基于Landsat 8的喀斯特峰丛洼地地貌信息提取
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摘要
通过对喀斯特峰丛洼地的地理形态特征和遥感影像特征的研究,基于归一化植被指数(NDVI)、地表温度(LST)及地形坡度数据等,结合Arc GIS工具的模型构建器(Model Builder)可视化空间建模,建立了"一键式"遥感自动提取峰丛洼地地貌模型。运用分形理论,计算洼地斑块周长—面积关系,分维数和稳定性等指数,揭示峰丛洼地空间结构特征。实验表明:(1)通过运用集成NDVI、LST及坡度数据综合算法,能够有效增强地物图像的特征差异,从而区别峰丛和洼地的影像特征统计值,有利于喀斯特地貌单元阈值自动选取,提取精度为82.32%;(2)研究区洼地斑块周长-面积的关系为y=0.681x-0.002,二者的相关系数R2为0.901 7,周长和面积的分维数D=1.362,表示研究区图斑镶嵌结构较稳定。
Through the research on geographical characteristics of karst peak cluster depression and the study of remote sensing image characteristics,the characteristics of the target feature of Normalized Difference Vegetation Index( NDVI) and Land Surface Temperature( LST) and terrain slope data,etc can be effectively reflected,combining the Model Builder visualization space modeling,established a " one-click" remote sensing automatic extraction of peak cluster depression physiognomy Model. In order to reveal the spatial structure characteristics of the peakdepression,the fractal theory was used to calculate the relation between the perimeter and area of the depression patches,dimension and stability indices. The results show as follows.(1)By using integrated NDVI,LST and gradient data integrated algorithm,as follows. features image characteristics of difference can be effectively enhanced,and it is advantageous to the automatic selection of threshold value of karst geomorphologic unit and the extraction accuracy is 82. 32%.(2)The relationship between the circumference and area of the depression patchs in the study area is y = 0. 681 x-0. 002,the correlation coefficient is 0. 901 7,and the fractal dimension is 1. 362,it indicating that the Mosaic structure is relatively stable.
Through the research on geographical characteristics of karst peak cluster depression and the study of remote sensing image characteristics,the characteristics of the target feature of Normalized Difference Vegetation Index( NDVI) and Land Surface Temperature( LST) and terrain slope data,etc can be effectively reflected,combining the Model Builder visualization space modeling,established a " one-click" remote sensing automatic extraction of peak cluster depression physiognomy Model. In order to reveal the spatial structure characteristics of the peakdepression,the fractal theory was used to calculate the relation between the perimeter and area of the depression patches,dimension and stability indices. The results show as follows.(1)By using integrated NDVI,LST and gradient data integrated algorithm,as follows. features image characteristics of difference can be effectively enhanced,and it is advantageous to the automatic selection of threshold value of karst geomorphologic unit and the extraction accuracy is 82. 32%.(2)The relationship between the circumference and area of the depression patchs in the study area is y = 0. 681 x-0. 002,the correlation coefficient is 0. 901 7,and the fractal dimension is 1. 362,it indicating that the Mosaic structure is relatively stable.
引文
1 Marjorie S.Cone karst and tower karst of South China.Geography Review,1989;3(2):2-6
2杨明德,梁虹.峰丛洼地形成动力过程与水资源开发利用.中国岩溶,2000;19(1):44-51Yang Mingde,Liang Hong.The processes of evolution dynamic of cone Karst and the exploitation of the water resource.Carsologica Sinica,2000;19(1):44-51
