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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (2) : 170-176     DOI: 10.6046/gtzyyg.2014.02.27
Technology Application |
Change of cropland in typical area of Middle-Lower Yangtze Plain over the past 30 years
CHANG Xiao1,2, XIAO Pengfeng1,2, FENG Xuezhi1,2, ZHANG Xueliang1,2, YANG Yongke1,2, FENG Weiding1,2
1. Department of Geographical Information Science, Nanjing University, Nanjing 210023, China;
2. Jiangsu Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
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Abstract  In order to analyze the spatial-temporal change characteristics of the cropland in typical areas of Middle- Lower Yangtze Plains from 1984 to 2010, the authors extracted the land cover information of the study area in 1984, 1990, 1995, 2000, 2005 and 2010 from Landsat TM/ETM+ images. The results show that the amount of cropland decreased over the past 30 years. There were three stages of the cropland change: Fast reduction, slow reduction, and sharp reduction. The total area of cropland loss was 374.10 km2 from 1984 to 1990. The decrease of cropland was 66.09 km2 from 1990 to 2000, and the loss speed was relatively slow. The cropland in the study area was reduced rapidly to 1 724.33 km2 from 2000 to 2010. Most of the lost cropland was transformed into the construction land, and the cropland in cities along the Yangtze River, such as Nanjing, Maanshan, and Wuhu, was decreased more seriously than that in counties. The speed of urbanization was accelerated. Moreover, plenty of cropland was turned into ponds to breed fish and crabs around the Shijiu Lake and the Gucheng Lake, particularly in western regions where the conversion was prominently frequent from 1990. On the other hand, cropland was increased along the boundary of cropland and mountain from 1984 to 2000. After that, the cropland decreased because of the implementation of returning cropland to forest and creating economic forest.
Keywords hyperspectral imagery      spectral unmixing      secondary scattering model      mapping rules      mineral mapping     
:  TP79  
Issue Date: 28 March 2014
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YU Xianchuan
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YU Xianchuan,Xiong Liping,XU Jindong, et al. Change of cropland in typical area of Middle-Lower Yangtze Plain over the past 30 years[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 170-176.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.02.27     OR     https://www.gtzyyg.com/EN/Y2014/V26/I2/170
[1] Smil V.China's energy and resource uses:Continuity and change[J].The China Quarterly,1998,156:935-951.
[2] Fischer G,Chen Y F,Sun L X,et al.The balance of cultivated land in China during 1988-1995[R].International Institute for Applied Systems Analysis,1998:1-36.
[3] Houghton R A,Hackler J L.Sources and sinks of carbon from land use change in China[J].Global Biogeochemical Cycles,2003,17(2):1-19.
[4] Avissar R,Silva Dias P L,Silva Dias M A F,et al.The large-scale biosphere-atmosphere experiment in Amazonia(LBA):Insights and future research needs[J].Journal of Geophysical Research:Atmospheres(1984-2012),2002,107(D20):LBA 54-1-LBA 54-6.
[5] Brown L R.Who will feed China wake-up call for a small planet[M].W W Norton and Company,1995.
[6] 邹健,龙花楼.改革开放以来中国耕地利用与粮食生产安全格局变动研究[J].自然资源学报,2009,24(8):1366-1377. Zou J,Long H L.The variation of farmland use and the security pattern of grain production in China since 1978[J].Journal of Natural Resources,2009,24(8):1366-1377.
[7] 张国平,刘纪远,张增祥.近10年来中国耕地资源的时空变化分析[J].地理学报,2003,58(3):323-332. Zhang G P,Liu J Y,Zhang Z X.Spatial-temporal changes of cropland in China for the past 10 years based on remote sensing[J].Acta Geographica Sinica,2003,58(3):323-332.
[8] 刘美玲,齐清文,邹秀萍,等.基于RS对云南边境地区土地覆盖现状及变化研究[J].国土资源遥感,2006,18(1):75-78,87. Liu M L,Qi Q W,Zou X P,et al.Spatial-temporal changes of the land use/cover in border areas of Yunnan Province[J].Remote Sensing for Land and Resources,2006,18(1):75-78,87.
