Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods: Fid-Bau Portal

Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods

WIJAYA, A. / GLOAGUEN, R.

Access

Download

Check availability in my library

Page navigation

Document information

Similar titles

Export, share and cite

Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods

WIJAYA, A. / GLOAGUEN, R.

Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods

WIJAYA, A. / GLOAGUEN, R.

Access

Download

Check availability in my library

Page navigation

Document information

Similar titles

Export, share and cite

Document information

Title:

Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods

Contributors:

WIJAYA, A. (author) / GLOAGUEN, R. (author)

Conference:

Wissenschaftlich-Technische Jahrestagung der DGPF ; 29. ; 2009 ; Jena

Published in:

Zukunft mit Tradition

Publication date:

2009

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

German

Keywords:

Fernerkundung , Fotogrammetrie , Geoinformationssystem

Classification:

BKL: 74.48 Geoinformationssysteme / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie

Chen, Bin | Online Contents | 2017

Classification of forest land attributes using multi-source remotely sensed data

Pippuri, Inka | Online Contents | 2016

Land-cover Classification of Remotely Sensed Data Using Kalman Filtering

Okutani, I. / Wu, H. | British Library Online Contents | 1997

Decision Tree Classification of Land Cover from Remotely Sensed Data

Friedl, M.A. | Online Contents | 1997

Land Classification Using Remotely Sensed Data: Going Multilabel

Karalas, Konstantinos | Online Contents | 2016