PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (11): 1874-1883.doi: 10.18306/dlkxjz.2020.11.008
• Articles • Previous Articles Next Articles
LI Yu1,2,3(), QIU Bingwen1,2,3,*(
), HE Yuhua1,2,3, CHEN Gong1,2,3, YE Zhiyan1,2,3
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:
LI Yu, QIU Bingwen, HE Yuhua, CHEN Gong, YE Zhiyan. Cropping intensity based on MODIS data in China during 2001-2018[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1874-1883.
Fig.3
(a) Spatial distribution of cropping intensity and ground truth data of China's mainland, 2018; (b) Cropping intensity variations and changes in the proportion of single, double, triple, and fallow croplands in China, 2001-2018; (c) Field survey photographs in the Yellow River-Huai River-Hai River region and Inner Mongolia along the Great Wall"
Fig.4
Spatial distribution of cropping intensity in the Yellow River-Huai River-Hai River region (a), the Loess Plateau region (b), and the middle and lower reaches of the Yangtze River region (c); Cropping intensity variations and changes in the proportion of single, double, triple, and fallow croplands in the Loess Plateau region (d); and the middle and lower reaches of the Yangtze River region (e), 2001-2018"
Fig.6
(a) Spatiotemporal distribution of the significant trends of cropping intensity; (b) Proportion of significant trends of cropping intensity and their distributions; (c) Statistics of significant trends of cropping intensity, in the main agricultural production regions of China, 2001-2018"
[1] | Liu L, Xu X, Zhuang D, et al. Changes in the potential multiple cropping system in response to climate change in China from 1960-2010[J]. PLoS One, 2013,8(12):135-141. |
[2] | Liu L, Xiao X, Qin Y, et al. Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine[J]. Remote Sensing of Environment, 2020,239(5):111-124. |
[3] | Zhou D, An P, Pan Z, et al. Arable land use intensity change in China from 1985 to 2005: Evidence from integrated cropping systems and agro economic analysis[J]. Journal of Agricultural Science, 2012,150(2):179-190. |
[4] | Biradar C M, Xiao X. Quantifying the area and spatial distribution of double-and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005[J]. International Journal of Remote Sensing, 2011,32(2):367-386. |
[5] | Gray J, Friedl M, Frolking S, et al. Mapping Asian cropping intensity with MODIS[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014,7(8):3373-3379. |
[6] | Jain M, Mondal P, DeFries R S, et al. Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors[J]. Remote Sensing of Environment, 2013,134(16):210-223. |
[7] | Griffiths P, Nendel C, Hostert P. Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping[J]. Remote Sensing of Environment, 2019,220(9):135-151. |
[8] | Qiu B W, Huang Y Z, Chen C C, et al. Mapping spatiotemporal dynamics of maize in China from 2005 to 2017 through designing leaf moisture based indicator from normalized multi-band drought index[J]. Computers and Electronics in Agriculture, 2018,153(4):82-93. |
[9] | 左丽君, 张增祥, 董婷婷, 等. 耕地复种指数研究的国内外进展[J]. 自然资源学报, 2009,24(3):553-560. |
[ Zuo Lijun, Zhang Zengxiang, Dong Tingting, et al. Progress in the research of cultivated land multiple cropping index at home and abroad. Journal of Natural Resources, 2009,24(3):553-560. ] | |
[10] | Qiu B, Lu D, Tang Z, et al. Mapping cropping intensity trends in China during 1982-2013[J]. Applied Geography, 2017,79(12):212-222. |
[11] | Yan H, Liu F, Qin Y, et al. Tracking the spatio-temporal change of cropping intensity in China during 2000-2015[J]. Environmental Research Letters, 2018,14(3):035008. doi: 10.1088/1748-9326/aaf9c7. |
[12] | Li S, Li X, Sun L, et al. An estimation of the extent of cropland abandonment in mountainous regions of China[J]. Land Degradation & Development, 2018,29(5):1327-1342. |
[13] | 李卓, 刘淑亮, 孙然好, 等. 黄淮海地区耕地复种指数的时空格局演变[J]. 生态学报, 2018,38(12):4454-4460. |
[ Li Zhuo, Liu Shuliang, Sun Ranhao, et al. Identifying the temporal-spatial pattern evolution of the multiple cropping index in the Huang-Huai-Hai region. Acta Ecologica Sinica, 2018,38(12):4454-4460. ] | |
[14] | 蒋敏, 李秀彬, 辛良杰, 等. 南方水稻复种指数变化对国家粮食产能的影响及其政策启示[J]. 地理学报, 2019,74(1):34-45. |
[ Jiang Min, Li Xiubin, Xin Liangjie, et al. The impact of paddy rice multiple cropping index changes in Southern China on national grain production capacity and its policy implications. Acta Geographica Sinica, 2019,74(1):32-43. ] | |
[15] | 田罗, 周文佐, 何万华, 等. 2000—2016年四川省耕地种植指数时空变化及其自然潜力分析[J]. 中国生态农业学报, 2018,26(8):1206-1216. |
[ Tian Luo, Zhou Wenzuo, He Wanhua, et al. Temporal and spatial changes and natural potential of cultivated land planting index in Sichuan Province from 2000 to 2016. Chinese Journal of Eco-Agriculture, 2018,26(8):1206-1216. ] | |
[16] | 丁明军, 陈倩, 辛良杰, 等. 1999—2013年中国耕地复种指数的时空演变格局[J]. 地理学报, 2015,70(7):1080-1090. |
[ Ding Mingjun, Chen Qian, Xin Liangjie, et al. Spatial and temporal variations of multiple cropping index in China based on SPOT-NDVI during 1999-2013. Acta Geographica Sinica, 2015,70(7):1080-1090. ] | |
[17] | 彭代亮, 黄敬峰, 金辉民. 基于MODIS-NDVI的浙江省耕地复种指数监测[J]. 中国农业科学, 2006,39(7):1352-1357. |
[ Peng Dailiang, Huang Jingfeng, Jin Huimin. Monitoring of multiple cropping index of cultivated land in Zhejiang Province based on MODIS-NDVI. Scientia Agricultura Sinica, 2006,39(7):1352-1357. ] | |
[18] | Wang Y, Zhang J, Liu D, et al. Accuracy assessment of GlobeLand30 2010 land cover over China based on geographically and categorically stratified validation sample data[J]. Remote Sensing, 2018,10(8):1213. doi: 10.3390/rs10081213. |
[19] | 李世东. 中国退耕还林发展阶段研究[J]. 世界林业研究, 2003,16(1):36-41. |
[ Li Shidong. Study on the development stages of converting cropland for forest and grassland. World Forestry Research, 2003,16(1):36-41. ] | |
[20] | 封国林, 龚志强, 董文杰, 等. 基于启发式分割算法的气候突变检测研究[J]. 物理学报, 2005,54(11):5494-5499. |
[ Feng Guolin, Gong Zhiqiang, Dong Wenjie, et al. Abrupt climate change detection based on heuristic segmentation algorithm. Acta Physica Sinica, 2005,54(11):5494-5499. ] | |
[21] | 陈学庚, 赵岩. 新疆兵团农业机械化现状与发展趋势[J]. 华东交通大学学报, 2015,32(2):1-7. |
[ Chen Xuegeng, Zhao Yan. Status and development trend of agricultural mechanization in Xinjiang production and construction corps. Journal of East China Jiaotong University, 2015,32(2):1-7. ] | |
[22] | Qiu B, Chen G, Tang Z, et al. Assessing the Three-North Shelter Forest Program in China by a novel framework for characterizing vegetation changes[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017,133:75-88. |
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