0000000001212798
AUTHOR
Jordi Muñoz
showing 4 related works from this author
El procés sobiranista català en la crisi política espanyola
2015
En el número 49 de la revista L'Espill trobaràs un dossier monogràfic sobre "Un temps de canvis?", amb contribucions de Manuel Sanchis Marco, Víctor Maceda i Jordi Muñoz. A més, articles de Xavier Farré, Adam Zagajewski, Yves Charles Zarka, Snježana Kodrić, Steven Forti, Juan Antonio Ríos Carratalà, Alícia Villar Aguilés, Sandra Obiol Francés, Antoni Furió i Diego i Francesc Foguet i Boreu, així com documents amb la correspondència entre Joan Fuster i Ramón Piñeiro, una conversa amb Rafael Chirbes i una entrevista amb Andreu Rossinyol.
SmartSpectra: Applying multispectral imaging to industrial environments
2005
SmartSpectra is a smart multispectral system for industrial, environmental, and commercial applications where the use of spectral information beyond the visible range is needed. The SmartSpectra system provides six spectral bands in the range 400-1000nm. The bands are configurable in terms of central wavelength and bandwidth by using electronic tunable filters. SmartSpectra consists of a multispectral sensor and the software that controls the system and simplifies the acquisition process. A first prototype called Autonomous Tunable Filter System is already available. This paper describes the SmartSpectra system, demonstrates its performance in the estimation of chlorophyll in plant leaves, …
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
2012
Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …