[1] Tang H-J (唐华俊), Wu W-B (吴文斌), Yang P (杨鹏), et al. Recent progresses in monitoring crop spatial patterns by using remote sensing technologies. Sientia Agricultura Sinica (中国农业科学), 2010, 43(14): 2879-2888 (in Chinese) [2] Chinese Ministry of Agriculture (中国农业部). National sustainable development plan for agriculture (2015-2030). Applicable Technologies for Rural Areas (农村实用技术), 2016(4): 5-15 (in Chinese) [3] Brookes G, Barfoot P. GM crops: Global socio-economic and environmental impacts 1996-2008. Technical Report, 2009, 11: 567-596 [4] Jin N, Tao B, Ren W, et al. Mapping irrigated and rainfed wheat areas using multi-temporal satellite data. Remote Sensing, 2016, 8: 207-225 [5] Mao L-X (毛留喜), Zhao J-F (赵俊芳), Xu L-L (徐玲玲), et al. Climatic suitability of spring maize planted in the “sickle bend” area of China and regulation suggestion. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(12): 3935-3943 (in Chinese) [6] Tang H-J (唐华俊), Wu W-B (吴文斌), Yu Q-Y (余强毅), et al. Key research priorities for agricultural land system studies. Sientia Agricultura Sinica (中国农业科学), 2015, 48(5): 900-910 (in Chinese) [7] Qi L (齐 腊), Zhao C-J (赵春江), Li C-J (李存军), et al. Accuracy of winter wheat identification based on multi-temporal images. Chinese Journal of Applied Ecology (应用生态学报), 2008, 19(10): 2201-2208 (in Chinese) [8] Zhong LH, Gong P, Biging GS. Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery. Remote Sensing of Environment, 2014, 140: 1-13 [9] Liu J (刘 佳), Wang L-M (王利民), Teng F (滕 飞), et al. Impact of red-edge waveband of RapidEye satellite on estimation accuracy of crop planting area. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2016, 32(13): 140-148 (in Chinese) [10] Huang Q (黄 青), Tang H-J (唐华俊), Wu W-B (吴文斌), et al. Remote sensing based dynamic changes analysis of crop distribution pattern: Taking Northeast China as an example. Sientia Agricultura Sinica (中国农业科学), 2013, 46(13): 2668-2676 (in Chinese) [11] Schultz B, Immitzer M, Formaggio A, et al. Self-guided segmentation and classification of multi-temporal Landsat8 images for crop type mapping in Southeastern Brazil. Remote Sensing, 2015, 7: 14482-14508 [12] Liu K-B (刘克宝), Liu S-B (刘述彬), Lu Z-J (陆忠军), et al. Extraction on cropping structure based on high spatial resolution remote sensing data. Chinese Journal of Agricultural Resources and Regional Planning (中国农业资源与区划), 2014, 35(1): 21-26 (in Chinese) [13] Zheng C-C (郑长春), Wang X-Z (王秀珍), Huang J-F (黄敬峰). Decision tree algorithm of automatically extracting paddy rice information from SPOT-5 images based on characteristic bands. Remote Sensing Technology and Application (遥感技术与应用), 2008, 23(3): 294-299 (in Chinese) [14] Murakami T, Ogawa S, Ishitsuka N, et al. Crop discrimination with multitemporal SPOT/HRV data in the Saga Plains, Japan. International Journal of Remote Sensing, 2001, 22: 1335-1348 [15] Hu Q, Wu WB, Song Q, et al. Extending the pairwise separability index for multicrop identification using time-series MODIS images. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54: 6349-6361 [16] Liu J, Huffman T, Shang J, et al. Identifying major crop types in Eastern Canada using a fuzzy decision tree classifier and phenological indicators derived from time-series MODIS data. Canadian Journal of Remote Sen-sing, 2016, 42: 259-273 [17] Hu Q, Wu WB, Song Q, et al. Extending the pairwise separability index for multicrop identification using time-series MODIS images. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54: 6349-6361 [18] Hao W-P (郝卫平), Mei X-R (梅旭荣), Cai X-L (蔡学良), et al. Crop planting extraction based on multi-temporal remote sensing data in Northeast China. