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...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Collingwood, Adam (Author), Treitz, Paul (Author), Charbonneau, Francois (Author), Atkinson, David M. (Author)
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:https://doi.org/10.3390/rs6032134
https://digital.library.ryerson.ca/islandora/object/RULA%3A4529