Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Yuri Knyazikhin"'
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Current operational satellite retrievals of cloud optical and microphysical properties go back to the Nakajima-King technique developed at the end of the 1980 s. This technique is based on library calculations for plane-parallel homogeneous clouds. I
Externí odkaz:
https://doaj.org/article/ddbf0057e2b244c49cd48f0f7254c598
Publikováno v:
Journal of Remote Sensing, Vol 3 (2023)
Estimating potential height of forests is one of key tasks in forest restoration planning. Since regional maximum height statistics is difficult to account for local heterogeneity, biotic and abiotic mechanism-based methods are required. Different fr
Externí odkaz:
https://doaj.org/article/3958fb4743b04e4981e61123203f2411
Autor:
Dongxiao Zou, Kai Yan, Jiabin Pu, Si Gao, Wenjuan Li, Xihan Mu, Yuri Knyazikhin, Ranga B. Myneni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8958-8973 (2022)
As an essential vegetation structural parameter, leaf area index (LAI) is involved in many critical biochemical processes, such as photosynthesis, respiration, and precipitation interception. The MODerate resolution Imaging Spectroradiometer (MODIS)
Externí odkaz:
https://doaj.org/article/e81c07156c654e6cb9724f9e6460ffa1
Autor:
Xiangnan Ni, Yuri Knyazikhin, Yuanheng Sun, Xiaojun She, Wei Guo, Oleg Panferov, Ranga B. Myneni
Publikováno v:
Frontiers in Remote Sensing, Vol 2 (2021)
In vegetation canopies cross-shading between finite dimensional leaves leads to a peak in reflectance in the retro-illumination direction. This effect is called the hot spot in optical remote sensing. The hotspot region in reflectance of vegetated su
Externí odkaz:
https://doaj.org/article/9b23473e098c4c3f8f941ecda8989008
Autor:
Nick Gorkavyi, Simon Carn, Matt DeLand, Yuri Knyazikhin, Nick Krotkov, Alexander Marshak, Ranga Myneni, Alexander Vasilkov
Publikováno v:
Frontiers in Remote Sensing, Vol 2 (2021)
The Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate Observatory (DSCOVR) satellite observes the entire Sun-illuminated Earth from sunrise to sunset from the L1 Sun-Earth Lagrange point. The L1 location, however, confines the obser
Externí odkaz:
https://doaj.org/article/e088abfdbdb242ddae88943faf57a2d8
Publikováno v:
Earth and Space Science, Vol 6, Iss 8, Pp 1416-1429 (2019)
Abstract We performed a detailed analysis of Earth Polychromatic Imaging Camera (EPIC) spectral data. We found that the vector composed of blue and near‐infrared (NIR) reflectance follows a counterclockwise closed‐loop trajectory from 0 to 24 UTC
Externí odkaz:
https://doaj.org/article/3f316fca33144c91b4548d3a26367ba7
Autor:
Kai Yan, Dongxiao Zou, Guangjian Yan, Hongliang Fang, Marie Weiss, Miina Rautiainen, Yuri Knyazikhin, Ranga B. Myneni
Publikováno v:
Journal of Remote Sensing, Vol 2021 (2021)
The MODIS LAI/FPAR products have been widely used in various fields since their first public release in 2000. This review intends to summarize the history, development trends, scientific collaborations, disciplines involved, and research hotspots of
Externí odkaz:
https://doaj.org/article/b931059e50014524ad764912a52f9896
Autor:
Yan Yang, Sassan S. Saatchi, Liang Xu, Yifan Yu, Sungho Choi, Nathan Phillips, Robert Kennedy, Michael Keller, Yuri Knyazikhin, Ranga B. Myneni
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Forests of the Amazon Basin have experienced frequent and severe droughts in recent years with significant impacts on their carbon cycling. Here, using satellite LiDAR samples from 2003 to 2008, the authors show the long-term legacy of these droughts
Externí odkaz:
https://doaj.org/article/7c8db53276204636be3a1bfa2a364352
Autor:
Yi Lin, Tian Wei, Bin Yang, Yuri Knyazikhin, Yuhu Zhang, Hisashi Sato, Xing Fang, Xinlian Liang, Lei Yan, Shanlin Sun
Publikováno v:
International Journal of Digital Earth, Vol 10, Iss 7, Pp 701-718 (2017)
In forest ecosystem studies, tree stem structure variables (SSVs) proved to be an essential kind of parameters, and now simultaneously deriving SSVs of as many kinds as possible at large scales is preferred for enhancing the frontier studies on marco
Externí odkaz:
https://doaj.org/article/21cd1556d8ce4872b78519141dc07d7d
Autor:
Jiabin Pu, Kai Yan, Guohuan Zhou, Yongqiao Lei, Yingxin Zhu, Donghou Guo, Hanliang Li, Linlin Xu, Yuri Knyazikhin, Ranga B. Myneni
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3391 (2020)
Uncertainty assessment of the moderate resolution imaging spectroradiometer (MODIS) leaf area index (LAI) and the fraction of photosynthetically active radiation absorbed by vegetation (FPAR) retrieval algorithm can provide a scientific basis for the
Externí odkaz:
https://doaj.org/article/b47277dc2ecf464ebd757144f0299ff1