Prediction of Macronutrients at the Canopy Level Using Spaceborne Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest

Prediction of Macronutrients at the Canopy Level Using Spaceborne Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest

Information on foliar macronutrients is required in order to understand plant physiological and ecosystem processes such as photosynthesis, nutrient cycling, respiration and cell wall formation. The ability to measure, model and map foliar macronutrients (nitrogen (N), phosphorus (P), potassium (K),...

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Bibliographic Details
Main Authors: Kemal Gökkaya, Valerie Thomas, Thomas L. Noland, Harry McCaughey, Ian Morrison, Paul Treitz
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Remote Sensing
Subjects:
imaging spectroscopy
Hyperion
LiDAR
macronutrients
mixedwood boreal forest
partial least squares regression
species composition
functional types
Online Access:http://www.mdpi.com/2072-4292/7/7/9045

Internet

http://www.mdpi.com/2072-4292/7/7/9045

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