Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Heshun Wang"'
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2863 (2022)
The Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature (LST) has been operationally produced for a decade since the Suomi National Polar-orbiting Partnership (SNPP) launched in October 2011. A comprehensive evaluation of its a
Externí odkaz:
https://doaj.org/article/c5480cf0b90a446d823b263745cca190
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/208c35779ceb49e5b2b2e0bdc688afa4
Autor:
Jinxiong Jiang, Hua Li, Qinhuo Liu, Heshun Wang, Yongming Du, Biao Cao, Bo Zhong, Shanlong Wu
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 7080-7104 (2015)
This paper uses the refined Generalized Split-Window (GSW) algorithm to derive the land surface temperature (LST) from the data acquired by the Visible and Infrared Radiometer on FengYun 3B (FY-3B/VIRR). The coefficients in the GSW algorithm correspo
Externí odkaz:
https://doaj.org/article/25517f26e6c944e48623e8d253aec973
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 6489-6509 (2015)
This study analyzed the scaling problem of land surface temperature (LST) data retrieved with the Temperature Emissivity Separation (TES) algorithm. We compiled a remotely sensed dataset that included Thermal Airborne Hyperspectral Imager (TASI) and
Externí odkaz:
https://doaj.org/article/cf6a0fc21f2c4d92a2242526db61a898
Autor:
Lei Fan, Qing Xiao, Jianguang Wen, Qiang Liu, Yong Tang, Dongqin You, Heshun Wang, Zhaoning Gong, Xiaowen Li
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 3114-3137 (2015)
High spatial resolution airborne data with little sub-pixel heterogeneity were used to evaluate the suitability of the temperature/vegetation (Ts/VI) space method developed from satellite observations, and were explored to improve the performance of
Externí odkaz:
https://doaj.org/article/4252372e9799477aa90bee9db0ef9ad8
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2003 (2019)
Satellite land surface temperatures (LSTs) have been routinely produced for decades from a variety of polar-orbiting and geostationary satellites, which makes it possible to generate LST climate data globally. However, consistency of the satellite LS
Externí odkaz:
https://doaj.org/article/b613ebba19e240acb06897c85961a347
Autor:
Bianca C. Baier, Christopher D. Barnet, Fred A. Best, Slawomir Blonski, Lori A. Borg, Mark A. Bourassa, Charlie Brown, Victoria E. Cachorro, Changyong Cao, Huilin Chen, Taeyoung Choi, Pubu Ciren, Ruud J. Dirksen, Jason Dunion, Owen Embury, Rebekah Esmaili, Gregory R. Foltz, Masatomo Fujiwara, Raymond K. Garcia, Chelle Gentemann, Jonathan Gero, Laura Gibson, Alexander Gilerson, Joaquim Goes, Ramiro González, Christopher Grassotti, Julian Gröbner, Chuanmin Hu, Dale F. Hurst, Bruce Ingleby, Satya Kalluri, Stelios Kazadzis, John J. Kennedy, Elizabeth C. Kent, Robert O. Knuteson, Debra E. Kollonige, Shobha Kondragunta, Eric A. Kort, Natalia Kouremeti, Sherwin Ladner, Veronica P. Lance, Yong-Keun Lee, Zhongping Lee, Quanhua Liu, Shuyan Liu, Yuling Liu, Michelle L. Loveless, Rick Lumpkin, David Mateos, Kathryn McKain, Christopher J. Merchant, Peter J. Minnett, Vernon R. Morris, Nicholas R. Nalli, Samuel Oltmans, Michael Ondrusek, Renellys C. Perez, Michael Pettey, Kenneth L. Pryor, Anthony Reale, Henry E. Revercomb, Roberto Román, Xi Shao, Alexander Smirnov, Herman G.J. Smit, Nadia Smith, Ryan Smith, William L. Smith, Ryan M. Stauffer, Bomin Sun, Colm Sweeney, Joseph K. Taylor, Anne M. Thompson, David C. Tobin, Carlos Toledano, Nicholas Tufillaro, Sirish Uprety, Holger Vömel, Kenneth J. Voss, Heshun Wang, Menghua Wang, Wenhui Wang, Jianwei Wei, James While, Peng Yu, Yunyue Yu, Yan Zhou
Publikováno v:
Field Measurements for Passive Environmental Remote Sensing ISBN: 9780128239537
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15bdda54c9de1f6940051ea8d5205d8a
https://doi.org/10.1016/b978-0-12-823953-7.09989-5
https://doi.org/10.1016/b978-0-12-823953-7.09989-5
Publikováno v:
Field Measurements for Passive Environmental Remote Sensing ISBN: 9780128239537
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fbab29173b35131bc02aa5b00bf9876
https://doi.org/10.1016/b978-0-12-823953-7.00016-2
https://doi.org/10.1016/b978-0-12-823953-7.00016-2
Publikováno v:
7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering.
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:307-318
Land surface emissivity (LSE) is a key parameter for the determination of land surface temperature (LST) from thermal remotely sensed data. A new LSE product has been developed at the National Oceanic and Atmospheric Administration (NOAA), College Pa