SOIL HEAVY METAL STRESS IDENTIFICATION METHOD BASED ON LONG TIME SERIES NDVI
A soil heavy metal stress identification method based on a long time series NDVI, which comprises the steps of remotely sensed image preprocessing, NDVI long time series construction, EEMD decomposition, statistical descriptive metric calculation, seasonal average model construction, soil heavy meta...
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Main Authors | , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English French |
Published |
16.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A soil heavy metal stress identification method based on a long time series NDVI, which comprises the steps of remotely sensed image preprocessing, NDVI long time series construction, EEMD decomposition, statistical descriptive metric calculation, seasonal average model construction, soil heavy metal stress series identification, soil heavy metal stress stable feature extraction, actual measurement of ground data, and soil heavy metal stress level monitoring. The present method utilizes an NDVI long time series, and stress spectrum characteristics and time characteristics are combined, mitigating the defect of a lack of time characteristics in a single time phase; comprehensive EEMD decomposition and seasonal average model construction are integrated, and the problem of noise residue is solved, better facilitating the capture of the long-terms effects of soil heavy metal stress, and implementing identification and extraction of soil heavy metal stress; crop phenology is intregrated, stable characteristic metr |
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Bibliography: | Application Number: WO2024CN70257 |