Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mark C. de Jong"'
Autor:
Thomas P. F. Dowling, Peilin Song, Mark C. De Jong, Lutz Merbold, Martin J. Wooster, Jingfeng Huang, Yongqiang Zhang
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3522 (2021)
Satellite-derived land surface temperature (LST) data are most commonly observed in the longwave infrared (LWIR) spectral region. However, such data suffer frequent gaps in coverage caused by cloud cover. Filling these ‘cloud gaps’ usually relies
Externí odkaz:
https://doaj.org/article/8655bf57a342467ab9b078a49fe0538e
Autor:
Mary F. Langsdale, Thomas P. F. Dowling, Martin Wooster, James Johnson, Mark J. Grosvenor, Mark C. de Jong, William R. Johnson, Simon J. Hook, Gerardo Rivera
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4127 (2020)
Correct specification of a target’s longwave infrared (LWIR) surface emissivity has been identified as one of the greatest sources of uncertainty in the remote sensing of land surface temperature (LST). Field and laboratory emissivity measurements
Externí odkaz:
https://doaj.org/article/c3501adf066d421bbe2b4a73d93d50d8
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 823 (2018)
The Global Fire Emissions Database (GFED)—currently by far the most widely used global fire emissions inventory—is primarily driven by the 500 m MODIS MCD64A1 burned area (BA) product. This product is unable to detect many smaller fires, and the
Externí odkaz:
https://doaj.org/article/fad2991a1be54799bfc877383e3dad88
Autor:
Máire Kirkland, Philip W. Atkinson, James W. Pearce-Higgins, Mark C. de Jong, Thomas P.F. Dowling, Dmitri Grummo, Megan Critchley, Adham Ashton-Butt
Publikováno v:
Science of The Total Environment. 884:163849
Autor:
Johannes Flemming, Thomas E. L. Smith, Jerome Barre, Zak Kipling, Tianran Zhang, Martin J. Wooster, Melanie Ades, Vincent-Henri Peuch, Freja Vamborg, Francesca Di Giuseppe, Mark C. de Jong, Jessica L. McCarty, Anna Agusti-Panareda, Mark Parrington, Claudia Vitolo, Merritt R. Turetsky, Antje Inness, Sebastien Garrigues, Richard Engelen
The boreal summers of 2019 and 2020 were witness to extensive high northern latitude wildfire activity, most notably within the Arctic Circle across eastern Russia. Near-real-time monitoring of the wildfire activity, based on satellite observations o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b3c451832dc7954221b672e02580fa
https://doi.org/10.5194/egusphere-egu21-13273
https://doi.org/10.5194/egusphere-egu21-13273
Autor:
Mark C. de Jong, Martin J. Wooster, Simon J. Hook, Thomas P. F. Dowling, Gerardo Rivera, Mary F. Langsdale, William R. Johnson, James Johnson, Mark J. Grosvenor
Publikováno v:
Remote Sensing; Volume 12; Issue 24; Pages: 4127
Remote Sensing, Vol 12, Iss 4127, p 4127 (2020)
Remote Sensing, Vol 12, Iss 4127, p 4127 (2020)
Correct specification of a target’s longwave infrared (LWIR) surface emissivity has been identified as one of the greatest sources of uncertainty in the remote sensing of land surface temperature (LST). Field and laboratory emissivity measurements
Autor:
Martin J. Wooster, Benjamin Koetz, Mark C. de Jong, James Johnson, Thomas C. Dowling, Dirk Schüttemeyer, William R. Johnson, Mary F. Langsdale, Mark J. Grosvenor, Bjorn T. Eng, Glynn Hulley, Simon J. Hook, Gerardo Rivera
The NASA ESA Temperature Sensing Experiment (NET-Sense) is a NASA and ESA funded campaign in support of the Copernicus Land Surface Temperature Monitoring (LSTM) satellite mission.The LSTM mission would carry a calibrated, high spatial-temporal resol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9ed2188f0a86d6f5be5d0ab47b8b890
https://doi.org/10.5194/egusphere-egu2020-21846
https://doi.org/10.5194/egusphere-egu2020-21846
Open burning of agricultural crop residues is widespread across eastern China, and during certain post-harvest periods this activity is believed to significantly influence air quality. However, the exact contribution of crop residue burning to major
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58a90cc46596aa9018aea56eae765058
https://doi.org/10.5194/acp-2019-968
https://doi.org/10.5194/acp-2019-968
Autor:
Yongqiang Zhang, Mark C. de Jong, Lutz Merbold, Martin J. Wooster, Thomas P. F. Dowling, Jingfeng Huang, Peilin Song
Publikováno v:
Remote Sensing
Volume 13
Issue 17
Remote Sensing, Vol 13, Iss 3522, p 3522 (2021)
Volume 13
Issue 17
Remote Sensing, Vol 13, Iss 3522, p 3522 (2021)
Satellite-derived land surface temperature (LST) data are most commonly observed in the longwave infrared (LWIR) spectral region. However, such data suffer frequent gaps in coverage caused by cloud cover. Filling these ‘cloud gaps’ usually relies