辅以地貌类型的喀斯特地区土地利用信息提取

doi:10.6046/gtzyyg.2016.03.22

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摘要

地貌限制土地利用形式,土地利用类型又影响着地貌的形成与演化,基于以上关系提出一种辅以地貌类型的面向对象土地利用信息提取方法。以喀斯特地貌类型分布多样的安顺市为例,选取2010年的TM影像作为基本的数据源。首先,根据不同喀斯特地貌组合的尺度响应特征对试验区影像进行多尺度分割;进而利用数字高程模型(digital elevation model,DEM)数据以及衍生的坡度、地形起伏度和地表切割深度等特征,建立隶属度函数提取喀斯特地貌信息;最后,以地貌类型为基本分类单元,根据不同地貌类型的土地利用特点,采用面向对象的分类方法对土地利用信息进行提取。结果表明:面向对象的分类方法可以对喀斯特地貌类型进行自动提取,试验区地貌类型主要以峰丛谷地、峰丛洼地为主,峰林溶源与峰林盆地分布较少。土地利用类型以灌木与旱地为主,分别占总面积的25.58%和20.74%,土地利用信息提取总体精度达到87.35%。

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关键词 ：断层自动剖分, DInSAR, 滑动参数反演, 混合采样

Abstract：

Landscape limited forms of land use and land use type influence the formation and evolution of the landscape. In view of that relationship, this paper proposes an object-oriented land use/land cover classification method. Taking Anshun City with diverse karst landform types as an example and using 2010 TM images as the basic data source, the authors divided the test data according to different scale response characteristics of different karst landforms combinations and with multi-scale segmentation technology. Using DEM data and the derivative features such as slope, relief amplitude, and surface incision and establishing membership functions determining the threshold, the authors extracted the karst landform information. Then, on the basis of landform types and according to the landuse characteristics of different landform types, the authors divided landuse types by using nearest neighbor analysis. Overall classification precision reached 87.35%. Finally, the distribution characteristics of landform and land cover were discussed on the basis of the classification results. The results show that the landform types in the study area are mainly peak cluster valley and peak cluster depression, with a few karst pimple plains and hoodoo basins. Land cover types are mainly shrubs and dry land, which account for 25.58% and 20.74% of total area respectively.

Key words： automated fault model discretization DInSAR inversion of slip parameters mixed resampling

收稿日期: 2015-03-24 出版日期: 2016-07-01

TP79

基金资助:

贵州省科学技术基金项目"喀斯特山地城市生态安全态势及其景观优化研究"(编号:黔科合J字LKS[2012]26号)、贵州省重大专项项目"贵州省'数字环保'关键技术研究及示范应用"(编号:黔科合重大专项字[2012]6007号)、国家自然科学基金项目"喀斯特山区石漠化多源高分遥感定量评估"(编号:41361091)、贵州省优秀青年科技人才培养对象专项资金项目"石漠化信息多源遥感协同反演技术研究"(编号:黔科合人字[2013]39号)及中央高校基本科研业务费专项资金项目"大兴安岭植被物候遥感反演及其规律特征研究"(编号:14QIVJJ025)共同资助。

通讯作者: 杨广斌(1973-),男,博士,教授,主要从事地理信息系统开发与应用研究。Email:ygbyln@163.com。

作者简介: 李雪冬(1988-),男,博士研究生,主要从事遥感分类与定量遥感方面的研究。Email:li.xuedong.1988@163.com。

引用本文:

李雪冬, 张洪岩, 杨广斌, 李晓松, 周越. 辅以地貌类型的喀斯特地区土地利用信息提取[J]. 国土资源遥感, 2016, 28(3): 138-145.
LI Xuedong, ZHANG Hongyan, YANG Guangbin, LI Xiaosong, ZHOU Yue. Extraction of land cover information of Karst based on landform. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 138-145.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2016.03.22 或 https://www.gtzyyg.com/CN/Y2016/V28/I3/138

