土壤侵蚀动态监测中的高分辨率影像土地利用解译精度分析

doi:10.16843/j.sswc.2018.03.002

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Abstract [Background] Soil erosion has a great correlation with land use, and land use directly affects the form, spatial distribution and intensity of soil erosion. High resolution remote sensing image is the main information source of land use status survey, and it is the foundation and precondition to accurately grasp the dynamic soil erosion. The purpose of this study is to improve the interpretation accuracy of land use types for high-resolution images.[Methods] Comprehensively supporting soil erosion dynamic monitoring and soil and water conservation planning in county-level, this paper took Huailai county of Hebei province as the study case, and land use information was obtained based on high-resolution image interpretation and field sampling survey. The land use results by the field sampling survey were taken as actual values, and the types (Cultivated land, garden plot, forest land, shrub land, grass land, and other), area and distribution of land use by remote sensing survey were compared with the sampling survey unit analyzed by land use change transfer matrix at the two levels of the whole county.[Results] 1)The proportion of cultivated land in remote sensing survey and field sampling survey was 16% and 17.1% respectively, with a difference of 1.1%; the proportion of garden plot was 21.8% and 10.7% respectively, with a difference of 11.1%; the proportion of forest land was 16.5% and 8.9% respectively, with a difference of 7.6%; the proportion of shrub land was 14.6% and 33.9% respectively, with a difference of 19.3%; the proportion of grass land was 18.4% and 15.5% respectively, with a difference of 2.9%; the proportion of other land was 12.7% and 13.9%, with a difference of 1.2%. In addition to the far different proportion of garden plot and shrub land, the proportion of other land uses was quite similar, therefore, the land use structure obtained by remote sensing survey and field sampling survey were in good consistency. 2)The precision of cultivated land, garden plot and grass land was higher by remote sensing, 68.2% and 64.2%, respectively, and the forest land was in second, 78.6%, followed by shrub land and other land, 68.2% and 64.2%, respectively. 3)The interpretation accuracy of shrub land by remote sensing was low, only 68.2%, and it was because shrub land and grass land were easily confused so that led to misjudgment, the proportion of the shrub land misjudged to the grass land reached 30.5%.[Conclusions] Both methods can be used as reliable means of obtaining land use information, moreover, high-resolution remote sensing images have high value in the investigation and mapping of large scale soil erosion, the misjudgment between the two of the shrub land and the grass land also needs to be paid more attention to the interpretation, the accuracy of interpretation can be improved from the analysis of texture and shade, the increase of field investigation and image processing technology.

Key words： landuse type remote sensing survey field sampling survey interpretation accuracy

Received: 12 December 2017

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	LI Ao
	WEI Xin
	LI Zixuan

Cite this article:

LI Ao,WEI Xin,LI Zixuan. Accuracy analysis of land use interpretation of high resolution image in soil erosion dynamic monitoring[J]. SSWC, 2018, 16(3): 8-17.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2018.03.002 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2018/V16/I3/8

