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

• 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: Vegetation mapping > Arctic regions > Computer simulation; Synthetic aperture radar; Multispectral imaging; Neural networks (Computer science); Arctic; Atkinson
• Online Access: https://doi.org/10.3390/rs6032134; https://digital.library.ryerson.ca/islandora/object/RULA%3A4529

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...