Artificial Neural Network Modeling of High Arctic Phytomass Using Synthetic Aperture Radar and Multispectral Data

Artificial Neural Network Modeling of High Arctic Phytomass Using Synthetic Aperture Radar and Multispectral Data

Vegetation in the Arctic is often sparse, spatially heterogeneous, and difficult to model. Synthetic Aperture Radar (SAR) has shown some promise in above-ground phytomass estimation at sub-arctic latitudes, but the utility of this type of data is not known in the context of the unique environments o...

Full description

Bibliographic Details
Main Authors: Adam Collingwood, Paul Treitz, Francois Charbonneau, David M. Atkinson
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Remote Sensing
Subjects:
Arctic
synthetic aperture radar
phytomass
artificial neural network
Online Access:http://www.mdpi.com/2072-4292/6/3/2134

Internet

http://www.mdpi.com/2072-4292/6/3/2134

Similar Items