[9] 李振,黄海军.胶州湾海岸带土地利用/覆被变化研究[J].国土资源遥感,2010,22(4):71-76. Li Z,Huang H J.Land use and land cover change of the coastal zone around Jiaozhou Bay[J].Remote Sensing for Land and Resources,2010,22(4):71-76.
[10] 田光进,庄大方,刘明亮.近10年中国耕地资源时空变化特征[J].地球科学进展,2003,18(1):30-36. Tian G J,Zhuang D F,Liu M L.The spatial-temporal dynamic change of cultivated land in China in 1990s[J].Advance in Earth Sciences,2003,18(1):30-36.
[11] 刘纪远,刘明亮,庄大方,等.中国近期土地利用变化的空间格局分析[J].中国科学:D辑,2002,32(12):1031-1040. Liu J Y,Liu M L,Zhuang D F,et al.Spatial pattern analysis of land use change in China[J].Science in China:Series D,2002,32(12):1031-1040.
[12] Xiao X M,Boles S,Liu J Y,et al.Mapping paddy rice agriculture in southern China using multi-temporal MODIS images[J].Remote Sensing of Environment,2005,95(4):480-492.
[13] 王思远,刘纪远,张增祥,等.中国土地利用时空特征分析[J].地理学报,2001,56(6):631-639. Wang S Y,Liu J Y,Zhang Z X,et al.Analysis on spatial-temporal features of land use in China[J].Acta Geographica Sinica,2001,56(6):631-639.
[14] 史娟,张凤荣,赵婷婷.1998年—2006年中国耕地资源的时空变化特征[J].资源科学,2008,30(8):1191-1198. Shi J,Zhang F R,Zhao T T.Spatiotemporal changes in cultivated land area in China from 1998 to 2006[J].Resources Science,2008,30(8):1191-1198.
[15] 杨桂山.长江三角洲近50年耕地数量变化的过程与驱动机制研究[J].自然资源学报,2001,16(2):121-127. Yang G S.The process and driving forces of change in arable-land area in the Yangtze River Delta during the past 50 years[J].Journal of Natural Resources,2001,16(2):121-127.
[16] 杨桂山.土地利用/覆被变化与区域经济发展[J].地理学报,2004,59(sl):41-46. Yang G S.Land use and land cover change and regional economic development:The revelation of the change in cropland area in the Yangtze River Delta during the past 50 years[J]. Acta Geographica Sinica,2004,59(s1):41-46.
[17] 李晓文,方精云.近10年来长江下游地区耕地动态变化特征[J].自然资源学报,2003,18(5):562-567. Li X W,Fang J Y.Dynamics and trends in cultivated land in lower Yangtze Valley in the past decade[J].Journal of Natural Resources,2003,18(5):562-567.
[18] 匡文慧,张树文,侯伟,等.三江平原宝清县土地利用变化图谱分析[J].中国科学院研究生院学报,2006,23(2):242-250. Kuang W H,Zhang S W,Hou W,et al.Baoqing county of Sanjiang Plain land use change TuPu analysis[J].Journal of the Graduate School of the Chinese Academy of Sciences,2006,23(2):242-250.
[19] Wu B F,Li Q Z.Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes[J].International Journal of Applied Earth Observation and Geoinformation,2012,16:101-112.
[20] 田光进,周全斌,赵晓丽,等.中国城镇扩展占用耕地的遥感动态监测[J].自然资源学报,2002,17(4):476-480. Tian G J,Zhou Q B,Zhao X L,et al.Monitoring urban encroachment on cultivated land with TM images in China[J].Journal of Natural Resources,2002,17(4):476-480.
[21] 南京市统计局.南京统计年鉴2006[M].北京:中国统计出版社,2006. Bureau of Statistics of Jiangsu Province.Statistics yearbook of Nanjing City in 2006[M].Beijing:China Statistics Press,2006.
[22] 马鞍山市统计局.马鞍山统计年鉴1996[M].北京:中国统计出版社,2006. Bureau of Statistics of Anhui Province.Statistics yearbook of Maanshan City in 1996[M].Beijing:China Statistics Press,2006.
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