Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation

Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation

Today, non-expensive remote sensing (RS) data from different sensors and platforms can be obtained at short intervals and be used for assessing several kinds of forest characteristics at the level of plots, stands and landscapes. Methods such as composite estimation and data assimilation can be used...

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Bibliographic Details
Main Authors: Sarah Ehlers, Svetlana Saarela, Nils Lindgren, Eva Lindberg, Mattias Nyström, Henrik J. Persson, Håkan Olsson, Göran Ståhl
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Remote Sensing
Subjects:
airborne LiDAR
Composite estimators
forest inventory
SPOT-5 HRG
TanDEM-X
Online Access:http://www.mdpi.com/2072-4292/10/5/667

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