地球科学进展 ›› 2011, Vol. 26 ›› Issue (3): 266 -274. doi: 10.11867/j.issn.1001-8166.2011.03.0266

综述与评述 上一篇    下一篇

喀斯特石漠化信息遥感提取的不确定性
岳跃民 1,4, 王克林 1,4, 张兵 2, 刘波 3, 陈洪松 1,4, 张明阳 1,4   
  1. 1.中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室,湖南长沙410125; 
    2.中国科学院对地观测与数字地球科学中心,北京100080; 3. 中国科学院遥感应用研究所遥感科学
    国家重点实验室,北京100101;4. 中国科学院环江喀斯特生态系统观测研究站, 广西环江547100
  • 收稿日期:2010-08-07 修回日期:2010-11-24 出版日期:2011-03-10
  • 通讯作者: 岳跃民 E-mail:hnyym829@163.com
  • 基金资助:

    国家自然科学基金项目“桂西北喀斯特区域植被演替及其驱动机制研究”(编号:41071340)和“基于光谱和空间邻域分析的石漠化信息遥感反演研究”(编号:41001287);中国科学院“西部之光”人才培养计划博士资助项目“石漠化治理生态工程评估关键生态因子遥感监测研究”资助.

Uncertainty of Remotely Sensed Extraction of Information of Karst Rocky Desertification

Yue Yuemin 1,4, Wang Kelin 1,4, Zhang Bing 2, Liu Bo 3, Chen Hongsong 1,4, Zhang Mingyang 1,4   

  1. 1. Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha410125, China;
    2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing100080, China;
    3. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing100101, China;
    4. Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, Huanjiang547100, China
  • Received:2010-08-07 Revised:2010-11-24 Online:2011-03-10 Published:2011-03-10

我国西南喀斯特地区以石漠化为特征的生态环境退化严重,遥感是快速、大面积石漠化定性评价、关键指标定量提取必不可少的手段。在简述喀斯特生态地质背景复杂性的基础上,系统分析了目前喀斯特石漠化信息遥感提取在遥感数据源、提取方法、精度验证、不确定性源等方面的问题,并提出未来石漠化遥感监测的重点研究内容。

Karst rocky desertification is the most serious problem of land degradation in karst regions, southwest China. Because of the inherent merits of remote sensing, it is the inevitable method to assess and monitor the degree and extent of karst rocky desertification at large scale. This article firstly reviewed the complexity of karst eco-geo-environmental conditions. Then it focused on the issues of the limitations of remote sensing data and existing methods, validation, and the fundamental reasons for uncertainties of remotely sensed extraction of karst rocky desertification. At last, this article presented and suggested that the new trends of remotely sensed monitoring karst rocky desertification. 

中图分类号: 

