| Technology and Methodology |
|
|
|
|
|
Soil classification of Qinghai Lake basin based on remote sensing |
| LIU Juan1,2, CAI Yanjun1, WANG Jin1,2 |
1. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Acdemy of Science, Xi'an 710075, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
|
|
Abstract The aim of this study is to test the feasibility of soil classification based on remote sensing in a typical area of Qinghai Lake basin. The authors employed TM image and terrain data as main data sources, and used GeoEye-1 high-resolution remote sensing images and soil map as auxiliary data sources. The TM image was processed to extract classification features by using a variety of image processing techniques, which included such means as principal component analysis, tasseled cap transformation, and band math. Supported by ArcGIS9.3 software, the authors detected several topographical features with DEM, such as elevation, slope and aspect. Then, the authors incorporated all classification features into a dataset, and used maximum likelihood classifier of supervision to classify the soil of the test area. The results suggest that the combination of remote sensing image with terrain data can distinguish nine soil subcategories and one non-soil unit. The overall classification accuracy can reach 91.76%.
|
| Keywords
data fusion
NDVI
Xilin Hot
biomass estimation model
|
|
|
|
Issue Date: 08 January 2014
|
|
|
| [1] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社, 2003. Zhao Y S.The principles and methods for analysis and application of remote sensing[M].Beijing:Science Press, 2003.[2] Odeh I O A, McBratney A B, Chittleborough D J.Further results on prediction of soil properties from terrain attributes:Heterotopicco kriging and regression-kriging[J].Geoderma, 1995, 67(3/4):215-226.[3] Dobos E, Micheli E, Baumgardner M F, et al.Use of combined digital elevation model and satellite radiometric data for regional soil mapping[J].Geoderma, 2000, 97(3/4):367-391.[4] Dobos E, Montanarella L, Negre T, et al.A regional scale soil mapping approach using integrated AVHRR and DEM Data[J].International Journal of Applied Earth Observation and Geoinformation, 2001, 3(1):30-42.[5] 沙晋明, 史舟, 王人潮, 等.东南山区土壤遥感监测的图像处理及分类[J].水土保持学报, 2000, 14(1):38-43, 47. Sha J M, Shi Z, Wang R C, et al.Image processing and classification of soil surveying by remote sensing in southeast mountain area[J].Journal of Soil and Water Conservation, 2000, 14(1):38-43, 47.[6] 亢庆, 张增祥, 赵晓丽.基于MODIS产品的区域土壤遥感分类研究——以新疆为例[J].遥感技术与应用, 2007, 22(6):690-695. Kang Q, Zhang Z X, Zhao X L.A regional scale soil classification approach based on MODIS data[J].Remote Sensing Technology and Application, 2007, 22(6):690-695.[7] 亢庆, 张增祥, 赵晓丽.基于遥感技术的干旱区土壤分类研究[J].遥感学报, 2008, 12(1):159-167. Kang Q, Zhang Z X, Zhao X L.A study of soil classification based on remote sensing in arid area[J].Journal of Remote Sensing, 2008, 12(1):159-167.[8] 陈桂琛, 陈孝全, 苟新京.青海湖流域生态环境保护与修复[M].西宁:青海人民出版社, 2008:18-39. Chen G S, Chen X Q, Gou X J.Protection and restoration of the ecological environment at Qinghai Lake basin[M].Xining:The Peoples Press of Qinghai, 2008:18-39.[9] 梅安新, 彭望琭, 秦其明, 等.遥感导论[M].北京:高等教育出版社, 2001. Mei A X, Peng W L, Qin Q M, et al.Introduction to remote sensing[M].Beijing:Higher Education Press, 2001.[10] 罗红霞, 龚健雅, 蹇代君.亚热带低山丘陵区土壤遥感监测图像处理[J].长江流域资源与环境, 2006, 15(1):41-47. Luo H X, Gong J Y, Jian D J.Image processing of soil survey by remote sensing in subtropical hilly lands[J].Resources and Environment in the Yangtze basin, 2006, 15(1):41-47.[11] Crist E P, Cicone R C.A physically-based transformation of thematic mapper data-the TM tasseled cap[J].IEEE Transactions on Geoscience and Remote Sensing, 1984, 22(3):256-263.[12] 邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社, 2010. Deng S B.Image processing methods of remote sensing by ENVI[M].Beijing:Science Press, 2010.[13] Mcfeeters S K.The use of normalized difference water index(NDWI)in the delineation of open water feature[J].International Journal of Remote Sensing, 1996, 17(7):1425-1423.[14] 赵英时.美国中西部沙山地区环境变化的遥感研究[J].地理研究, 2001, 20(2):213-219. Zhao Y S, A study on environmental change analysis in sand hill of Nebraska using remote sensing[J].Geographical Research, 2001, 20(2):213-219. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2014,
Vol. 26
