Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map

Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map

Data fusion represents a powerful way of integrating individual sources of information to produce a better output than could be achieved by any of the individual sources on their own. This paper focuses on the data fusion of different land cover products derived from remote sensing. In the past, man...

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Bibliographic Details
Main Authors: Myroslava Lesiv, Elena Moltchanova, Dmitry Schepaschenko, Linda See, Anatoly Shvidenko, Alexis Comber, Steffen Fritz
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Remote Sensing
Subjects:
data fusion methods
forest map
remote sensing
geographically-weighted regression
Online Access:http://www.mdpi.com/2072-4292/8/3/261

Internet

http://www.mdpi.com/2072-4292/8/3/261

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