基于遥感和GIS方法的科尔沁沙地边界划定

doi:10.13249/j.cnki.sgs.2014.01.122

地理科学 ›› 2014, Vol. 34 ›› Issue (1): 122-128.doi: 10.13249/j.cnki.sgs.2014.01.122

• • 上一篇

基于遥感和GIS方法的科尔沁沙地边界划定

闫妍^1,^2,³(), 朱教君^1,², 闫巧玲^1,², 郑晓^1,^2,³, 宋立宁^1,²

1.森林与土壤生态国家重点实验室中国科学院沈阳应用生态研究所, 辽宁沈阳 110164
2.辽宁省生态公益林经营管理重点实验室, 辽宁沈阳 110016
3.中国科学院大学, 北京 100049

收稿日期:2013-01-10 修回日期:2013-02-03 出版日期:2014-01-10 发布日期:2014-01-10
作者简介:
作者简介：闫妍(1987-),女,河南驻马店人,博士研究生,主要从事遥感和GIS应用研究。E-mail: yanyan168166@163.com
基金资助:
国家自然科学基金项目(31025007)资助

Demarcation of the Horqin Sandy Land Boundary Based on Remote Sensing and GIS Technique

Yan YAN^1,^2,³(), Jiao-jun ZHU^1,², Qiao-ling YAN^1,², Xiao ZHENG^1,^2,³, Li-ning SONG^1,²

1.State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110164, China
2.Liaoning Key Laboratory for Management of No-commercial Forests, Shenyang, Liaoning 110016, China
3.University of Chinese Academy of Sciences, Beijing 100049, China

Received:2013-01-10 Revised:2013-02-03 Online:2014-01-10 Published:2014-01-10

摘要/Abstract

摘要：

基于已有文献,依据科尔沁沙地的形成历史与早期分布,确定科尔沁沙地的核心区;以核心区为基础,采用生态学取样方法,选取与核心区边界相交的16个方向上的交叉点为样本,以Landsat-5 TM影像为主要数据源,采用光谱混合模型、穗帽变换等遥感和GIS方法,通过反复试验设定阈值,提取每个方向的分界特征,据此勾画出科尔沁沙地的分界线。此后,进行实地考察和Google Earth高清影像验证,最终确定科尔沁沙地生态区域的边界。结果表明,科尔沁沙地面积为52 300 ± 360 km²,验证后精度在94%以上。研究结果为科尔沁沙地生态恢复与环境整治提供确切基础范围。

关键词: 生态学取样, 生态区域, 穗帽变换, 光谱混合分析, 科尔沁沙地

Abstract:

Horqin Sandy Land is one of the key regions for desertification prevention and control in China. However, there is lack of exact boundary of Horqin Sandy Land at present. Subsequently, the control and recovery process of environment in this region is affected. Based on both the existing literatures and the formation history and earlier distribution of the Horqin Sandy Land, the core region of the area was first determined in the present study. Then, 26 intersections for the boundary of the core region from 16 directions were taken as the samples using the ecology sampling method. Remote sensing and GIS methods such as linear spectral mixing model and tasseled cap transformation were adopted to process the Landsat-5 TM images in the study area. Three components after tasseled cap transformation (i.e. brightness, greenness and wettness) were used to identify the sample points in the southern nine directions. Based on multiple replication tests, optimal thresholds were selected by obtaining the demarcation characteristics of each intersection sample and the exact boundary of Horqin Sandy Land was delineated accordingly. The linear spectral mixing model was applied in the northern directions because the sandy land and saline-alkali soil were distributed crossly. Combined with the optimal thresholds, the northern part boundary was delineated accordingly. However, this method was inapplicable to two directions and the thematic map of land use types was used to explore the demarcations. Subsequently, field investigation, high resolution images provided by Google Earth and the permanent geomorphology features were combined to confirm each direction of the final boundary of Horqin Sandy Land. According to the verification, the boundary was adjusted slightly. The results showed that the area of Horqin Sandy Land was 52 300 ± 360 km² with the verification accuracy greater than 94%. The errors were caused mainly by the set of threshold values, precision of spectral unmixing results and the resolution of images. The achievements in the present provide the reference to eco-regionalization and environment monitor and ecological restoration in the definite confines in Horqin Sandy Land.

Key words: ecology sampling, ecological regions, tasseled cap transformation, spectral mixing analysis, Horqin Sandy Land

中图分类号:

Q149/TP753

闫妍, 朱教君, 闫巧玲, 郑晓, 宋立宁. 基于遥感和GIS方法的科尔沁沙地边界划定[J]. 地理科学, 2014, 34(1): 122-128.

Yan YAN, Jiao-jun ZHU, Qiao-ling YAN, Xiao ZHENG, Li-ning SONG. Demarcation of the Horqin Sandy Land Boundary Based on Remote Sensing and GIS Technique[J]. SCIENTIA GEOGRAPHICA SINICA, 2014, 34(1): 122-128.

