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- W4312762482 abstract "Shape model is a typical method of using long-time satellite and ground observation phenological data to inverse the growth trajectory curve of specific vegetation index, and fitting the index curve of observation area with this trajectory curve, to obtain the crop phenological period. This method can effectively avoid the interference of local abnormal observations. The traditional shape model method only uses the daily average temperature to reflect the accumulated growing degree days of crops, and it is difficult to accurately quantify the contribution of temperature factors to crop growth. Therefore, this paper proposes a shape model based on continuous accumulated growing degree days to extract the phenological period. In this paper, taking the extraction of early rice phenology as an example, four key phenological periods, such as tillering, heading, and flowering, were calculated by using MODIS daily products and the observed temperature data on the ground. The results show that the phenological accuracy extracted by continuous accumulated growing degree days was better than the daily average temperature." @default.
- W4312762482 created "2023-01-05" @default.
- W4312762482 creator A5035157720 @default.
- W4312762482 date "2022-07-17" @default.
- W4312762482 modified "2023-10-17" @default.
- W4312762482 title "A Improved Shape Model for Phenology Detection of Early Rice" @default.
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- W4312762482 doi "https://doi.org/10.1109/igarss46834.2022.9884239" @default.
- W4312762482 hasPublicationYear "2022" @default.
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