[1]	马克伟.中国土地资源调查技术[M].北京:中国大地出版社,2000:1. MA Kewei.Technology of land resources investigation in China[M].Beijing:China Earth Press,2000:1.
[2]	李连发,王劲峰,刘纪远.国土遥感调查的空间抽样优化决策[J].中国科学(地球科学),2004,34(10):975. LI Lianfa,WANG Jinfeng,LIU Jiyuan.Spatial sampling optimization decision of land remote sensing survey[J].Scientia Sinica Terrae,2004,34(10):975.
[3]	王长耀,刘纪远,王长有.彩色红外航空遥感图象在天津北郊区土地利用现状调查中的应用[J].中国农业资源与区划,1983:82. WANG Changyao,LIU Jiyuan,WANG Changyou.The application of color infrared aerial remote sensing image in the investigation of land use status in Beijiao District,Tianjin[J].Chinese Journal of Agricultural Resources and Regional Planning,1983:82.
[4]	徐新良,刘纪远,庄大方.国家尺度土地利用/覆被变化遥感监测方法[J].安徽农业科学,2012,40(4):2365. XU Xinliang,LIU Jiyuan,ZHUANG Dafang.Remote sensing monitoring methods of land use/cover change in national scale[J].Journal of Anhui Agricultural Sciences,2012,40(4):2365.
[5]	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与驱动力分析[M].北京:星球地图出版社,2002:89. LIU Jiyuan,LIU Mingliang,ZHUANG Dafang,et al.The spatial pattern and driving force analysis of land use change in China in the near future[M].Beijing:Star Map Press,2002:89.
[6]	马克伟.全国土地资源调查[M].北京:中国大地出版社,2000:139. MA Kewei.National land resource survey[M].Beijing:China Earth Press,2000:139.
[7]	胡倩伟,左建章,刘江,等.高分一号卫星数据在土地覆盖动态监测中的应用研究[J].测绘与空间地理信息,2016,39(6):63. HU Qianwei,ZUO Jianzhang,LIU Jiang,et al.Research on GF-1 in the application of the land cover dynamic monitoring[J].Geomatics and Spatial Information Technology,2016,39(6):63.
[8]	潘红播,张过,唐新明,等.资源三号测绘卫星影像产品精度分析与验证[J].测绘学报,2013,42(5):738. PAN Hongbo,ZHANG Guo,TANG Xinming,et al.Accuracy analysis and verification of ZY-3 products[J].Acta Geodaetica et Cartographica Sinica,2013,42(5):738.
[9]	周亦,张亚亚.利用eCognition进行高分一号卫星数据土地利用现状解译能力测试[J].测绘通报,2016,(8):77. ZHOU Yi,ZHANG Yaya.Test of land use interpretation ability with satellite data of GF-1 using the eCognition[J].Bulletin of Surveying and Mapping,2016,(8):77.
[10]	中国土地勘测规划院,国土资源部地籍管理司.土地利用现状分类:GB/T 21010-2007[S].2007. Chinese Land Surveying and Planning Institute,Department of Cadastre Management of the Ministry of Land and Resources.Classification of land use status:GB/T 21010-2007[S].2007.
[11]	刘宝元,郭索彦,李智广,等.中国水力侵蚀抽样调查[J].中国水土保持,2013,10(10):26 LIU Baoyuan,GUO Suoyan,LI Zhiguang,et al.Sampling survey on water erosion in China[J].Soil and Water Conservation in China,2013,10(10):26.
[12]	国务院第一次全国水利普查领导小组办公室.《第一次全国水利普查培训教材之六:水土保持情况普查》[R]. 2010. Office of the First National Leadership Group of the National Water Resources Census of the State Council.Sixth training materials for the first national water conservancy census:A survey of soil and water conservation[R], 2010.
[13]	卢刚,陆敏燕,陈成,等.资源三号卫星影像分类研究[M].南京:《现代测绘》编辑部.2012:81. LU Gang,LU Minyan,CHEN Cheng,et al.ZY-3 satellite image classification study[M].Nanjing:Modern Surveying and Mapping,Editorial Office.2012:81.
[14]	张银辉,赵庚星.土地利用/土地覆盖遥感分类方法的研究综述[J].中国农业资源与区划,2002,23(3):21. ZHANG Yinhui,ZHAO Gengxing.Classification methods of land use/cover based on remote sensing technologies[J].Chinese Journal of Agricultural Resources and Regional Planning,2002,23(3):21.
[15]	白燕,王卷乐,宋佳.中国1:25万土地覆盖遥感制图精度评价:以鄱阳湖地区为例[J].地球信息科学学报,2012,14(4):497. BAI Yan,WANG Juanle,SONG Jia.Field accuracy validation of land cover remote sensing mapping at the scale of 1:250000 in the poyang lake area of China[J].Journal of Geo-Information Science,2012,14(4):497.
[16]	陈文倩,丁建丽,王娇,等.基于高分一号影像的土地覆被分类方法初探[J].干旱区地理,2016,39(1):182. CHEN Wenqian,DING Jianli,WANG Jiao,et al.Classification method of land cover based on GF-1 image[J].Arid Land Geography,2016,39(1):182.
[17]	孙育秋.腾冲试验区土地利用类型的全色航片图象特征和解译标志分析[J].经济地理,1981:38. SUN Yuqiu.Analysis of image features and translation markers of panchromatic aerial photographs of land use types in Tengchong test area[J].Economic Geography,1981:38.
[18]	余艳玲,李卫忠,姜英.毛乌素沙漠土地利用类型解译标志的建立:以榆阳区为例[J].西北林学院学报,2005,20(3):10. YU Yanling,LI Weizhong,JIANG Ying.Establishment of interpreting key on land use types in Mu Us Desert:A case study of Yuyang District[J].Journal of Northwest Forestry University,2005,20(3):10.
[19]	迟智儒,胡显华.长春遥感试验区航片土地利用现状解译[J].吉林农业大学学报,1990,12(4):47. CHI Zhiru,HU Xianhua.The interpretation of land utilization status quo in Changchun remote-sensing area[J].Journal of Jilin Agricultural University,1990,12(4):47.
[20]	潘安敏,齐清文.利用卫星遥感影像解译土地资源[J].湖南师范大学自然科学学报,1997,20(4):82. PAN Anmin,QI Qingwen.Study on interpreting land resource by using satellite image[J].Journal of Natural Science of Hunan Normal University,1997,20(4):82.
[21]	刘书含,顾行发,余涛,等.高分一号多光谱遥感数据的面向对象分类[J].测绘科学,2014,39(12):91. LIU Shuhan,GU Hangfa,YU Tao,et al.Object-oriented classification method based on GF-1 multi-spectral remote sensing image[J].Science of Surveying and Mapping,2014,39(12):91.
[22]	李春华,沙晋明.基于知识的遥感影像的BAYES分类方法研究:以福州市琅歧岛土地覆盖/土地利用类型为例[J].水土保持研究,2006,13(6):126. LI Chunhua,SHA Jinming.Knowledge based Bayes image classification approach:Land cover/land use of Fuzhou Langqi Island as a study case[J].Research of Soil and Water Conservation,2006,13(6):126.
[23]	王圆圆,李京.遥感影像土地利用/覆盖分类方法研究综述[J].遥感信息,2004:53. WANG Yuanyuan,LI Jing.Classification methods of land use/cover based on remote sensing technology[J].Remote Sensing Information,2004:53.
[24]	史泽鹏,马友华,王玉佳,等.遥感影像土地利用/覆盖分类方法研究进展[J].中国农学通报,2012,28(12):273. SHI Zepeng,MA Youhua,WANG Yujia,et al.Review on the classification methods of land use/cover based on remote sensing image[J].Chinese Agricultural Science Bulletin,2012,28(12):273.
[25]	术洪磊,毛赞猷.GIS辅助下的基于知识的遥感影像分类方法研究:以土地覆盖/土地利用类型为例[J].测绘学报,1997,26(4):328. SHU Honglei,MAO Zanyou.Knowledge based image classification approach supported by a GIS[J].Acta Geodaetica et Cartographica Sinica,1997,26(4):328.
[26]	纪仰慧,李国春,关宏强.土地利用/覆盖遥感分类研究综述[J].农业网络信息,2005,(8):36. JI Yanghui,LI Guochun,GUAN Hongqiang.Review of remote sensing classification technology for land use/land cover[J].Agriculture Network Information,2005,(8):36.