图/表 7

图1

图2

图3

图4

图5

图6

图7

参考文献 26

[1]	Bailey R G.Identifying ecoregion boundaries[J].Environmental Management,2004,34:S14-S26.
[2]	Hargrove W W,Hoffman F M.Potential of multivariate quantitative methods for delineation and visualization of ecoregions[J].Environmental Management,2004,34(Suppl):S39-60.
[3]	Kumar J,Mills R T,Hoffman F M,et al.Parallel k-Means clustering for quantitative ecoregion delineation using large data sets[J].Proceedings of the International Conference on Computational Science,2011,4:1602-1611.
[4]	Williams K J,Low-Choy S,Rochester W,et al.Expert knowledge and its application in landscape Ecology[M].New York:Springer,2011.
[5]	Hargrove W W,Hoffman F M.Using multivariate clustering to characterize ecoregion borders[J].Computing in Science & Engineering,1999,1(4):18-25.
[6]	郑度,欧阳,周成虎.对自然地理区划方法的认识与思考[J].地理学报,2008,63(6):563~573.
[7]	王涛. 我国沙漠化研究的若干问题——3.沙漠化研究和防治的重点区域[J].中国沙漠,2004,24(1):3~11.
[8]	杜海波,吴正方,李明.近50年东北地区生态地理界线的代际变化[J].地理科学,2011,31(9):1144~1150.
[9]	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[J].地理科学,2012,32(3):368~373.
[10]	朱震达,吴正,刘恕,等.中国沙漠概论(修订版)[M].北京:科学出版社,1980.
[11]	裘善文. 试论科尔沁沙地的形成与演变[J].地理科学,1989,9(4):317~328.
[12]	张柏忠. 北魏至金代科尔沁沙地的变迁[J].中国沙漠,1991,11(1):36~43.
[13]	邹受益,张景龙,冯政夫等.科尔沁沙地荒漠化土地初析[J].中国沙漠,2001,21(1):79~81.
[14]	周德成,赵淑清,朱超.退耕还林还草工程对中国北方农牧交错区土地利用/覆被变化的影响——以科尔沁左翼后旗为例[J].地理科学,2012,32(4):442~449.
[15]	Teillet P M,Barker J L,Markham B L,et al.Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets[J].Remote Sensing of Environment,2001,78:39-54.
[16]	Chander G,Markham B L,Helder D L.Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J].Remote Sensing of Environment,2009,113(5):893-903.
[17]	陈述彭,赵英时.遥感地学分析[M].测绘出版社,1990.
[18]	贾树海,韩志根,吕默楠,等.基于决策树的辽宁省北部沙漠化信息提取研究[J].生态环境学报,2011,20(1) :13~18.
[19]	Piwowar J M,Peddle D R,LeDrew E F.Temporal mixture analysis of Arctic Sea ice imagery:A new approach for monitoring environmental change[J]. Remote Sensing of Environment,1998,63(3):195-207.
[20]	Roberts D A,Gardner M,Church R,et al.Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models[J]. Remote Sensing of Environment,1998,65(3):267-279.
[21]	Zhou X,Folving S.Application of spectral mixture modeling to the regional assessment of land degradation a case-study from Basilicata, Italy[J].Land Degradation and Rehabilitation,1994,5(3):215-222.
[22]	Forman R T T,Godron M.Patches and structural components for a landscape ecology[J].Bioscience,1981,31(10):733-740.
[23]	邬建国,李百炼,伍业钢.缀块性和缀块动态(Ⅰ).概念与机制[J].生态学杂志,1992,11(1):43~47.
[24]	Van der Meer F,De Jong S M.Improving the results of spectral unmixing of Landsat Thematic Mapper imagery by enhancing the orthogonality of end-members[J]. International Journal of Remote Sensing,2000,21(15):2781-2797.
[25]	陈永刚,汤国安,周毅,等.基于多方位DEM地形晕渲的黄土地貌正负地形提取[J].地理科学,2012,32(1):105~109.
[26]	肖飞,杜耘, Parrot J F,等.基于DEM的平原区人工微地貌数字提取方法探讨[J].地理科学,2011,31(6):647~653.

基于遥感和GIS方法的科尔沁沙地边界划定

Demarcation of the Horqin Sandy Land Boundary Based on Remote Sensing and GIS Technique

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 26

相关文章 5

Metrics

本文评价

推荐阅读 0

[1]	杜会石, 哈斯额尔敦, 李爽, 赵艺源, 孙小旭. 科尔沁沙地风沙与湖泊景观演变及影响因素分析[J]. 地理科学, 2018, 38(12): 2109-2117.
[2]	杨林海, 赖忠平, 周杰, 隆浩, 张静然. 光释光测年和孢粉分析揭示的晚冰期以来科尔沁沙地演化过程[J]. 地理科学, 2011, 31(6): 695-701.
[3]	任国玉. 科尔沁沙地东南缘近3000年来植被演化与人类活动[J]. 地理科学, 1999, 19(1): 42-48.
[4]	赵永平, 徐斌, 黄芳, 王一谋. 基于专题图形库系统的科尔沁沙地动态研究[J]. 地理科学, 1998, 18(1): 33-38.
[5]	裘善文. 试论科尔沁沙地的形成与演变[J]. 地理科学, 1989, 9(4): 317-328,387.