[1] Parise M, Waele J D, Gutierrez F. Current perspectives on the environmental impacts and hazards in karst[J]. Environmental Geology,2009, 58:235-237.
[2]Yuan Daoxian. Process in the study on karst processes and carbon cycle[J]. Advances in Earth Science,1999, 14(5): 427-432.[袁道先. “岩溶作用与碳循环”的研究进展[J]. 地球科学进展,1999,14(5): 427-432.]
[3]Liu Congqiang, Lang Yunchao, Liu Siliang, et al. Researches on bigeochemical processes and nutrient cycling in karstic ecological systems, southwest China[J]. Earth Science Frontiers,2009, 16(6): 1-12.[刘丛强, 郎赟超, 刘思亮,等. 喀斯特生态系统生物地球化学过程与物质循环研究[J].地学前缘,2009, 16(6):1-12.]
[4]Ju Jianhua, Dai Chuangu, Kuang Shunda, et al. Remotely Sensed Monitoring and Prevent Program of Karst Rocky Desertification[M]. Beijing: Geological Press, 2006.[鞠建华,戴传固,况顺达,等. 岩溶石漠化遥感监测与防护规划[M]. 北京:地质出版社,2006.]
[5]Wang Shijie, Li Yangbing. Problems and development trends about researches on karst rocky desertification[J].Advances in Earth Science,2007, 22(6): 474-483.[王世杰,李阳兵. 喀斯特石漠化研究存在的问题与发展趋势[J]. 地球科学进展, 2007, 22(6): 474-483.]
[6]Yuan Daoxian, Zhang Cheng. Karst dynamics theory in China and its practice[J]. Acta Geoscientica Sinica, 2008, 29(3): 355-365.[袁道先,章程. 岩溶动力学的理论探索与实践[J]. 地球学报, 2008, 29(3): 355-365.]
[7]Wang Jinhua, Li Sen, Li Huixia, et al. Classifying indices and remote sensing image characters of rocky desertification lands: A case of karst region in northern Guangdong province[J].Journal of Desert Research,2007,27(5):765-770.[王金华,李森,李辉霞,等. 石漠化土地分级指征及其遥感影像特征分析——以粤北岩溶山区为例[J].中国沙漠,2007,27(5):765-770.]
[8]Wu Hong, Chen Sanming, Li Jinwen. Remote sensing analysis and prognosis of desertification in Du′an[J].Remote Sensing for Land & Resources, 2002, 2: 15-21.[吴虹,陈三明,李锦文. 都安石漠化趋势遥感分析与预测[J].国土资源遥感,2002,2:15-21.]
[9]Li Yangbing, Wang Shijie, Tan Qiu, et al. Research development and problems of karst rocky desertification[J].Earth and Environment,2006, 34(3): 9-14.[李阳兵, 王世杰, 谭秋, 等. 喀斯特石漠化的研究现状与存在的问题[J]. 地球与环境, 2006, 34(3): 9-14.]
[10]Li Yangbing, Bai Xiaoyong, Zhou Guofu, et al. The relationship of land use with karst rocky desertification in a typical karst area, China[J].Acta Geographica Sinica, 2006, 61(6): 624-632.[李阳兵, 白晓永, 周国富, 等. 中国典型石漠化地区土地利用与石漠化的关系[J]. 地理学报, 2006, 61(6): 624-632.][11]Yue Yuemin. Extraction of Indicators for Remotely Sensed Evaluation of Karst Rocky Desertification Based on Spectral and Spatial Neighborhood Information[D]. Changsha: Institute of Subtropical Agriculture, Chinese Academy of Sciences, 2010.[岳跃民. 基于光谱和空间邻域信息的石漠化遥感评价因子提取研究[D]. 长沙: 中国科学院亚热带农业生态研究所, 2010.]
[12] Gao Yongnian, Zhang Wanchang. Simplification and modification of a physical topographic correction algorithm for remotely sensed data[J].Acta Geodaetica et Cartographica Sinica, 2008, 37(1): 89-94.[高永年, 张万昌. 遥感影像地形校正物理模型的简化与改进[J]. 测绘学报, 2008, 37(1): 89-94.]
[13] Yuan Daoxian. World correlation of karst ecosystem: Objectives and implication plan[J].Advances in Earth Science,2001, 16(4): 461-466.[袁道先. 全球岩溶生态系统对比:科学目标和执行计划[J]. 地球科学进展, 2001, 16(4): 461-466.]
[14]Hu Baoqing, Huang Qiuyan, Liao Chimei, et al. Spatial correlation analysis of karst rocky desertification and soil type based on RS & GIS—A case study at Du′an Yao autonomous county of Guangxi province[J].Bulletin of Soil and Water Conservation, 2004, 24(5): 67-70.[胡宝清, 黄秋燕, 廖赤眉, 等. 基于GIS与RS的喀斯特石漠化与土壤类别的空间相关性分析——以广西都安瑶族自治县为例[J]. 水土保持通报, 2004, 24(5): 67-70.]
[15]Jiang Shufang, Hu Baoqing, Huang Qiuyan, et al. Spatial correlation analysis between karst desertification and lithology in Du′an Yao autonomous county of Guangxi[J].Geotectonica et Metallogenia, 2004, 28 (2): 214-219. [蒋树芳, 胡宝清, 黄秋燕, 等. 广西都安喀斯特石漠化的分布特征及其与岩性的空间相关性[J]. 大地构造与成矿学, 2004, 28(2): 214-219.]
