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An Improved Threshold Method to Detect the Phenology of Winter Wheat | IEEE Conference Publication | IEEE Xplore

An Improved Threshold Method to Detect the Phenology of Winter Wheat


Abstract:

Crop phenology information is an important agricultural information which can offer key references for agricultural production, field management, and planning decisions. ...Show More

Abstract:

Crop phenology information is an important agricultural information which can offer key references for agricultural production, field management, and planning decisions. Generally, it is also considered as an important parameter for crop models. It is of great theoretical and practical significance to understand the features of phenological changes in estimating and forecasting crop production, monitoring and protecting the ecological environment. In the past three decades, the development of remote sensing technology has provided a new means for phenological monitoring and research. The vegetation index (VI) produced by remote sensing data can accurately reflect the vegetation coverage information, which provides conditions for the use of remote sensing to monitor plant phenology. For regional scale, dynamic threshold is the most commonly used method. However, the value of dynamic threshold is usually determined by empirical value, which is lack of quantitative determination method. An improved method based on dynamic threshold method to extract the spatial and temporal pattern evolution of winter wheat SGS and EGS in the North China Plain by using MODIS EVI 8-day time series data and ground-observed phenology calendar data was provided. The regression model of threshold and phenological parameters was constructed based on the relationship between threshold value and corresponding date. The accuracy of the simulated phenological parameters, including the start time of growing season (SGS) and the end time of growing season (EGS), was verified by the ground observation phenological data. The results show that both SGS and EGS had a significant correlation with threshold value for winter wheat. The result of the accuracy verification shows that the phenological parameters for remote sensing inversion using this method have appropriate reliability and can replace the ground observation data. Finally, according to the threshold values determined by this method, spatial...
Date of Conference: 06-09 August 2018
Date Added to IEEE Xplore: 30 September 2018
ISBN Information:
Conference Location: Hangzhou, China

References

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