Research Advance in Remote Sensing to Land Desertification Monitoring

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Abstract:

This Land desertification has been a worldwide ecological and environmental problem. It is the significance for effective remedy of land desertification to monitor the desertification ,know well the present situation ,intensity as well as dynamic variation rules of the desertification. In recent years, remote sensing has become an important technology to monitor land desertification.Firstly, we summarize the research progress in monitoring land desertification using remote sensing data acquisition.Then, we discuss about themethods to extract information of land desertification from remote sensing image, which includes artificial visual interpretation, supervised classification, unsupervised classification, hierarchical decision tree classification, neural network classification and spectral mixture analysis£¬and also we comprehensively compare the strength and weaknesses of each method. Finally, We point out the problems in the remote sensing technology application to land desertification monitoring and put forward the development prospects in the application of remote sensing to monitoring land desertification.

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Periodical:

Advanced Materials Research (Volumes 864-867)

Pages:

2817-2820

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Online since:

December 2013

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[1] UNCCD. United Nations convention to combat desertification in those countries experiencing seriousdroughtand/ordesertificationparticularlyinAfrica. Paris, 1994. http: /www. unccd. int/convention/text/convention. php.

DOI: 10.1163/1570-6664_iyb_sim_org_52491

Google Scholar

[2] T. Wang and W. Wu, Spatial-temporal Changes of Sandy Desertified Land During Last 5 Decades in Northern China, Acta Geographica Sinica, vol. 59(2), 2004, pp.203-212.

Google Scholar

[3] Y.Y. Li and X.C. Yang, The Application of Remote Sensing Technology to LandDesertificationMonitoring, progressingeography, vol. 28(1), 2009, pp.55-61.

Google Scholar

[4] P. Yang and G.R. Dong, The Application of the Remote Sensing in the General Investigation of DesertificationinTibetandtheValuationofPrecision, RemoteSensingTechnologyandApplication , vol. 13(4), 1998, pp.14-20.

Google Scholar

[5] Z. Bian, StudiesofDesertifieationMonitoringMethodsBasedonRemoteSensingTeehniques, D. in PhD theis, Beijing Forestry University, 2011, pp.9-10.

Google Scholar

[6] S. Ringrose,W. Matheson, ThedevelopmentandeausesofRangeDegradationFeatUresinSoutheastBotswanausingMultitemPoralLand, satMSSImageryPhotogramMetricEngineeringandRemoteSensing, vol. 56(9), 1990. 56, pp.1253-1262.

Google Scholar

[7] X.L. Mao, Nonsupervising Digital Classification and GIS in the Dynamic Monitoring of Soil Desertification Application, Journal of Northwest Forestry University, vol. 20(3), 2005, pp.6-9.

Google Scholar

[8] M.Y. Du, Research on the application of decision tree in desertification classification, Science of Surveying and Mapping, vol. 31(2), 2006, pp.81-82.

Google Scholar

[9] P.L. Qiao, An Artificial Neural Network Method for the Information of Desertification Extraction, Acta Geodaetica et Cartographica Sinica, vol. 33(1), 2004, pp.58-62.

Google Scholar

[10] T. Maarten,F. GerrltEPema, SpectralmixtureanalysisformaPPinglanddegradationinsemiaridareas, GeologieEnMijnbouw, 1999(77), pp.153-160.

Google Scholar