PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (11): 1874-1883.doi: 10.18306/dlkxjz.2020.11.008

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Cropping intensity based on MODIS data in China during 2001-2018

LI Yu1,2,3(), QIU Bingwen1,2,3,*(), HE Yuhua1,2,3, CHEN Gong1,2,3, YE Zhiyan1,2,3   

  1. 1. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China
    2. National Engineering Research Centre of Geospatial Information Technology, Fuzhou 350116, China
    3. The Academy of Digital China (Fujian), Fuzhou 350116, China
  • Received:2019-11-08 Revised:2020-10-08 Online:2020-11-28 Published:2021-01-28
  • Contact: QIU Bingwen E-mail:753575991@qq.com;qiubingwen@fzu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41771468);National Natural Science Foundation of China(41471362);Key Science and Technology Program of Fujian Province(2020N5002);Key Science and Technology Program of Fujian Province(2017I0008);Fuzhou University Science and Technology Project(GD1805)

Abstract:

Stability of cropping intensity of the cultivated land is related to the national food security of China, and it is of great significant to obtain detailed process information of the spatiotemporal change of cropping intensity in a timely and efficient manner. Based on the MODIS09A1 data of 500 m resolution in 2001-2018, this study mapped the spatiotemporal distribution of the national cropping intensity by using the fast automatic detection method of continuous wavelet transform, and examined the spatiotemporal change of cropping intensity and driving mechanisms by Mann-Kendall nonparametric test and heuristic segmentation method. The results show that the cropland multiple cropping index in China had risen steadily, and the average value of multiple cropping index had increased from 1.14 in 2001 to 1.30 in 2018. In 6% of the country's cultivated land area (about 135000 km2, equivalent to the area of Anhui Province), multiple cropping index changed significantly. The areas with multiple cropping index increase account for about 2/3 of the total area of multiple cropping index change, and the areas with decreased multiple cropping index account for about 1/3 of the total area of multiple cropping index change. The key regions with positive change are the Loess Plateau and the Gansu-Xinjiang region (from fallow to single cropping), and the Yellow River-Huai River-Hai River region (from single cropping to double cropping), and the changes mainly took place in 2004-2013. Since 2013, the national multiple cropping index has continued to increase. An important contributing factor is the continued increase in area of double cropping (converted from single cropping), which was mainly in the Yellow River-Huai River-Hai River region. Negative change mainly took place in the middle and lower reaches of the Yangtze River Basin where double cropping was partially replaced by single cropping in 2009-2013. Maintaining effective planting area of the cultivated land in the Loess Plateau and the Gansu-Xinjiang region and double cropping planting area of the cultivated land in the Yellow River- Huai River- Hai River region, and preventing the decline of multiple cropping of the middle and lower reaches of the Yangtze River Basin are of great significance for stabilizing the multiple cropping index and ensuring food security in China.

Key words: multiple cropping index, wavelet features-based method, fallow to single cropping, MOD09A1, China