[1] 程维明,周成虎.多尺度数字地貌等级分类方法[J].地理科学进展,2014,33(1):23-33. Cheng W M,Zhou C H.Methodology on hierarchical classification of multi-scale digital geomorphology[J].Progress in Geography,2014,33(1):23-33.
[2] 宋乃平,陈忠祥.地貌与土地利用关系之探讨[J].宁夏大学学报:自然科学版,1993,14(3):27-31. Song N P,Chen Z X.A study on the relationship of landform and land use[J].Journal of Ningxia University:Natural Science Edition,1993,14(3):27-31.
[3] 周成虎,程维明,钱金凯,等.中国陆地1:100万数字地貌分类体系研究[J].地球信息科学学报,2009,11(6):707-724. Zhou C H,Cheng W M,Qian J K,et al.Research on the classification system of digital land geomorphology of 1:1000000 in China[J].Journal of Geo-Information Science,2009,11(6):707-724.
[4] 李宗发.贵州喀斯特地貌分区[J].贵州地质,2011,28(3):177-181,234. Li Z F.Division of karst landform in Guizhou[J].Guizhou Geology,2011,28(3):177-181,234.
[5] 盈斌,熊康宁,陈起伟,等.喀斯特地区土地利用与石漠化分布特征研究——以贵州省毕节市鸭池示范区为例[J].水土保持通报,2012,32(2):190-193. Ying B,Xiong K N,Chen Q W,et al.Distribution features of rocky desertification and land use in karst area:With special reference to Yachi demonstration base in Bijie Area of Guizhou Province[J].Bulletin of Soil and Water Conservation,2012,32(2):190-193.
[6] 熊康宁,池永宽.中国南方喀斯特生态系统面临的问题及对策[J].生态经济,2015,31(1):23-30. Xiong K N,Chi Y K.The problems in southern China karst ecosystem in southern of China and its countermeasures[J].Ecological Economy,2015,31(1):23-30.
[7] 宋同清,彭晚霞,杜虎,等.中国西南喀斯特石漠化时空演变特征, 发生机制与调控对策[J].生态学报,2014,34(18):5328-5341. Song T Q,Peng W X,Du H,et al.Occurrence, spatial-temporal dynamics and regulation strategies of karst rocky desertification in southwest China[J].Acta Ecologica Sinica,2014,34(18):5328-5341.
[8] 陈述彭.西南地区的喀斯特地貌[J].地理知识,1954(3):74-76. Chen S P.The karst geomorphology in southwest China[J].Geographical Knowledges,1954(3):74-76.
[9] 曾昭璇.中国南部石灰岩地貌类型若干问题[J].地质学报,1964,44(1):119-129. Zeng Z X.Some questions on the classification of relief types in karst region in south China[J].Journal of Geology,1964,44(1):119-129.
[10] 中国科学院地质研究所岩溶研究组.中国岩溶研究[M].北京:科学出版社,1979. Research group of Chinese Academy of Sciences Institute of Karst Geology Research.Karst Research in China[M].Beijing:Science Press,1979.
[11] 李雪冬,杨广斌,张旭亚,等.利用影像尺度响应进行城市扩张变化检测[J].山地学报,2014,32(3):293-299. Li X D,Yang G B,Zhang X Y,et al.Application of multiscal segmentation to the detection of urban expansion[J].Mountain Research,2014,32(3):293-299.
[12] 鲁恒,李永树,唐敏.面向对象的山地区域多源遥感影像分割尺度选择及评价[J].山地学报,2011,29(6):688-694. Lu H,Li Y S,Tang M.Evaluation and selection of segmentation scale with object-oriented method in multiple source remote sensing image of mountain areas[J].Journal of Mountain Science,2011,29(6):688-694.
[13] Martha T R,Kerle N,van Westen C J,et al.Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories[J].ISPRS Journal of Photogrammetry and Remote Sensing,2012,67:105-119.
[14] Sulong I,Mohd-Lokman H,Mohd-Tarmizi K,et al.Mangrove mapping using Landsat imagery and aerial photographs:Kemaman District,Terengganu,Malaysia[J].Environment,Development and Sustainability,2002,4(2):135-152.
[15] 张学儒,刘林山,张镱锂,等.基于ENVI ZOOM面向对象的高海拔灌丛植被提取——以定日县为例[J].地理与地理信息科学,2010,26(4):104-108. Zhang X R,Liu L S,Zhang Y L,et al.Extraction of shrub vegetation by object-oriented classification method based on ENVI ZOOM in high-altitude area:A case of Dingri County[J].Geography and Geo-Information Science,2010,26(4):104-108.
[16] 苑全治,吴炳方,张磊,等.辅助数据在面向对象分类方法中的应用——以密云水库上游为例[J].生态学报,2014,34(24):7202-7209. Yuan Q Z,Wu B F,Zhang L,et al.Application of auxiliary data in the object-based classification method:A case study on the Miyun Reservoir area[J].Acta Ecologica Sinica,2014,34(24):7202-7209.
[17] 贾明明,任春颖,刘殿伟,等.基于环境星与MODIS时序数据的面向对象森林植被分类[J].生态学报,2014,34(24):7167-7174. Jia M M,Ren C Y,Liu D W,et al.Object-oriented forest classification based on combination of HJ-1 CCD and MODIS NDVI data[J].Acta Ecologica Sinica,2014,34(24):7167-7174.
[18] 李雪冬,杨广斌,李蔓,等.面向对象的喀斯特地区土地利用遥感分类信息提取——以贵州毕节地区为例[J].中国岩溶,2013,32(2):231-237. Li X D,Yang G B,Li M,et al.RS classification information extraction of landuse in karst area by means of object oriented approach:A case in Bijie,Guizhou[J]. Carsologica Sinica,2013,32(2):231-237.
[19] Xu E Q,Zhang H Q,Li M X.Object-based mapping of karst rocky desertification using a support vector machine[J].Land Degradation & Development,2015,26(2):158-167.
[20] Zhang C Y,Xie Z X.Combining object-based texture measures with a neural network for vegetation mapping in the Everglades from hyperspectral imagery[J].Remote Sensing of Environment,2012,124:310-320.
[21] 吴田军,胡晓东,夏列钢,等.基于对象级分类的土地覆盖动态变化及趋势分析[J].遥感技术与应用,2014,29(4):600-606. Wu T J,Hu X D,Xia L G,et al.Analysis on dynamic change and tendency of land-cover based on object-oriented classification[J].Remote Sensing Technology and Application,2014,29(4):600-606.
[22] 盛茂银,熊康宁,崔高仰,等.贵州喀斯特石漠化地区植物多样性与土壤理化性质研究[J].生态学报,2015,35(2):434-448. Sheng M Y,Xiong K N,Cui G Y,et al.Plant diversity and soil physical-chemical properties in karst rocky desertification ecosystem of Guizhou,China[J].Acta Ecologica Sinica,2015,35(2):434-448.
[23] 吴秀芹,蔡运龙,蒙吉军.喀斯特山区土壤侵蚀与土地利用关系研究——以贵州省关岭县石板桥流域为例[J].水土保持研究,2005,12(4):46-48,77. Wu X Q,Cai Y L,Meng J J.Impacts of land use on soil erosion in karst mountainous area:A case study in Shibanqiao catchment in Guanling County,Guizhou Province[J].Research of Soil and Water Conservation,2005,12(4):46-48,77.

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