A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data

A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data

The prediction of forest biomass at the landscape scale can be achieved by integrating data from field plots with satellite imagery, in particular data from the Landsat archive, using k-nearest neighbour (kNN) imputation models. While studies have demonstrated different kNN imputation approaches for...

Full description

Bibliographic Details
Main Authors: Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood, Samuel Hislop
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
forest biomass
kNN imputation
Landsat time-series
forest disturbance
Online Access:https://www.mdpi.com/2072-4292/10/11/1825

Internet

https://www.mdpi.com/2072-4292/10/11/1825

Similar Items