spectral reflectivity data by adopting a wave band operation method to obtain vegetation index data; and establishing a multiple regression linear estimation model based on machine learning according to the vegetation coverage data and the vegetation index data, and obtaining vegetation biomass data of the vegetation region to be monitored according to the multiple regression linear estimation model based on machine learning. 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The method comprises the following steps: acquiring an image of a vegetation area to be monitored and vegetation spectral reflectivity data; preprocessing the image and the vegetation spectral reflectivity data; segmenting the preprocessed image into two parts of vegetation and soil by adopting a maximum class variance method, and extracting vegetation coverage data from the segmented image; carrying out vegetation index calculation on the preprocessed vegetation spectral reflectivity data by adopting a wave band operation method to obtain vegetation index data; and establishing a multiple regression linear estimation model based on machine learning according to the vegetation coverage data and the vegetation index data, and obtaining vegetation biomass data of the vegetation region to be monitored according to the multiple regression linear estimation model based on machine learning. According to t</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Vegetation biomass automatic monitoring method and system based on machine learning |
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