Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale

Clapham, W.B.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale

Clapham, W.B.

Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale

Clapham, W.B.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale

Contributors:

Clapham, W.B. (author)

Published in:

Remote sensing of environment ; 86

Publication date:

2003

ISSN:

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Erde , Umweltveränderung , Fernerkundung , Umweltforschung , Umweltüberwachung , Umweltschaden

Classification:

BKL: 43.03 Methoden der Umweltforschung und des Umweltschutzes / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie

Similar titles

Effects of rapid urban sprawl on urban forest carbon stocks: Integrating remotely sensed, GIS and forest inventory data

Ren, Yin | Online Contents | 2012

Interpretation of Airphotos and Remotely Sensed Imagery

Arnold, Robert H. | Online Contents | 1997

Predicting Future Landslides with Remotely Sensed Imagery

Mason, P. J. / Rosenbaum, M. S. / Moore, J. M. | British Library Conference Proceedings | 2000

Deep Learning for Urban and Landscape Mapping from Remotely Sensed Imagery

Lai, Feilin / Sharma, Atharva / Liu, Xiuwen et al. | Wiley | 2021

REGULAR PAPERS - Classification and Hyperspectral Analysis - Fuzzy Rule-Based Classification of Remotely Sensed Imagery

Bárdossy, A. | Online Contents | 2002