Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jose Moreno"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
This paper presents a methodology for cloud screening of multispectral images acquired with the Medium Resolution Imaging Spectrometer (MERIS) instrument on-board the Environmental Satellite (ENVISAT). The method yields both a discrete cloud mask and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::833c38cfcb7cf880d64df3977d6dcf27
https://doi.org/10.1109/tgrs.2007.905312
https://doi.org/10.1109/tgrs.2007.905312
Publikováno v:
International Journal of Remote Sensing
An atmospheric correction algorithm for the retrieval of land surface reflectance from imagery acquired by the Medium Resolution Imaging Spectrometer (MERIS) on-board the European Space Agency (ESA) ENVIronmental SATellite (ENVISAT) platform has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50af04bd021c442345cfa868dee0183d
https://doi.org/10.1080/01431160600815525
https://doi.org/10.1080/01431160600815525
Autor:
Roberto Colombo, Luis Guanter, Luis Alonso, Jose Moreno, Uwe Rascher, Michele Meroni, Micol Rossini
Publikováno v:
Remote Sensing of Environment
Interest in remote sensing (RS) of solar-induced chlorophyll fluorescence (F) by terrestrial vegetation is motivated by the link of F to photosynthetic efficiency which could be exploited for large scale monitoring of plant status and functioning. To
Publikováno v:
Remote Sensing of Environment
Imaging spectrometers operating in the solar spectrum measure the upwelling reflected solar radiation, and are an important tool in the bio/geochemical characterization of the Earth system. Surface reflectance is usually the starting point for the re
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what repres
Publikováno v:
Remote Sensing of Environment 114 (2010) 2
Remote Sensing of Environment
Remote Sensing of Environment, 114(2), 363-374
Remote sensing of environment, 114(2), 363-374. Elsevier
Remote Sensing of Environment
Remote Sensing of Environment, 114(2), 363-374
Remote sensing of environment, 114(2), 363-374. Elsevier
The Fraunhofer Line Discriminator (FLD) principle has long been considered as the reference method to quantify solar-induced chlorophyll fluorescence (F) from passive remote sensing measurements. Recently, alternative retrieval algorithms based on th
Autor:
J. A. Domínguez-Gómez, Luis Guanter, Claudia Giardino, Antonio Ruiz-Verdú, Victor Estellés, Thomas Heege, Jose Moreno, Daniel Odermatt, Stefan G. H. Simis
Publikováno v:
Remote Sensing of Environment
Remote sensing of environment 114 (2010): 467–480. doi:10.1016/j.rse.2009.10.004
info:cnr-pdr/source/autori:Guanter L.; Ruiz-Verdù A.; Odermatt D.; Giardino C.; Simis S.; Estèlles V.; Heege T.; Dominguez-Gomez JA.; Moreno J./titolo:Atmospheric correction of ENVISAT%2FMERIS data over inland waters: Validation for European lakes/doi:10.1016%2Fj.rse.2009.10.004/rivista:Remote sensing of environment/anno:2010/pagina_da:467/pagina_a:480/intervallo_pagine:467–480/volume:114
Remote sensing of environment 114 (2010): 467–480. doi:10.1016/j.rse.2009.10.004
info:cnr-pdr/source/autori:Guanter L.; Ruiz-Verdù A.; Odermatt D.; Giardino C.; Simis S.; Estèlles V.; Heege T.; Dominguez-Gomez JA.; Moreno J./titolo:Atmospheric correction of ENVISAT%2FMERIS data over inland waters: Validation for European lakes/doi:10.1016%2Fj.rse.2009.10.004/rivista:Remote sensing of environment/anno:2010/pagina_da:467/pagina_a:480/intervallo_pagine:467–480/volume:114
Traditional methods for aerosol retrieval and atmospheric correction of remote sensing data over water surfaces are based on the assumption of zero water reflectance in the near-infrared. Another type of approach which is becoming very popular in atm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae1bc5db93611a4e466d458ae724de7d
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:242883
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:242883
Publikováno v:
Optics Express
An accurate knowledge of the spectral calibration of imaging spectrometers is required for optimum data processing and interpretation. The scene-based spectral characterization of imaging spectrometers is frequently necessary to update or replace the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327345cc1d92259991cc5aab5b400941
https://gfzpublic.gfz-potsdam.de/pubman/item/item_238860_1/component/file_238859/13257.pdf
https://gfzpublic.gfz-potsdam.de/pubman/item/item_238860_1/component/file_238859/13257.pdf
Autor:
Luis Guanter, Pablo Martínez, Juan C. Jiménez-Muñoz, Jose Moreno, Antonio Plaza, José A. Sobrino
Publikováno v:
Sensors
Sensors (Basel, Switzerland)
Sensors, Vol 9, Iss 2, Pp 768-793 (2009)
Sensors; Volume 9; Issue 2; Pages: 768-793
Sensors (Basel, Switzerland)
Sensors, Vol 9, Iss 2, Pp 768-793 (2009)
Sensors; Volume 9; Issue 2; Pages: 768-793
In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::511a143488926816ef29132523a385cd
https://gfzpublic.gfz-potsdam.de/pubman/item/item_238310
https://gfzpublic.gfz-potsdam.de/pubman/item/item_238310
Autor:
M. Romaguera, J.C. Jimenez-Muoz, Jose Moreno, Pablo Martínez, Luis Guanter, Antonio Plaza, Guillem Soria, José A. Sobrino
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
IEEE transactions on geoscience and remote sensing, 46(2), 316-327. IEEE
IEEE transactions on geoscience and remote sensing, 46(2), 316-327. IEEE
This paper discusses the application and adaptation of two existing operational algorithms for land surface emissivity (epsiv) retrieval from different operational satellite/airborne sensors with bands in the visible and near-infrared (VNIR) and ther