[16]Wang Shangyan, Kuang Shunda, Dai Chuangu, et al. Analysis on the reason of rocky desertification speed difference of dolomite and limestone in mountain area[J].Guizhou Geology,2009, 26 (1): 49-52.[王尚彦, 况顺达, 戴传固, 等. 白云岩和石灰岩山区石漠化速度差异原因分析[J]. 贵州地质, 2009, 26 (1): 49-52.]
[17]Li Ruiling, Wang Shijie, Zhou Dequan, et al. The correlation between rocky desertification and lithology in karst area of Guizhou[J].Acta Geographica Sinica,2003, 58(2): 314-320.[李瑞玲, 王世杰, 周德全,等. 贵州岩溶地区岩性与土地石漠化的相关性分析[J]. 地理学报, 2003, 58(2): 314-320.]
[18]Wang S J, Li R L, Sun C X, et al. How types of carbonate rock assemblages constrain the distribution of karst rocky deserfitied land in Guizhou province, PR China: Phenomena and Mechanisms[J]. Land Degradation & Development,2004, 15: 123-131.
[19] Wang Shijie, Li Yangbing. Discussion on the classification of karst rocky desertification in ecological constructions[J].Carsologica Sinca,2005, 24 (3): 192-195.[王世杰, 李阳兵. 生态建设中的喀斯特石漠化分级问题[J]. 中国岩溶, 2005, 24 (3): 192-195.]
[20] Li Ruiling, Wang Shijie, Xiong Kangning, et al. A study on rocky desertification evaluation index system—A case study of Guizhou province[J].Tropical Geography,2004, 24(2): 145-149.[李瑞玲,王世杰,熊康宁,等. 喀斯特石漠化评价指标体系探讨——以贵州省为例[J]. 热带地理,2004, 24(2): 145-149.]
[21] Cao Jianhua, Yuan Daoxian, Zhang Cheng, et al. Karst Ecosystem of Southwest China Constrained by Geological Setting[M]. Beijing: Geological Press, 2005.[曹建华,袁道先,章程,等. 受地质条件制约的中国西南岩溶生态系统[M]. 北京:地质出版社,2005.]
[22] Zhou Yunchao, Wang Shijie, Lu Hongmei. Spatial distribution of soils during the process of karst rocky desertification[J].Earth and Environment,2010, 38(1): 1-7.[周运超, 王世杰, 卢红梅. 喀斯特石漠化过程中土壤的空间分布[J]. 地球与环境, 2010, 38(1): 1-7.]
[23]Long Jian, Jiang Xinrong, Deng Qiqiong, et al. Characteristics of soil rocky desertification in the karst region of Guizhou province[J]. Acta Pedologica Sinica, 2005, 42(3): 419-427.[龙健, 江新荣, 邓启琼, 等. 贵州喀斯特地区土壤石漠化的本质特征研究[J]. 土壤学报, 2005, 42(3): 419-427.]
[24]Liu Fang, Wang Shijie, Liu Yuansheng, et al. Changes of soil quality in the process of karst rocky desertification and evaluation of impact on ecological environment[J].Acta Ecological Sinica, 2010, 25(3): 639-644.[刘方, 王世杰, 刘元生, 等. 喀斯特石漠化过程土壤质量变化及生态环境影响评价[J]. 生态学报, 2010, 25(3): 639-644.]
[25]Mo Bin, Cao Jianhua, Xu Xiangming, et al. Evaluation of early warning indicators of soil quality degeneration in the process of karst rocky desertification[J].Research of Soil and Water Conservation, 2007, 14(3): 16-18.[莫彬, 曹建华, 徐祥明, 等. 岩溶石漠化演替阶段土壤质量退化的预警指标评价[J]. 水土保持研究, 2007, 14(3): 16-18.]
[26] Liang Shunlin. Fan Wenjie transtated.Quantitative Remote Sensing of Land Surfaces[M].Beijing: Science Press,2009.[梁顺林著. 范闻捷,译. 定量遥感[M].北京: 科学出版社, 2009.]
[27] Tong Qingxi, Zhang Bing, Zheng Lanfen. Hyperspectral Remote Sensing[M]. Beijing: Higher Education Press, 2006.[童庆禧, 张兵, 郑兰芬. 高光谱遥感——原理、技术与应用[M]. 北京:高等教育出版社, 2006.]
[28]Hill J, Megier J, Mehl W. Land degradation, soil erosion and desertification monitoring in Mediterranean ecosystems[J].Remote Sensing of Environment,1995, 12: 237-260.
[29]Huete A R, Miura T, Gao X. Land cover conversion and degradation analyses through coupled soilplant biophysical parameters derived from hyperspectral EO1 Hyperion[J]. IEEE Transactions on Geoscience and Remote Sensing,2003, 41(6): 1 268-1 276.
[30]Gill T K, Phinn S R. Improvements to ASTERderived fractional estimates of bare ground in a Savanna rangeland[J].IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(2): 662-670.
[31]Xiong Kangning, Li Ping, Zhou Zhongfa, et al. The RS and GIS Representative Study on Karst Rocky Desertification—An Example of Guizhou Province[M]. Beijing: Geological Press, 2002.[熊康宁, 黎平, 周忠发, 等. 喀斯特石漠化的遥感GIS典型研究——以贵州省为例[M]. 北京: 地质出版社, 2002.][32]Hu Juan, Xiong Kangning, An Yulun. The application of CBERS02 image in remote sensing interpretation for karst rock desertification——With a special reference of Qiannnan prefecture, Guizhou province[J].Journal of Guizhou Nornal University (Natural Sciences),2008,26(2): 39-42.[胡娟,熊康宁,安裕伦.CBERS 02数据在喀斯特石漠化遥感调查中的应用——以贵州黔南布依族自治州为例[J]. 贵州师范大学学报:自然科学版,2008,26(2): 39-42.]
