Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Linlu Mei"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13483-13493 (2024)
Continuous monitoring and assessment of satellite sensor radiometric response are crucial for timely detection of anomaly of the sensor performance, especially for operational optical sensors (e.g., FY-3D MERSI-II) beyond the expected lifespan. Impro
Externí odkaz:
https://doaj.org/article/7c6d4bdceff248eb9f623894892eba88
Autor:
Evelyn Jäkel, Tim Carlsen, André Ehrlich, Manfred Wendisch, Michael Schäfer, Sophie Rosenburg, Konstantina Nakoudi, Marco Zanatta, Gerit Birnbaum, Veit Helm, Andreas Herber, Larysa Istomina, Linlu Mei, Anika Rohde
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4904 (2021)
The size and shape of snow grains directly impacts the reflection by a snowpack. In this article, different approaches to retrieve the optical-equivalent snow grain size (ropt) or, alternatively, the specific surface area (SSA) using satellite, airbo
Externí odkaz:
https://doaj.org/article/0f55eff534c741599a2f02c52e021d97
Autor:
Konstantina Nakoudi, Christoph Ritter, Christine Böckmann, Daniel Kunkel, Oliver Eppers, Vladimir Rozanov, Linlu Mei, Vasileios Pefanis, Evelyn Jäkel, Andreas Herber, Marion Maturilli, Roland Neuber
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2112 (2020)
The impact of aerosol spatio-temporal variability on the Arctic radiative budget is not fully constrained. This case study focuses on the intra-Arctic modification of long-range transported aerosol and its direct aerosol radiative effect (ARE). Diffe
Externí odkaz:
https://doaj.org/article/36e0db7460ea47faa47e6aac493a6a4e
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 978 (2020)
Himawari-8 (H8), as a new generation geostationary meteorological satellite, has great potential for monitoring the spatial−temporal variation of aerosol properties. However, the large amount of spectral data with differing observation geometries r
Externí odkaz:
https://doaj.org/article/664792a8138746f6a41c41a2d7c8d228
Autor:
Anxin Ding, Ziti Jiao, Yadong Dong, Xiaoning Zhang, Jouni I. Peltoniemi, Linlu Mei, Jing Guo, Siyang Yin, Lei Cui, Yaxuan Chang, Rui Xie
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1611 (2019)
The original kernel-driven bidirectional reflectance distribution function (BRDF) models were developed based on soil-vegetation systems. To further improve the ability of the models to characterize the snow surface scattering properties, a snow kern
Externí odkaz:
https://doaj.org/article/c6871731317c4d0696b2fe81b581a4f7
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 568 (2019)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/a8470238091b4df5b8bd63a7f242fe7c
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1414 (2018)
The European Space Agency’s (ESA’s) Aerosol Climate Change Initiative (CCI) project intends to exploit the robust, long-term, global aerosol optical thickness (AOT) dataset from Europe’s satellite observations. Newly released Swansea University
Externí odkaz:
https://doaj.org/article/88c53022281b424ab41a092eb59b1355
Publikováno v:
Remote Sensing, Vol 9, Iss 3, p 253 (2017)
The recently launched Chinese GaoFen-4 (GF4) satellite provides valuable information to obtain geophysical parameters describing conditions in the atmosphere and at the Earth’s surface. The surface reflectance is an important parameter for the esti
Externí odkaz:
https://doaj.org/article/ebe5def48bea41438a7066713a20b230
Autor:
Aojie Di, Yong Xue, Xihua Yang, John Leys, Jie Guang, Linlu Mei, Jingli Wang, Lu She, Yincui Hu, Xingwei He, Yahui Che, Cheng Fan
Publikováno v:
Remote Sensing, Vol 8, Iss 9, p 702 (2016)
The Xinjiang Uyghur Autonomous Region (Xinjiang) is located near the western border of China. Xinjiang has a high frequency of dust storms, especially in late winter and early spring. Geostationary satellite remote sensing offers an ideal way to moni
Externí odkaz:
https://doaj.org/article/b02cc70f7cab4147a2cb70c3c5ba8a44
Autor:
Thomas Popp, Gerrit de Leeuw, Christine Bingen, Christoph Brühl, Virginie Capelle, Alain Chedin, Lieven Clarisse, Oleg Dubovik, Roy Grainger, Jan Griesfeller, Andreas Heckel, Stefan Kinne, Lars Klüser, Miriam Kosmale, Pekka Kolmonen, Luca Lelli, Pavel Litvinov, Linlu Mei, Peter North, Simon Pinnock, Adam Povey, Charles Robert, Michael Schulz, Larisa Sogacheva, Kerstin Stebel, Deborah Stein Zweers, Gareth Thomas, Lieuwe Gijsbert Tilstra, Sophie Vandenbussche, Pepijn Veefkind, Marco Vountas, Yong Xue
Publikováno v:
Remote Sensing, Vol 8, Iss 5, p 421 (2016)
Producing a global and comprehensive description of atmospheric aerosols requires integration of ground-based, airborne, satellite and model datasets. Due to its complexity, aerosol monitoring requires the use of several data records with complementa
Externí odkaz:
https://doaj.org/article/b404bc51db7041f3a994c2cac97e16ee