3王明章.岩溶石漠化治理问题研究.贵州地质,2004;(1):48-53Wang Mingzhang.Research of the problems to the governing about rocky desertification.Guizhou Geology,2004;(1):48-53
4邓新辉,吴孔运,蒋忠诚,等.西南喀斯特峰丛洼地生态环境效应及其危害.广西农业科学,2009;40(7):857-863Deng Xinhui,Wu Kongyun,Jiang Zhongcheng,et al.Eco-environmental effects and deterioration of karst peak-cluster depression in Southwest China.Journal of Southern Agriculture,2009;40(7):857-863
5蒋忠诚,李先琨,曾馥平,等.岩溶峰丛山地脆弱生态系统重建技术研究.地球学报,2009;30(2):155-166Jiang Zhongcheng,Li Xiankun,Zeng Fuping,et al.Study of fragile ecosystem reconstruction technology in the Karst peak-cluster mountain.Acta Geoscientica Sinica,2009;30(2):155-166
6 Li Y B,Li Q Y,Luo G J,et al.Discussing the genesis of Karst Rocky desertification-research based on the correlations between cropland and settlement in typical peak-cluster depressions.Solid Earth Discussions,2016;7(3):741-750
7刘发勇,熊康宁,兰安军,等.贵州省喀斯特石漠化与水土流失空间相关分析.水土保持研究,2015;22(6):60-64Liu Fangyong,Xiong Kangning,Lan Anjun,et al.Correlation between rocky desertification and water and soil loss in the karst area of Guizhou.Research of Soil and Water Conservation,2015;22(6):60-64
8姚永慧.中国西南喀斯特石漠化研究进展与展望.地理科学进展,2014;33(1):76-84Yao Yonghui.Progress and prospect of Karst rocky desertification research in Southwest China.Progress in Geography,2014;33(1):76-84
9蒋忠诚.论中国岩溶峰丛洼地的形成.中国岩溶,1996;(增刊1):83-90Jiang Zhongcheng.An analysis on formation of the Karst Fengcong depressions in China.Carsologica Sinica,1996;(S1):83-90
10 Giles P T,Franklin S E.An automated approach to the classification of the slope units using digital data.Geomorphology,1998;21(3-4):251-264
11 Miliaresis G.Extraction of Bajadas from digital elevation models and satellite imagery.Computers&Geosciences,2001;27(10):1157-1167
12龙恩,程维明,肖飞,等.利用SRTM-DEM和TM数据提取平原山地信息的研究.测绘科学,2008;33(2):53-56Long En,Cheng Weiming,Xiao Fei,et al.Research on key technology of the plain and mountain extraction based on SRTM-DEM and RS.Science of Surveying and Mapping,2008;33(2):53-56
13周成虎,程维明,钱金凯.数字地貌遥感解析与制图.北京:科学出版社,2009:93-114Zhou Chenghu,Chen Weiming,Qian Jinkai.Digital geomorphological interpretation and mapping from remote sensing.Beijing:Science Press,2009:93-114
14陈明,王运生,曹水合,等.旺苍地区岩溶地貌形态特征及成因机理研究.科学技术与工程,2016;16(2):11-17Chen Ming,Wang Yunsheng,Cao Shuihe,et al.Study on the morphology features and genetic mechanism of Karst in Wangcang area.Science Technology and Engineering,2016;16(2):11-17
15马士彬,安裕伦.基于ASTER GDEM数据喀斯特区域地貌类型划分与分析.地理科学,2012;32(3):368-373Ma Shibin,An Yulun.Auto-classification of landform in Karst region based on ASTER GDEM.Scientia Geographica Sinica,2012;32(3):368-373
16黄淑芬,兰安军,马家琼,等.基于遥感影像数字喀斯特地貌信息提取研究---以贵州省关岭县为例.第十八届中国遥感大会论文集.北京:科学出版社,2012:803-810Huang Shufen,Lan Anjun,Ma Jiaqiong,et al.Study on the extraction of karst geomorphological information based on remote sensing image-A case study of Guanling County,Guizhou Province.Proceedings of the 18th China Remote Sensing Conference.Beijing:Science Press,2009:803-810
17杨树文,谢飞,冯光胜,等.基于Spot5图像的岩溶地貌单元自动提取方法.国土资源遥感,2012;24(2):56-60Yang Shuwen,Xie Fei,Feng Guangsheng,et al.Automatic extraction of Karst landscape elements based on Spot 5 image.Remote Sensing for Land&Resources,2012;24(2):56-60
18 Huang W,Deng C,Day M J.Differentiating tower karst(Fenglin)and cockpit karst(Fengcong)using DEM contour,slope,and centroid.Environment Earth Science,2014;72(2):407-416
19 Zhu X W.Karst geomorphology and cave in Guilin.Annals of the Academy of Geologic Science of China.Beijing:Geologic Pressing House,1982:149-150
20贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展.地球科学进展,2013;28(7):774-782Jia Kun,Yao Yunjun,Wei Xiangqin,et al.A review on fractional vegetation cover estimation using remote sensing.Advances in Earth Science,2013;28(7):774-782
21阿如旱,杨持,同丽嘎.基于分形理论的沙漠化土地空间结构---以内蒙古多伦县为例.地理研究,2010;29(2):283-290Aru Han,Yang Chi,Tong Liga.Spatial structure of desertified land based on fractal theory:Taking Duolun County,Inner Mongolia as an example.Geographical Research,2010;29(2):283-290
22周国富.喀斯特峰丛洼地系统土地利用与人口聚落分布---以贵州为例.贵州师范大学学报(自然版),1994;(3):16-21Zhou Guofu.Karst peak cluster-depression system-Land use,population and settlement distribution(An example from Guizhou).Journal of Guizhou Normal University(Natural Sciences),1994;(3):16-21
23李阳兵,罗光杰,白晓永,等.典型峰丛洼地耕地、聚落及其与喀斯特石漠化的相互关系---案例研究.生态学报,2014;34(9):2195-2207Li Yangbing,Luo Guangjie,Bai Xiaoyong,et al.The correlations among arable land,settlement and karst rocky desertification-Cases study based on typical peak-cluster depression.Acta Ecologica Sinica,2014;34(9):2195-2207
24于树梅,刘景时,袁金国.基于SPOT-VGT NDVI的西藏羊卓雍错流域地表覆被变化研究.光谱学与光谱分析,2010;30(6):1570-1574Yu Shumei,Liu Jingshi,Yuan Jinguo.Vegetation change of Yamzho Yumco basin in southern Tibet based on SPOT-VGT NDVI.Spectroscopy and Spectral Analysis,2010;30(6):1570-1574
25杜明义,武文波,郭达志.多源地学信息在土地荒漠化遥感分类中的应用研究.中国图象图形学报,2002;7(7):740-74Du Mingyi,Wu Wenbo,Guo Dazhi.Research on multi-source geographic information based classification of desertification.Journal of Image and Graphics,2002;7(7):740-743
2杨明德,梁虹.峰丛洼地形成动力过程与水资源开发利用.中国岩溶,2000;19(1):44-51Yang Mingde,Liang Hong.The processes of evolution dynamic of cone Karst and the exploitation of the water resource.Carsologica Sinica,2000;19(1):44-51
3王明章.岩溶石漠化治理问题研究.贵州地质,2004;(1):48-53Wang Mingzhang.Research of the problems to the governing about rocky desertification.Guizhou Geology,2004;(1):48-53
4邓新辉,吴孔运,蒋忠诚,等.西南喀斯特峰丛洼地生态环境效应及其危害.广西农业科学,2009;40(7):857-863Deng Xinhui,Wu Kongyun,Jiang Zhongcheng,et al.Eco-environmental effects and deterioration of karst peak-cluster depression in Southwest China.Journal of Southern Agriculture,2009;40(7):857-863
5蒋忠诚,李先琨,曾馥平,等.岩溶峰丛山地脆弱生态系统重建技术研究.地球学报,2009;30(2):155-166Jiang Zhongcheng,Li Xiankun,Zeng Fuping,et al.Study of fragile ecosystem reconstruction technology in the Karst peak-cluster mountain.Acta Geoscientica Sinica,2009;30(2):155-166
6 Li Y B,Li Q Y,Luo G J,et al.Discussing the genesis of Karst Rocky desertification-research based on the correlations between cropland and settlement in typical peak-cluster depressions.Solid Earth Discussions,2016;7(3):741-750
7刘发勇,熊康宁,兰安军,等.贵州省喀斯特石漠化与水土流失空间相关分析.水土保持研究,2015;22(6):60-64Liu Fangyong,Xiong Kangning,Lan Anjun,et al.Correlation between rocky desertification and water and soil loss in the karst area of Guizhou.Research of Soil and Water Conservation,2015;22(6):60-64
8姚永慧.中国西南喀斯特石漠化研究进展与展望.地理科学进展,2014;33(1):76-84Yao Yonghui.Progress and prospect of Karst rocky desertification research in Southwest China.Progress in Geography,2014;33(1):76-84
9蒋忠诚.论中国岩溶峰丛洼地的形成.中国岩溶,1996;(增刊1):83-90Jiang Zhongcheng.An analysis on formation of the Karst Fengcong depressions in China.Carsologica Sinica,1996;(S1):83-90
10 Giles P T,Franklin S E.An automated approach to the classification of the slope units using digital data.Geomorphology,1998;21(3-4):251-264
