Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kristin Vreys"'
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 153 (2018)
The most commonly used approach to estimate soil variables from remote-sensing data entails time-consuming and expensive data collection including chemical and physical laboratory analysis. Large spectral libraries could be exploited to decrease the
Externí odkaz:
https://doaj.org/article/7cf337a70dda4a00be11fbb64d234376
Autor:
Jan Biesemans, Marian-Daniel Iordache, Kristin Vreys, Sindy Sterckx, Luc Bertels, Koen Meuleman
Publikováno v:
Miscellanea Geographica: Regional Studies on Development, Vol 20, Iss 1, Pp 16-20 (2016)
Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2798c774f3320245f695bdd04bae2fff
https://doi.org/10.1515/mgrsd-2015-0022
https://doi.org/10.1515/mgrsd-2015-0022
Publikováno v:
Miscellanea Geographica: Regional Studies on Development, Vol 20, Iss 1, Pp 11-15 (2016)
Hyperspectral imagery originating from airborne sensors is nowadays widely used for the detailed characterization of land surface. The correct mapping of the pixel positions to ground locations largely contributes to the success of the applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be0f45d88030623882218952bf293e0b
https://doi.org/10.1515/mgrsd-2016-0006
https://doi.org/10.1515/mgrsd-2016-0006
Autor:
Chiara Cilia, Francesco Fava, Kristin Vreys, Cinzia Panigada, Koen Meuleman, Frédéric Baret, G Tagliabue, Roberto Colombo, Micol Rossini
Publikováno v:
Miscellanea Geographica: Regional Studies on Development, Vol 20, Iss 1, Pp 28-33 (2016)
The accurate mapping of forest species is a very important task in relation to the increasing need to better understand the role of the forest ecosystem within environmental dynamics. The objective of this paper is the investigation of the potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64def1d4bcd869dde69c3c3039a459d1
https://doi.org/10.1515/mgrsd-2016-0002
https://doi.org/10.1515/mgrsd-2016-0002
Publikováno v:
Remote Sensing
Remote Sensing; Volume 10; Issue 2; Pages: 153
Remote Sensing, Vol 10, Iss 2, p 153 (2018)
Remote Sensing; Volume 10; Issue 2; Pages: 153
Remote Sensing, Vol 10, Iss 2, p 153 (2018)
The most commonly used approach to estimate soil variables from remote-sensing data entails time-consuming and expensive data collection including chemical and physical laboratory analysis. Large spectral libraries could be exploited to decrease the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51d66b989035978b202794f9dd117566
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:2945891
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:2945891