[33] CamachoDe Coca F, GarciaHaro F J, Gilabert M A, et al. Vegetation cover seasonal changes assessment from TM imagery in a semiarid landscape[J]. International Journal of Remote Sensing, 2004, 25(17): 3 451-3 475.
[34]Guerschman J P, Hill M J, Renzullo L J, et al. Estimating fractional cover of photosynthetic vegetation, nonphotosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO1 Hyperion and MODIS sensors[J].Remote Sensing of Environment,2009, 113: 928-945.
[35] JimenezMunoz J C, Sobrino J A, Plaza A, et al. Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis: Case study of PROBA/CHRIS data over an agricultural area[J]. Sensors, 2009, 9: 768-793.
[36]Tong Liqiang. A method for extracting remote sensing information from rocky desertification in southwest China[J].Remote Sensing for Land & Resources,2003, 4:33-35.[童立强.西南岩溶石山地区石漠化信息自动提取技术研究[J].国土资源遥感,2003,(4):33-35.]
[37]Huang Q H, Cai Y L. Mapping karst rock in southwest China[J].Mountain Research and Development,2009, 29(1): 14-20.
[38]Wan Jun, Cai Yunlong. Applying linear spectral unmixing approach to the research of land cover change in karst area: A case in Guanling county of Guizhou province[J].Geographical Research,2003, 22(4): 439-446.[万军, 蔡运龙. 应用线性光谱分离技术研究喀斯特地区土地覆被变化——以贵州省关岭县为例[J]. 地理研究, 2003, 22(4): 439-446.]
[39]Yue Y M , Zhang B, Wang K L, et al. Spectral indices for estimating ecological indicators of karst rocky desertification[J]. International Journal of Remote Sensing,2010, 31(8): 2 115-2 122.
[40]Price J C. How unique are spectral signatures?[J].Remote Sensing of Environment,1994, 49: 181-186.
[41]Liu Bo, Yue Yuemin, Li Ru, et al. On the relation between fraction cover and mixed spectra in karst environment[J].Spectroscopy and Spectral Analysis, 2010, 30(9): 2 470-2 474.[刘波, 岳跃民, 李儒, 等. 喀斯特典型地物混合光谱与复合覆盖度关系研究[J]. 光谱学与光谱分析, 2010, 30(9): 2 470-2 474.]
[42]Foody G M. Status of land cover classification accuracy assessment[J]. Remote Sensing of Environment,2002, 80: 185-201.
[43]Wang Futao, Wang Shixin, Zhou Yi, et al. Review on topographic correction algorithm for remotely sensed imagery[J]. Journal of Remote Sensing, 2009, 13(Suppl.): 310-313.[王福涛, 王世新, 周艺, 等. 遥感影像中地形辐射校正研究综述[J]. 遥感学报, 2009,13(增刊):310-313.]
[44] Jensen J R,Chen Xiaoling, Gong Wei, et al. translated. Introductory Digital Image Processing: A Remote Sensing Perspective[M]. Beijing: China Machine Press, 2007.[Jensen J R著. 陈晓玲, 龚威, 李平湘,等译. 遥感数字图像处理导论(原书第3版)[M].北京: 机械工业出版社, 2007.]
[45]FAO/UNEP. Provisional Methodology for Assessment and Mapping of Desertification[M]. Rome:FAO, 1984.
[46]Yang X, Zhang K, Jia B, et al. Desertification assessment in China: An overview[J].Journal of Arid Environments,2005, 63: 517-531.
[47]Wang Xunming, Chen Fahu, Hasi Eerdun, et al. Desertification in China: An assessment[J].EarthScience Reviews,2008, 88:188-206.
[48]Tian Qingjiu, Gong Peng. The status and trend of material spectral database[J].Remote Sensing Information,2002, 3: 2-6, 46.[田庆久,宫鹏. 地物波谱数据库研究现状与发展趋势[J]. 遥感信息,2002, 3: 2-6, 46.]
[49]Geng Xiurui. Target Detection and Classification for Hyperspectral Imagery[D]. Beijing:Institute of Remote Sensing Applications, Chinese Academy of Sciences, 2004.[耿修瑞. 高光谱遥感图像目标探测与分类技术研究[D].北京:中国科学院遥感应用研究所, 2004.][
[50]Gong Xuejing, Ci Linlin, Yao Kangze. Parallel implementation of neighborbased FCM clustering for remote sensing image[J].Journal of Computer Applications,2007, 27(10): 2 512-2 515.[龚雪晶, 慈林林, 姚康泽. 基于邻域信息的遥感图像模糊聚类及并行算法设计[J]. 计算机应用, 2007, 27(10): 2 512-2 515.]
[51]Kenneth R C. Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry,2002.

