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Journal of Integrative Agriculture  2017, Vol. 16 Issue (02): 348-359    DOI: 10.1016/S2095-3119(15)61304-1
Section 3: Cropland cover mapping and change Advanced Online Publication | Current Issue | Archive | Adv Search |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data
TAO Jian-bin1, 2, WU Wen-bin1, 2, ZHOU Yong2, WANG Yu2, JIANG Yan2

1 Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China

2 Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R.China

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Abstract  By employing the unique phenological feature of winter wheat extracted from peak before winter (PBW) and the advantages of moderate resolution imaging spectroradiometer (MODIS) data with high temporal resolution and intermediate spatial resolution, a remote sensing-based model for mapping winter wheat on the North China Plain was built through integration with Landsat images and land-use data.  First, a phenological window, PBW was drawn from time-series MODIS data.  Next, feature extraction was performed for the PBW to reduce feature dimension and enhance its information.  Finally, a regression model was built to model the relationship of the phenological feature and the sample data.  The amount of information of the PBW was evaluated and compared with that of the main peak (MP).  The relative precision of the mapping reached up to 92% in comparison to the Landsat sample data, and ranged between 87 and 96% in comparison to the statistical data.  These results were sufficient to satisfy the accuracy requirements for winter wheat mapping at a large scale.  Moreover, the proposed method has the ability to obtain the distribution information for winter wheat in an earlier period than previous studies.  This study could throw light on the monitoring of winter wheat in China by using unique phenological feature of winter wheat.
Keywords:  time-series MODIS data      phenological feature      peak before wintering\ winter wheat mapping  
Received: 23 October 2015   Accepted:
Fund: 

This work was supported by the open research fund of the Key Laboratory of Agri-informatics, Ministry of Agriculture and the fund of Outstanding Agricultural Researcher, Ministry of Agriculture, China.

Corresponding Authors:  WU Wen-bin, E-mail: wuwenbin@caas.cn   
About author:  TAO Jian-bin, E-mail: taojb@mail.ccnu.edu.cn

Cite this article: 

TAO Jian-bin, WU Wen-bin, ZHOU Yong, WANG Yu, JIANG Yan. 2017. Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data. Journal of Integrative Agriculture, 16(02): 348-359.

Becker-Reshef I, Vermote E, Lindeman M, Justice C. 2010. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment, 114, 1312–1323.
Chen S N, Zhao Y X, Shen S H. 2012. Crop classification by remote sensing based on spectral analysis. Transactions of the Chinese Society of Agricultural Engineering, 28, 154–160. (in Chinese)
Huang Q, Li D D, Chen Z X, Liu J, Wang L M. 2012. Monitoring of planting area and growth condition of winter wheat in China based on MODIS data. Transactions of the Chinese Society of Agricultural Machinery, 7, 163–167. (in Chinese)
Jönsson P, Klundh E L. 2004. TIMESAT - A program for analyzing time-series of satellite sensor data. Computers & Geosciences, 30, 833–845.
Li Y, Chen X W, Duan H W, Shen Y. 2010. Application of multi-source and multi-temporal remote sensing data in winter wheat identification. Geography and Geo-Information Science, 4, 47–49. (in Chinese)
Lin W P, Wang C Y, Huang J F, Liu Y L, Zhao M, Liu D Y, Gao J. 2008. Winter wheat identification based on MODIS data and fuzzy-ARTMAP. Transactions of the Chinese Society of Agricultural Engineering, 3, 173–178. (in Chinese)
Liu J Y, Kuang W H, Zhang Z X. 2014. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Journal of Geographical Science, 1, 3–14. (in Chinese)
Lu L, Wang C, Guo H, Li Q. 2014. Detecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain. Geocarto International, 29, 244–255.
Lu L L, Guo H D. 2009. Extraction method of winter wheat phenology from time series of SPOT/VEGETATION data. Transactions of the Chinese Society of Agricultural Engineering, 6, 174–179. (in Chinese)
Pan X P, Shen Y J, Liu F G, Wu X F, Kondoh A, Li G X. 2015. Evaluation and evaluation of the spatio-temporal patterns of winter wheat based in the North China Plain. Chinese Journal of Eco-Agriculture, 4, 497–505. (in Chinese)
Pan Y, Li L, Zhang J, Liang S, Zhu X, Sulla-Menashe D. 2012. Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index. Remote Sensing of Environment, 119, 232–242.
Pan Y Z, Li L, Zhang J S, Liang S L, Hou D. 2011. Crop area estimation based on MODIS-EVI time series according to distinct characteristics of key phenology phases: A case study of winter wheat area estimation in small-scale area. Journal of Remote Sensing, 3, 578–594. (in Chinese)
Ren J, Chen Z, Zhou Q, Tang H. 2008. Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation, 10, 403–413.
Shannon C E. 1948.  A mathematical theory of communication. 

Bell System Technical Journal27, 379–423.
Solano R, Didan K, Jacobson A, Huete A. 2010. MODIS Vegetation Index User’s Guide (MOD13 Series). Vegetation Index and Phenology Lab, The University of Arizona. pp. 1–38.
Tang H J, Wu W B, Yang P, Zhou Q B, Chen Z X. 2010. Recent progresses in monitoring crop spatial patterns by using remote sensing technologies. Scientia Agricultura Sinica, 43, 2879–2888. (in Chinese)
Wardlow B D, Egbert S L. 2007. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of Environment, 112, 1096–1116.
Wardlow B D, Egbert S L, Kastens J H. 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment, 108, 290–310.
Wu B F, Meng J H, Li Q Z. 2010. Review of overseas crop monitoring system with remote sensing. Advances in Earth Science, 25, 1003–1012. (in Chinese)
Xu W B, Zhang G P, Fan J L, Qian Y L. 2007. Remote sensing monitoring of winter wheat areas using MODIS data. Transactions of the Chinese Society of Agricultural Engineering, 12, 144–149. (in Chinese)
Yang P, Wu W B, Tang H J, Zhou Q B, Zou J Q, Zhang L. 2007. Mapping spatial and temporal variations of leaf area index for winter wheat in north China. Agricultural Sciences in China, 6, 1437–1443.
Zhang M W, Zhou Q B, Chen Z X, Liu J, Zhou Y, Cai C F. 2008. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data. International Journal of Applied Earth Observations and Geoinformation, 10, 476–485.
Zhang M W, Zhou Q B, Chen Z X, Zhou Y, Liu J, Gong P. 2008. Method for identifying plants analyzed by time series data based on MODIS. Chinese Journal of Agricultural Resources and Regional Planning, 1, 31–35. (in Chinese)
Zhang X, Shuai T, Yang H, Huang C P. 2010. Winter wheat planting area extraction based on MODIS EVI image time series. Transactions of the Chinese Society of Agricultural Engineering, S1, 220–224. (in Chinese)
Zhao J J, Liu L Y, Xu Z W, Jiao Q J, Peng D L, Hu Y, Liu S M. 2011. Monitoring winter wheat GPP in Huabei Plain using remote sensing and flux tower. Transactions of the Chinese Society of Agricultural Engineering, 27, 346–351. (in Chinese)
 
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