%0 Journal Article %A Mingjun DING %A Qian CHEN %A Liangjie XIN %A Lanhui LI %A Xiubin LI %T Spatial and temporal variations of multiple cropping index in China based on SPOT-NDVI during 1999-2013 %D 2015 %R 10.11821/dlxb201507005 %J Acta Geographica Sinica %P 1080-1090 %V 70 %N 7 %X

In this paper, the smooth crops growth NDVI curves from 1999 to 2013 were rebuilt by the S-G techniques, with the combination of 10-day SPOT time-series NDVI data from 1998 to 2013 with the spatial resolution of 1 km and land use data in 2000, 2005 and 2010. Spatial and temporal changes of multiple cropping index (MCI) from 1999 to 2013 in China were extracted by a difference algorithm. The results are as follows: (1) The total precision of sample validation based on visual identification was 91.95%, and the slope of linear regression of the MCI between remotely sensed data and statistical data was 0.73 (R=0.775, P<0.001), suggesting that this method is an effective way to extracting spatial information of the MCI for agricultural and land management. (2) From the north to the south of China, the MCI gradually becomes more and more complex. The percentages of the single, double and triple cropping system occupying the total cropland were 43.48%, 56.39% and 0.13%, respectively in China. (3) From 1999 to 2013, the overall cropping index increased with an annual rate of 1.29% (P<0.001) in China, while it exhibited significant differentiation in different zones. The area with a significant decreasing trend occupied 2.12% (P<0.1) of the total cropland and was found at the borders of Hebei, Beijing and Tianjin, central Anhui, the Chengdu Plain, the Poyang Lake Plain, northern and southern Hunan, and central Guangxi. The area with a significant increasing trend occupied 16.40% (P<0.1) of the total cropland and was distributed in eastern Gansu, the Weihe Plain of Shaanxi, western Shanxi, the borders of Hebei, Shandong and Tianjin, the Shandong Peninsula, and the Jianghan Plain. (4) Terrain and economic development level played an important role in the regional differentiation of MCI change. There is a positive correlation between terrain and the inter-annual changes of MCI, and a negative correlation between economic development level and the inter-annual changes of MCI.

%U https://www.geog.com.cn/EN/10.11821/dlxb201507005