Improving the accuracy of multisource forest inventory estimates to reducing plot location error - a multicriteria approach: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Improving the accuracy of multisource forest inventory estimates to reducing plot location error - a multicriteria approach

Halme, Merja

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Improving the accuracy of multisource forest inventory estimates to reducing plot location error - a multicriteria approach

Halme, Merja

Improving the accuracy of multisource forest inventory estimates to reducing plot location error - a multicriteria approach

Halme, Merja

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Improving the accuracy of multisource forest inventory estimates to reducing plot location error - a multicriteria approach

Contributors:

Halme, Merja (author) / Tomppo, Erkki

Published in:

Remote sensing of environment ; 78

Publication date:

2001

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

Multicriteria Approach for a Multisource District Heating

Dénarié, Alice / Calderoni, Marco / Aprile, Marcello | Springer Verlag | 2018

Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm

Jung, Jaehoon | Online Contents | 2013

Selecting estimation parameters for the Finnish multisource National Forest Inventory

Katila, Matti | Online Contents | 2001

Estimation of Forest Biomass in Beijing (China) Using Multisource Remote Sensing and Forest Inventory Data

Yan Zhu / Zhongke Feng / Jing Lu et al. | DOAJ | 2020

Free access

Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure

Zald, Harold S.J. | Online Contents | 2014