Journal of Integrative Agriculture ›› 2021, Vol. 20 ›› Issue (2): 424-437.DOI: 10.1016/S2095-3119(20)63458-X

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  • 收稿日期:2020-06-05 出版日期:2021-02-01 发布日期:2021-01-28

Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015

CAO Dan1, 2*, FENG Jian-zhong3*, BAI Lin-yan1, 2, XUN Lan1, 2, JING Hai-tao4, SUN Jin-ke4, ZHANG Jia-hua1, 2   

  1. 1 Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R.China 
    2 University of Chinese Academy of Sciences, Beijing 100094, P.R.China 
    3 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China 
    4 School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, P.R.China
  • Received:2020-06-05 Online:2021-02-01 Published:2021-01-28
  • Contact: BAI Lin-yan, E-mail: baily@aircas.ac.cn; ZHANG Jia-hua, E-mail: zhangjh@radi.ac.cn
  • Supported by:
    This work was supported by the National Key Research and Development Program of China (2016YFD0300110 and 2016YFD0300101), the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2016-AII) and the Science and Technology Project of Xinjiang Production and Construction Corps, China (2019AB002).

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Abstract: Accurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses approach, that is, the rice zoning adaptability criteria and dynamic harvest index (RZAC-DHI), was established, which can effectively simulate the rice cultivation area and yield at the municipal level. The RZAC was used to extract the rice area using Moderate Resolution Imaging Spectroradiometer time-series data and phenological information. The DHI was calculated independently, and then yield was obtained based on the DHI and net primary productivity (NPP). Based on the above results, we analyzed the spatial–temporal patterns of the rice cultivation area and yield in Northeast China (NEC) during 2000–2015. The results revealed that the methods established in this study can effectively support the yearly mapping of the rice area and yield in NEC, the average precisions of which exceed 90 and 80%, respectively. The rice planting areas are mainly located on the Sanjiang, Songnen and Liaohe plains, China, which are distributed along the Songhua and Liaohe rivers. The rice cultivation area and yield in this region increased significantly from 2000 to 2015, with increases of nearly 58 and 90%, respectively. The rice crop area and yield increased the fastest in Heilongjiang Province, China, whereas small changes occurred in Jilin and Liaoning provinces, China. Their gravity centers exhibited evident northward and eastward shifts, with offset distances of 107 and 358 km, respectively. Moreover, Heilongjiang Province has gradually become the new main rice production region. The methodologies used in this study provide a valuable reference for other related studies, and the spatial-temporal variation characteristics of the rice activities have raised new attention as to how these shifts affect national food security and resource allocation.

Key words: RZAC , dynamic HI , rice cultivation area , yield , spatial-temporal change