Estimating winter wheat biomass by assimilating leaf area index derived from fusion of Landsat-8 and MODIS data
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- 作者：Taifeng Donga ; Jiangui Liua ; Budong Qiana ; Ting Zhaoa ; Qi Jinga ; Xiaoyuan Genga ; Jinfei Wangb ; Ted Huffmana ; Ted.Huffman@agr.gc.ca" class="auth_mail" title="E-mail the corresponding author ; Jiali Shanga ; Jiali.Shang@AGR.GC.CA" class="auth_mail" title="E-mail the corresponding author
- 关键词：Crop model ; Biomass ; Data fusion ; Data assimilation ; Leaf area index
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：49
- 期：Complete
- 页码：63-74
- 全文大小：1870 K
文摘
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Evaluated combining data fusion and a crop growth model for biomass estimation.
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Landsat-8 and MODIS data were blended for high spatial-temporal crop observations.
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Winter wheat phenology was captured effectively with the fusion dataset.
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The SAFY model performed well for biomass estimation through data assimilation.
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Data fusion and assimilation could improve crop growth monitoring and modelling