11 Miliaresis G.Extraction of Bajadas from digital elevation models and satellite imagery.Computers&Geosciences,2001;27(10):1157-1167
12龙恩,程维明,肖飞,等.利用SRTM-DEM和TM数据提取平原山地信息的研究.测绘科学,2008;33(2):53-56Long En,Cheng Weiming,Xiao Fei,et al.Research on key technology of the plain and mountain extraction based on SRTM-DEM and RS.Science of Surveying and Mapping,2008;33(2):53-56
13周成虎,程维明,钱金凯.数字地貌遥感解析与制图.北京:科学出版社,2009:93-114Zhou Chenghu,Chen Weiming,Qian Jinkai.Digital geomorphological interpretation and mapping from remote sensing.Beijing:Science Press,2009:93-114
14陈明,王运生,曹水合,等.旺苍地区岩溶地貌形态特征及成因机理研究.科学技术与工程,2016;16(2):11-17Chen Ming,Wang Yunsheng,Cao Shuihe,et al.Study on the morphology features and genetic mechanism of Karst in Wangcang area.Science Technology and Engineering,2016;16(2):11-17
15马士彬,安裕伦.基于ASTER GDEM数据喀斯特区域地貌类型划分与分析.地理科学,2012;32(3):368-373Ma Shibin,An Yulun.Auto-classification of landform in Karst region based on ASTER GDEM.Scientia Geographica Sinica,2012;32(3):368-373
16黄淑芬,兰安军,马家琼,等.基于遥感影像数字喀斯特地貌信息提取研究---以贵州省关岭县为例.第十八届中国遥感大会论文集.北京:科学出版社,2012:803-810Huang Shufen,Lan Anjun,Ma Jiaqiong,et al.Study on the extraction of karst geomorphological information based on remote sensing image-A case study of Guanling County,Guizhou Province.Proceedings of the 18th China Remote Sensing Conference.Beijing:Science Press,2009:803-810
17杨树文,谢飞,冯光胜,等.基于Spot5图像的岩溶地貌单元自动提取方法.国土资源遥感,2012;24(2):56-60Yang Shuwen,Xie Fei,Feng Guangsheng,et al.Automatic extraction of Karst landscape elements based on Spot 5 image.Remote Sensing for Land&Resources,2012;24(2):56-60
18 Huang W,Deng C,Day M J.Differentiating tower karst(Fenglin)and cockpit karst(Fengcong)using DEM contour,slope,and centroid.Environment Earth Science,2014;72(2):407-416
19 Zhu X W.Karst geomorphology and cave in Guilin.Annals of the Academy of Geologic Science of China.Beijing:Geologic Pressing House,1982:149-150
20贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展.地球科学进展,2013;28(7):774-782Jia Kun,Yao Yunjun,Wei Xiangqin,et al.A review on fractional vegetation cover estimation using remote sensing.Advances in Earth Science,2013;28(7):774-782
21阿如旱,杨持,同丽嘎.基于分形理论的沙漠化土地空间结构---以内蒙古多伦县为例.地理研究,2010;29(2):283-290Aru Han,Yang Chi,Tong Liga.Spatial structure of desertified land based on fractal theory:Taking Duolun County,Inner Mongolia as an example.Geographical Research,2010;29(2):283-290
22周国富.喀斯特峰丛洼地系统土地利用与人口聚落分布---以贵州为例.贵州师范大学学报(自然版),1994;(3):16-21Zhou Guofu.Karst peak cluster-depression system-Land use,population and settlement distribution(An example from Guizhou).Journal of Guizhou Normal University(Natural Sciences),1994;(3):16-21
23李阳兵,罗光杰,白晓永,等.典型峰丛洼地耕地、聚落及其与喀斯特石漠化的相互关系---案例研究.生态学报,2014;34(9):2195-2207Li Yangbing,Luo Guangjie,Bai Xiaoyong,et al.The correlations among arable land,settlement and karst rocky desertification-Cases study based on typical peak-cluster depression.Acta Ecologica Sinica,2014;34(9):2195-2207
24于树梅,刘景时,袁金国.基于SPOT-VGT NDVI的西藏羊卓雍错流域地表覆被变化研究.光谱学与光谱分析,2010;30(6):1570-1574Yu Shumei,Liu Jingshi,Yuan Jinguo.Vegetation change of Yamzho Yumco basin in southern Tibet based on SPOT-VGT NDVI.Spectroscopy and Spectral Analysis,2010;30(6):1570-1574
25杜明义,武文波,郭达志.多源地学信息在土地荒漠化遥感分类中的应用研究.中国图象图形学报,2002;7(7):740-74Du Mingyi,Wu Wenbo,Guo Dazhi.Research on multi-source geographic information based classification of desertification.Journal of Image and Graphics,2002;7(7):740-743