[1] 单薪蒙, 温家洪, 王军, 胡恒智. 深度不确定性下的灾害风险稳健决策方法评述[J]. 地球科学进展, 2021, 36(9): 911-921.
[2] 王忠静,石羽佳,张腾. TRMM遥感降水低估还是高估中国大陆地区的降水?[J]. 地球科学进展, 2021, 36(6): 604-615.
[3] 崔林丽, 史军, 杜华强. 植被物候的遥感提取及其影响因素研究进展[J]. 地球科学进展, 2021, 36(1): 9-16.
[4] 吴佳梅,彭秋志,黄义忠,黄亮. 中国植被覆盖变化研究遥感数据源及研究区域时空热度分析[J]. 地球科学进展, 2020, 35(9): 978-989.
[5] 董治宝,吕萍,李超. 火星风沙地貌研究方法[J]. 地球科学进展, 2020, 35(8): 771-788.
[6] 刘元波, 吴桂平, 赵晓松, 范兴旺, 潘鑫, 甘国靖, 刘永伟, 郭瑞芳, 周晗, 王颖, 王若男, 崔逸凡. 流域水文遥感的科学问题与挑战[J]. 地球科学进展, 2020, 35(5): 488-496.
[7] 刘磊,翁陈思,李书磊,胡帅,叶进,窦芳丽,商建. 太赫兹波被动遥感冰云研究现状及进展[J]. 地球科学进展, 2020, 35(12): 1211-1221.
[8] 李浩杰,李弘毅,王建,郝晓华. 河冰遥感监测研究进展[J]. 地球科学进展, 2020, 35(10): 1041-1051.
[9] WangJingfeng,刘元波,张珂. 最大熵增地表蒸散模型:原理及应用综述[J]. 地球科学进展, 2019, 34(6): 596-605.
[10] 尤元红,黄春林,张莹,侯金亮. Noah-MP模型中积雪模拟对参数化方案的敏感性评估[J]. 地球科学进展, 2019, 34(4): 356-365.
[11] 陈泽青,刘诚,胡启后,洪茜茜,刘浩然,邢成志,苏文静. 大气成分的遥感监测方法与应用[J]. 地球科学进展, 2019, 34(3): 255-264.
[12] 冉有华,李新. 中国多年冻土制图:进展、挑战与机遇[J]. 地球科学进展, 2019, 34(10): 1015-1027.
[13] 肖雄新, 张廷军. 基于被动微波遥感的积雪深度和雪水当量反演研究进展[J]. 地球科学进展, 2018, 33(6): 590-605.
[14] 栾海军, 田庆久, 章欣欣, 聂芹, 朱晓玲. 定量遥感地表参数尺度转换研究趋势探讨[J]. 地球科学进展, 2018, 33(5): 483-492.
[15] 沈有信, 赵志猛, 毕胜春, 赵高卷, 刘娟. 陆地系统中的露石及其生态作用[J]. 地球科学进展, 2018, 33(4): 343-349.
阅读次数
全文


摘要