Land-cover mapping in the Nujiang Grand Canyon: integrating spectral, textural, and topographic data in a random forest classifier

Author：  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.34, Iss.21, 2013-11, pp. : 7545-7567

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping

By Kavzoglu Taskin   Colkesen Ismail  

International Journal of Remote Sensing, Vol. 34, Iss. 12, 2013-06 ,pp. : 4224-4241

Taylor & Francis Ltd

Access to resources Recommend Favorite

The integrated use of optical and InSAR data for urban land-cover mapping

By Amarsaikhan D.   Ganzorig M.   Ache P.   Blotevogel H.  

International Journal of Remote Sensing, Vol. 28, Iss. 6, 2007-01 ,pp. : 1161-1171

Taylor & Francis Ltd

Access to resources Recommend Favorite

Mapping land cover from detailed aerial photography data using textural and neural network analysis

By Cots-Folch R.   Aitkenhead M. J.   Martínez-Casasnovas J. A.  

International Journal of Remote Sensing, Vol. 28, Iss. 7, 2007-01 ,pp. : 1625-1642

Taylor & Francis Ltd

Access to resources Recommend Favorite

Deriving terrain and textural information from stereo RADARSAT data for mountainous land cover mapping

By Peng Xulong   Wang Jinfei   Zhang Qiaofeng  

International Journal of Remote Sensing, Vol. 26, Iss. 22, 2005-11 ,pp. : 5029-5049

Taylor & Francis Ltd

Access to resources Recommend Favorite

Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach

By Ban Yifang   Hu Hongtao   Rangel I. M.  

International Journal of Remote Sensing, Vol. 31, Iss. 6, 2010-02 ,pp. : 1391-1410

Taylor & Francis Ltd

Access to resources Recommend Favorite