Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Keith Beckett"'
Autor:
Patrick Plourde, Alan Thompson, Markus Jochum, Dirk Geudtner, Guy Séguin, Keith Beckett, Brian Brisco, Marco Van der Kooij, Paris W. Vachon
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 3, Pp 243-246 (2018)
A panel discussion on the challenges for the Next Generation SAR was held during the EO Summit 2017. Three main topics were discussed during this panel. The first was how to respond to the trend of using multi-frequency data in the context of the lon
Externí odkaz:
https://doaj.org/article/5569a5c2d99e43e8adc5c903521a964d
Autor:
Dennis Helder, Cody Anderson, Keith Beckett, Rasmus Houborg, Ignacio Zuleta, Valentina Boccia, Sebastien Clerc, Michele Kuester, Brian Markham, Mary Pagnutti
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2468 (2020)
One of the biggest changes in the world of optical remote sensing over the last several years is the sheer increase in the number of sensors that are imaging the Earth in moderate to high spatial resolution. With respect to the calibration of these s
Externí odkaz:
https://doaj.org/article/3484ea92a5174902a0db77aa2a6b56c5
Autor:
Brian L. Markham, Valentina Boccia, Rasmus Houborg, Michele Kuester, Keith Beckett, Dennis L. Helder, Cody Anderson, Sébastien Clerc, Ignacio Zuleta, Mary Pagnutti
Publikováno v:
Remote Sensing, Vol 12, Iss 2468, p 2468 (2020)
One of the biggest changes in the world of optical remote sensing over the last several years is the sheer increase in the number of sensors that are imaging the Earth in moderate to high spatial resolution. With respect to the calibration of these s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2f23e9bc0a0bac32b6886326ae514d
https://www.mdpi.com/2072-4292/12/15/2468
https://www.mdpi.com/2072-4292/12/15/2468
Autor:
Jiali Shang, Keith Beckett, Saeid Niazmardi, Heather McNairn, Saeid Homayouni, Abdolreza Safari
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 72:34-41
Classification of time-series of vegetation indices (VIs) can be a reliable strategy for identifying and monitoring different crop types. Recently, with the advent of new sensors, the time-series data with high spatial and temporal resolutions have b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceaa5706dc1704ea68e56cb7fc325f46
https://doi.org/10.1016/j.jag.2018.05.014
https://doi.org/10.1016/j.jag.2018.05.014