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2011, 27(1): 201-207 (in Chinese) [19] Chang J, Hansen MC, Pittman K, et al. Corn and soybean mapping in the United States using MODIS time-series data sets. Agronomy Journal, 2007, 99: 1654-1664 [20] Li X-C (李鑫川), Xu X-G (徐新刚), Wang J-H (王纪华), et al. Crop classification recognition based on time-series images from HJ satellite. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2013, 29(2): 169-176 (in Chinese) [21] Yang X-J (杨晓娟), Liu Y (刘 园), Bai W (白 薇), et al. Production distribution analysis and premiumrate decision of soybean in Heilongjiang Province. Soybean Science (大豆科学), 2015, 34(3): 507-511 (in Chinese) [22] Zhang L (张 莉), Wu W-B (吴文斌), Yang P (杨鹏), et al. Temporal and spatial changes in crop patterns of Binxian County in Heilongjiang Province. Sientia Agricultura Sinica (中国农业科学), 2013, 46(15): 3227-3237 (in Chinese) [23] Leff B, Ramankutty N, Foley JA. Geographic distribution of major crops across the world. Global Biogeochemical Cycles, 2004, 18: 1-27 [24] Liu J-K (刘吉凯), Zhong S-Q (钟仕全), Liang W-H (梁文海). Extraction on crop planting structure based on multi-temporal Landsat8 OLI images. Remote Sensing Technology and Application (遥感技术与应用), 2015, 30(4): 775-783 (in Chinese) [25] Yu Q-Y (余强毅), Wu W-B (吴文斌), Chen Y-Y (陈羊阳), et al. Model application of an agent-based model for simulating crop pattern dynamics at regional scale based on MATLAB. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2014, 30(12): 105-114 (in Chinese) [26] Huang Q (黄 青), Tang H-J (唐华俊), Zhou Q-B (周清波), et al. Remote-sensing based monitoring of planting structure and growth condition of major crops in Northeast China. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2010, 26(9): 218-223 (in Chinese) [27] Liang Z-T (梁贞堂), Pan S-Y (潘绍英), Long X-Z (龙显助). Research for top three crops property and soil physicochemical indexes of Songnen Plain in Heilongjiang Province. Heilongjiang Hydraulic Science and Technology (黑龙江水利科技), 2016, 44(6): 1-3 (in Chinese) [28] Jia K (贾 坤), Li Q-Z (李强子), Tian Y-C (田亦陈), et al. Accuracy improvement of spectral classification of crop using microwave backscatter data. Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2011, 31(2): 483-487 (in Chinese) [29] Fang K-N (方匡南), Wu J-B (吴见彬), Zhu J-P (朱建平), et al. A Review of technologies on random fore-sts. Statistics & Information Forum (统计与信息论坛), 2011, 26(3): 32-38 (in Chinese) [30] Loosvelt L, Peters J, Skriver H, et al. Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm. IEEE Transactions on Geoscience & Remote Sensing, 2012, 50: 4185-4200 [31] Chen W-B (陈文波), Xiao D-N (肖笃宁), Li X-Z (李秀珍). Classification, application and creation of landscape indices. Chinese Journal of Applied Ecology (应用生态学报), 2002, 13(1): 121-125 (in Chinese) [32] Wu T (吴 涛), Zhao D-Z (赵冬至), Zhang F-S (张丰收), et al. Changes of wetland landscape pattern in Dayang River Estuary based on highresolution remote sensing image. Chinese Journal of Applied Ecology (应用生态学报), 2011, 22(7): 1833-1840 (in Chinese) [33] Wang F (王 芳), Xie X-P (谢小平), Chen Z-C (陈芝聪), et al. Dynamic evolution of landscape spatial pattern in Taihu Lake basin, China. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(11): 3720-3730 (in Chinese) [34] Li E-L (李二玲), Wei S-H (位书华), Xu Y-N (胥亚男). An analysis of the evolution and mechanism of China’s soybean planting agglomeration and geographic pattern. Economic Survey (经济经纬), 2016, 33(3): 37-42 (in Chinese) [35] Dong F-F (董非非), Liu A-M (刘爱民), Feng Z-M (封志明), et al. Changes of planting structure and quantitative evaluation of influencing factors in traditional soybean producing areas: Taking Nenjiang County in Heilongjiang Province as an example. Journal of Natural Resources (自然资源学报), 2017, 32(3): 40-49 (in Chinese) |