Anatoly A. Gitelson

Affiliations: 
The University of Nebraska - Lincoln, Lincoln, NE 
Area:
Environmental Sciences, Optics Physics, General Biophysics, Limnology Biology, Remote Sensing
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"Anatoly Gitelson"
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Publications

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Lehmann MK, Gurlin D, Pahlevan N, et al. (2023) Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data. 10: 191
Lehmann MK, Gurlin D, Pahlevan N, et al. (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data. 10: 100
Gitelson A, Arkebauer T, Solovchenko A, et al. (2021) An insight into spectral composition of light available for photosynthesis via remotely assessed absorption coefficient at leaf and canopy levels. Photosynthesis Research
Gitelson A, Solovchenko A, Viña A. (2020) Foliar absorption coefficient derived from reflectance spectra: A gauge of the efficiency of in situ light-capture by different pigment groups. Journal of Plant Physiology. 254: 153277
Gitelson A. (2020) Towards a generic approach to remote non-invasive estimation of foliar carotenoid-to-chlorophyll ratio. Journal of Plant Physiology. 252: 153227
Pastorello G, Trotta C, Canfora E, et al. (2020) The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data. 7: 225
Peng Y, Kira O, Nguy‐Robertson A, et al. (2019) Gross Primary Production Estimation in Crops Using Solely Remotely Sensed Data Agronomy Journal. 111: 2981-2990
Moses WJ, Saprygin V, Gerasyuk V, et al. (2019) OLCI-based NIR-red models for estimating chlorophyll- a concentration in productive coastal waters—a preliminary evaluation Environmental Research Communications. 1: 011002
Gitelson A, Viña A, Solovchenko A, et al. (2019) Derivation of canopy light absorption coefficient from reflectance spectra Remote Sensing of Environment. 231: 111276
Gitelson AA. (2018) Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean Remote Sensing Letters. 10: 283-291
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