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REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (3) : 160-165     DOI: 10.6046/gtzyyg.2016.03.25
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Evaluation of cultivated land suitability for Binhai New Area of Tianjin based on GIS
LIU Jun, ZHAN Ran, SUN Wei
Tianjin Bohai Urban Planning & Desingn Institute, Tianjin 300451, China
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Abstract  

Cultivated land is an essential resource and condition for the survival of human beings. Evaluation of cultivated land suitability is the basis of the land reasonable utilization and can provide the scientific basis for utilization and management of cultivated land. Taking Tianjin Binhai New Area as the study object and based on the theory of cultivated land suitability, the authors confirmed the evaluation unit with combinations of GIS and RS. 5 evaluation factors were selected including soil geology and irrigation to build up the evaluation system with combinations of specific situations of Binhai Xin Area and the availability of data. Then the results of cultivated land suitability were divided into four levels based on GIS and weighted index summation model. The result showed that each level accounted for 5.65%, 27.25%, 44.42%, 22.68% of the total evaluation unit area respectively from level Ⅰ to level Ⅳ. The whole quality of cultivated land is not very good. The highly suitable regions are mainly distributed in Taiping Town, Xiaowangzhuang Town, Zhongtang Town, north of Airport Economic Zone, Hujiayuan Street, Xincheng Town, Chadian Town, Datian Town, Hexin Street and Yangjiabo Town. The authors put forward some advices for each level land of evaluation result based on the results of each index evaluation, which are very important for improving cultivated land quality of the whole Binhai New Area and using land reasonably and availably.

Keywords object tracking      texture feature      center symmetric-local similarity number(CS-LSN)      mean shift (MS)     
:  P208  
Issue Date: 01 July 2016
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LIU Wei
ZHAO Wenjie
LI Cheng
LI Ting
TAN Haifeng
MA Yangming
Cite this article:   
LIU Wei,ZHAO Wenjie,LI Cheng, et al. Evaluation of cultivated land suitability for Binhai New Area of Tianjin based on GIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 160-165.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.03.25     OR     https://www.gtzyyg.com/EN/Y2016/V28/I3/160

[1] 莫福华.如何加强我国耕地资源保护的有效对策[J].大科技,2014(24):373-374. Mo F H.The effective countermeasures of how to strengthen cultivated land protection in China[J]. Super Science,2014(24):373-374.
[2] 李颖,施昆,罗文生,等.基于GIS的琼海市胡椒土地适宜性评价[J].江西农业学报,2014,26(7):124-127. Li Y,Shi K,Luo W S,et al.Evaluation of soil suitability for pepper planting in Qionghai City based on GIS[J].Acta Agriculturae Jiangxi,2014,26(7):124-127.
[3] 杨子生.土壤流失方程在山区耕地可持续利用适宜性评价与土地利用规划中的应用[J].山地学报,1999,17(s1):36-44. Yang Z S.The application of soil loss equation in cultivated land suitability evaluation based on sustainable use and land use planning in the northeast mountain region of Yunnan Province[J].Journal of Mountain Science,1999,17(s1):36-44.
[4] 周慧娟,刘慧平.GIS支持下的密云县耕地适宜性评价[C]//中国地理信息系统协会.中国地理信息系统协会2001年年会论文集.北京:科学出版社,2001:337-342. Zhou H J,Liu H P.Cultivated land suitability evaluation in Miyun county supported by GIS[C]//Geographic Information System Association.Proceedings of Geographic Information System Association Annal Conference.Beijing:Science Press,2001:337-342.
[5] 赵在友,涂建军,柳蛟,等.基于GIS的喀斯特地区耕地适宜性评价——以重庆市云阳县为例[J].农机化研究,2010,32(1):10-12,17. Zhao Z Y,Tu J J,Liu J,et al.GIS based on the Karst area of cultivated land suitability evaluation in order to Yunyang County of Chongqing as an example[J].Journal of Agricultural Mechanization Research,2010,32(1):10-12,17.
[6] 柯新利,荣庚午,韩冰华.基于AHP和GIS的湖北省耕地适宜性评价[J].国土与自然资源研究,2011(4):35-38. Ke X L,Rong G W,Han B H.Suitable evaluation on cultivated land based on AHP and GIS in Hubei Province[J].Territory & Natural Resources Study,2011(4):35-38.
[7] 天津市地方志编修委员会办公室.天津区县年鉴2012[M].天津:天津社会科学院出版社,2012:105-106. Tianjin Local Chronicles Editing Committee Office.Tianjin Area County Annals 2012[M].Tianjin:Tianjin Academy of Social Sciences Publishing House,2012:105-106.
[8] 毛建华,沈伟然.天津滨海新区土壤盐碱与污染状况及土地利用的思考[J].天津农业科学,2005,11(4):15-17. Mao J H,Shen W R.Reflection of soil salination pollution research and land use of Binhai Area in Tianjin[J].Tianjin Agricultural Sciences,2005,11(4):15-17.
[9] 崔静.天津市滨海新区土壤污染状况及防治措施初探[C]//2011中国环境科学学会学术年会论文集(第二卷).北京:中国环境科学出版社,2011:1589-1592. Cui J.Soil pollution situation and initially search of preventive measures in Tianjin Binhai New Area[C]//In proceedings of Chinese Society for Environment Sciences Academic Annual Conference.Beijing:China Environmental Science Press,2011:1589-1592.
[10] 查勇,倪绍祥,杨山.一种利用TM图像自动提取城镇用地信息的有效方法[J].遥感学报,2003,7(1):37-40. Zha Y,Ni S X,Yang S.An effective approach to automatically extract urban land-use from TM imagery[J].Journal of Remote Sensing,2003,7(1):37-40.
[11] 张成刚,王卫.基于GIS/RS的冀北地区农用地适宜性评价[J].安徽农业科学,2006,34(16):3911-3913. Zhang C G,Wang W.Evaluation of the suitability of agricultural land-using based on the method of GIS/RS[J].Journal of Anhui Agricultural Sciences,2006,34(16):3911-3913.
[12] 冯乃琦,刘超,朱立杰.应用层次分析法确定土地复垦适宜性评价指标权重——以登封市某铝土矿矿山土地复垦为例[J].资源导刊:地球科技版,2014(10):29-31. Feng N Q,Liu C,Zhu L J.Application research of AHP in the weights of land suitability evaluation index:A case study on a bauxite mine-land reclamation in Dengfeng City[J].Resources Guide:Earth Science and Technology,2014(10):29-31.

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