Assessing Vegetation Function with Imaging Spectroscopy

0505519 - ÚVGZ 2020 RIV NL eng J - Článek v odborném periodiku
Gamon, J. A. - Somers, B. - Malenovský, Zbyněk - Middleton, E. M. - Rascher, U. - Schaepman, M. E.
Assessing Vegetation Function with Imaging Spectroscopy.
Surveys in Geophysics. Roč. 40, č. 3 (2019), s. 489-513. ISSN 0169-3298. E-ISSN 1573-0956.
[Workshop on Exploring the Earth's Ecosystems on a Global Scale - Requirements, Capabilities and Directions in Space borne Imaging Spectroscopy. Int Space Sci Inst, Bern, 21.11.2016-25.11.2016]
Výzkumná infrastruktura: CzeCOS II - 90061
Institucionální podpora: RVO:86652079
Klíčová slova: light-use efficiency * induced chlorophyll fluorescence * photochemical reflectance index * leaf-area * water-content * time-series * traits * photosynthesis * ecosystem * model * Plant traits * Photosynthesis * Gross primary production (GPP) * Spectroscopy * Multi-scale sampling * Solar-induced fluorescence (SIF) * Spectral reflectance * Imaging spectrometry
Obor OECD: Inorganic and nuclear chemistry
Impakt faktor: 5.544, rok: 2019
Způsob publikování: Open access
https://www.researchgate.net/publication/331136550_Assessing_Vegetation_Function_with_Imaging_Spectroscopy

Healthy vegetation function supports diverse biological communities and ecosystem processes, and provides crops, forest products, forage, and countless other benefits. Vegetation function can be assessed by examining dynamic processes and by evaluating plant traits, which themselves are dynamic. Using both trait-based and process-based approaches, spectroscopy can assess vegetation function at multiple scales using a variety of sensors and platforms ranging from proximal to airborne and satellite measurements. Since spectroscopic data are defined by the instruments and platforms available, along with their corresponding spatial, temporal and spectral scales, and since these scales may not always match those of the function of interest, consideration of scale is a necessary focus. For a full understanding of vegetation processes, combined (multi-scale) sampling methods using empirical and theoretical approaches are required, along with improved informatics.
Trvalý link: http://hdl.handle.net/11104/0297009