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Assimilation of remotely sensed canopy variables into crop models for an assessment of drought-related yield losses: A comparison of models of different complexity | IEEE Conference Publication | IEEE Xplore

Assimilation of remotely sensed canopy variables into crop models for an assessment of drought-related yield losses: A comparison of models of different complexity


Abstract:

The assimilation of biophysical crop canopy variables retrieved from remotely sensed data into two crop models of differing degree of complexity is assessed in this study...Show More

Abstract:

The assimilation of biophysical crop canopy variables retrieved from remotely sensed data into two crop models of differing degree of complexity is assessed in this study, in the context of the development of tools suitable for the estimation of yield losses due to drought. The more complex AQUACROP model, developed by FAO and the simpler SAFY model were employed to estimate wheat grain yield for an area in the Shaanxi Province in China through the assimilation of biophysical variables retrieved from Landsat and HJ1A and HJ1B satellites for three growing seasons (2013 to 2015). Results were validated with ground yield data.
Date of Conference: 10-15 July 2016
Date Added to IEEE Xplore: 03 November 2016
ISBN Information:
Electronic ISSN: 2153-7003
Conference Location: Beijing, China

References

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