Anatoly A Gitelson

Biographic Data

ID7995875
NAMEAnatoly A Gitelson
GIVEN NAMESAnatoly A
FAMILY NAMEGitelson
SIGNATUREGITELSON A A
AFFILIATIONSUniversity of Nebraska–Lincoln
ORCID0000-0003-4208-7661
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2020
H-INDEX0

  • Ecophysiological adjustments of a pine forest to enhance early spring activity in hot and dry climate

    Open AccessHuanhuan Wang, Anatoly A Gitelson et al.ARTICLEEnvironmental Research Letters2020

    Climate change can impose large offsets between the seasonal cycle of photosynthesis and that in solar radiation and temperature which drive it. Ecophysiological adjustments to such offsets in forests growing under hot and dry conditions are critical for maintaining carbon uptake and survival. Here, we investigate the adjustments that underlie the unusually short and intense early spring productive season, under suboptimal radiation and temperatu…

  • Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study

    Open AccessAnatoly A Gitelson, Bo-Cai Gao et al.ARTICLEEnvironmental Research Letters2011

    We present here the results of chlorophyll-a (chl-a) concentration estimation using the red and near infrared (NIR) spectral bands of a Hyperspectral Imager for the Coastal Ocean (HICO) in productive turbid waters of the Azov Sea, Russia. During the data collection campaign in the summer of 2010 in Taganrog Bay and the Azov Sea, water samples were collected and concentrations of chl-a were measured analytically. The NIR–red models were tuned to o…

  • Estimation of chlorophyll-a concentration in estuarine waters: Case study of the Pearl River estuary, South China Sea

    Open AccessYuanzhi Zhang, Hui Lin et al.ARTICLEEnvironmental Research Letters2011

    The objective of this work is to estimate chlorophyll-a (chl-a) concentration in the Pearl River estuary in China. To test the performance of algorithms for the estimation of the chl-a concentration in these productive turbid waters, the maximum band ratio (MBR) and near-infrared-red (NIR-red) models are used in this study. Specific focus is placed on (a) comparing the ability of the models to estimate chl-a in the range 1-12 mg m(-3), which is t…

  • A bio-optical algorithm for the remote estimation of the chlorophyll- a concentration in case 2 waters

    Open AccessAnatoly A Gitelson, Daniela Gurlin et al.ARTICLEEnvironmental Research Letters2009

    The objective of this work was to test the performance of a recently developed three-band model and its special case, a two-band model, for the remote estimation of the chlorophyll-a (chl-a) concentration in turbid productive case 2 waters. We specifically focused on (a) determining the ability of the models to estimate chl-a < 20 mg m−3, typical for coastal and estuarine waters, and (b) assessing the potential of MODIS and MERIS to estimate chl-…

  • Estimation of chlorophyll- a concentration in case II waters using Modis and Meris data—successes and challenges

    Open AccessWesley J Moses, Anatoly A Gitelson et al.ARTICLEEnvironmental Research Letters2009

    We present and discuss here the results of our work using MODIS (moderate resolution imaging spectroradiometer) and MERIS (medium resolution imaging spectrometer) satellite data to estimate the concentration of chlorophyll-a (chl-a) in reservoirs of the Dnieper River and the Sea of Azov, which are typical case II waters, i.e., turbid and productive. Our objective was to test the potential of satellite remote sensing as a tool for near-real-time m…