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期刊名称

ecological indicators(1)

关键词

3-d radiative transfer model (rtm)(1)
chlorophyll concentration(1)
saturation effect(1)
vegetation indices (vis)(1)

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作者

Gao S. AND Yan K. AND Liu J. AND Pu J. AND Zou D. AND Qi J. AND Mu X. AND Yan G.(0)

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department of earth and environment, boston university, boston, ma 02215, united states(1)
innovation research center of satellite application (ircsa), institute of remote sensing science and engineering, state key laboratory of(1)
innovation research center of satellite application (ircsa), institute of remote sensing science and engineering, state key laboratory of remote sensing science, faculty of geographical science, beijing normal university, beijing, 100875, china(1)
institute of crop sciences, chinese academy of agricultural sciences, beijing, 100081, china(1)
school of information engineering, china university of geosciences, beijing, 100083, china(1)
school of land science and techniques, china university of geosciences, beijing, 100083, china(1)

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2024(1)

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资源类型: 外文期刊

作者:Gao S.(精确检索)

作者:Yan K.(精确检索)

作者:Liu J.(精确检索)

作者:Pu J.(精确检索)

作者:Zou D.(精确检索)

作者:Qi J.(精确检索)

作者:Mu X.(精确检索)

作者:Yan G.(精确检索)

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1Assessment of remote-sensed vegetation indices for estimating forest chlorophyll concentration

作者： Gao S.; Yan K.; Liu J.; Pu J.; Zou D.; Qi J.; Mu X.; Yan G.; SCIE（2024版） EI（2024版）

机构： Innovation Research Center of Satellite Application (IRCSA), Institute of Remote Sensing Science and Engineering, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; School of Land Science and Techniques, China University of Geosciences, Beijing, 100083, China; School of Information Engineering, China University of Geosciences, Beijing, 100083, China; Department of Earth and Environment, Boston University, Boston, MA 02215, United States; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Innovation Research Center of Satellite Application (IRCSA), Institute of Remote Sensing Science and Engineering, State Key Laboratory of;

来源：Ecological Indicators

关键词： 3-D radiative transfer model (RTM) Chlorophyll concentration Saturation effect Vegetation indices (VIs)