A Research of Yield Estimation on Jiangi Early Rice Using MODIS Land Product
- DOI
- 10.2991/rsete.2013.26How to use a DOI?
- Keywords
- MODIS data, Double early rice, Yield estimation
- Abstract
The conventional multiband data need a lot of processing before application in rainy area. MODIS land products synthesis algorithm reduces the influence of cloud, aerosol and other factors in the greatest degree. MODIS vegetation index product was directly used to estimate total yield production of early rice in Jiangxi Province. The summation of pixel value of Enhanced vegetation index in each administrative division was taken as the metric. Correlation analysis of the total production of early rice versus metrics shows significantly related relationship. 7 estimation models were built based on regression equations. One optimal model was selected with an integrated consideration of their root mean square error and relative error in prefecture-level estimation. The applicability of the model was validated by province-level estimation test using the data of 2001 to 2004. The optimal model indicated that MODIS land product can be used in yield estimation and the enhanced vegetation index during the tillering and jointing stage were most appropriate for the estimation of the total rice production in Jiangxi Province. Provincial production estimation result is better than that of the prefecture-level estimation.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Liushui AU - Gao Xuehui AU - Huang Shu-e PY - 2013/08 DA - 2013/08 TI - A Research of Yield Estimation on Jiangi Early Rice Using MODIS Land Product BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 102 EP - 105 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.26 DO - 10.2991/rsete.2013.26 ID - Liushui2013/08 ER -