Comparison of Aviris and AISA Airborne Hyperspectral Sensing for Above-Ground Forest Carbon Mapping

Monitoring of the 418 million ha of forests in Canada is needed to ensure the sustainable development of these forests. Hyperspectral sensing can provide mapping of forest species, forest health, and above-ground biomass. Airborne two-meter AISA hyperspectral and LIDAR data were acquired by the Univ...

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Bibliographische Detailangaben
Hauptverfasser:	Goodenough, D.G., Niemann, K.O., Dyk, A., Hobart, G., Gordon, P., Loisel, M., Hao Chen
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	above-ground carbon AISA AVIRIS Biomass Calibration Equations forest Hyperspectral Hyperspectral imaging Hyperspectral sensors Laser radar LIDAR Monitoring Spatial resolution species Sustainable development Testing
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