A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Filters
Assessment of FSDAF Accuracy on Cotton Yield Estimation Using Different MODIS Products and Landsat Based on the Mixed Degree Index with Different Surroundings
2021
Sensors
The impact on the accuracy of yield estimation of the different Landsat reference dates, as well as the degree of mixing of the two MODIS products, were evaluated. ...
A mixed degree index (MDI) was constructed to evaluate the accuracy and time-series fusion results of the different cotton plots, after which the different yield estimation models were compared. ...
Acknowledgments: We thank Xiaolin Zhu for the FSDAF code and Ted Huffman (retired) form Agriculture and Agri-Food Canada for providing presentation and linguistic assistance during manuscript revision. ...
doi:10.3390/s21155184
fatcat:vurtsndap5g5pkuznzxfnisbvi