Estimation of land coverage from a land cover classification derived from remotely sensed data

Giles Foody

doi:10.1007/bf00807952

Estimation of land coverage from a land cover classification derived from remotely sensed data

GeoJournal 36(4): 361-370

Article 1995 English

Abstract

1 min read

Remotely sensed data are an attractive source of land cover information. In many applications the required information relates to the extent or coverage of

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article1998

A fuzzy classification of sub-urban land cover from remotely sensed imagery

J. Zhang, Giles Foody

International Journal of Remote Sensing

Article1995

Land cover classification by an artificial neural network with ancillary information

Giles Foody

International Journal of Geographical Information Systems

Article2000

Estimation of sub-pixel land cover composition in the presence of untrained classes

Giles Foody

Computers & Geosciences

Chapter in a book1997

Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accommodating Fuzziness

Giles Foody

Article1998

<title>Soft classifications for the mapping of land cover from remotely sensed data</title>

Giles Foody

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Estimation of land coverage from a land cover classification derived from remotely sensed data

Abstract

Discussion(0)

Related publications

A fuzzy classification of sub-urban land cover from remotely sensed imagery

Land cover classification by an artificial neural network with ancillary information

Estimation of sub-pixel land cover composition in the presence of untrained classes

Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accommodating Fuzziness

&lt;title&gt;Soft classifications for the mapping of land cover from remotely sensed data&lt;/title&gt;

<title>Soft classifications for the mapping of land cover from remotely sensed data</title>