Statistical learning algorithms for identifying contrasting tillage practices with Landsat Thematic Mapper data

Author： Samui Pijush   Gowda Prasanna H.   Oommen Thomas   Howell Terry A.   Marek Thomas H.   Porter Dana O.  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.33, Iss.18, 2012-09, pp. : 5732-5745

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

Assessing wildfire effects with Landsat thematic mapper data

By Kushla J. D.   Ripple W. J.  

International Journal of Remote Sensing, Vol. 19, Iss. 13, 1998-09 ,pp. : 2493-2507

Taylor & Francis Ltd

Access to resources Recommend Favorite

Assessment of the distribution of aerosols in the area of Athens with the use of Landsat Thematic Mapper data

By Retalis A.   Cartalis C.   Athanassiou E.  

International Journal of Remote Sensing, Vol. 20, Iss. 5, 1999-03 ,pp. : 939-945

Taylor & Francis Ltd

Access to resources Recommend Favorite

Assessment of coral reef bathymetric mapping using visible Landsat Thematic Mapper data

By Liceaga-Correa M. A.   Euan-Avila J. I.  

International Journal of Remote Sensing, Vol. 23, Iss. 1, 2002-01 ,pp. : 3-14

Taylor & Francis Ltd

Access to resources Recommend Favorite

The use of Landsat Thematic Mapper data for mapping and correlation of Quaternary geomorphic surfaces in the southern Whipple Mountains, California

By Beratan K. K.   Anderson R.  

International Journal of Remote Sensing, Vol. 19, Iss. 12, 1998-08 ,pp. : 2345-2359

Taylor & Francis Ltd

Access to resources Recommend Favorite

Improved classification of Landsat Thematic Mapper data using modified prior probabilities in large and complex landscapes

By Pedroni L.  

International Journal of Remote Sensing, Vol. 24, Iss. 1, 2003-01 ,pp. : 91-113

Taylor & Francis Ltd

Access to resources Recommend Favorite