Dr. Yves Julien Profile

Dr. Yves Julien

at Univ de València

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Publications (2)

SPIE Journal Paper | 24 February 2015

New geo-portal for MODIS/SEVIRI image products with geolocation-based retrieval functionality

Jorge Sevilla, Yves Julien, Guillem Sòria, José Sobrino, Antonio Plaza

JARS, Vol. 9, Issue 01, 096079, (February 2015) https://doi.org/10.1117/12.10.1117/1.JRS.9.096079

KEYWORDS: MODIS, Image retrieval, Databases, Remote sensing, Sensors, Image sensors, Image filtering, Data storage, Image processing, Data processing

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A large number of remote sensing data sets have been collected in recent years by Earth observation instruments such as the moderate resolution imaging spectroradiometer (MODIS) aboard the Terra/Aqua satellite and the spinning enhanced visible and infrared imager (SEVIRI) aboard the geostationary platform Meteosat Second Generation. The advanced remote sensing products resulting from the analysis of these data are useful in a wide variety of applications but require significant resources in terms of storage, retrieval, and analysis. Despite the wide availability of these MODIS/SEVIRI products, the data coming from these instruments are spread among different locations and retrieved from different sources, and there is no common data repository from which the data or the associated products can be retrieved. We take a first step toward the development of a geo-portal for storing and efficiently retrieving MODIS/SEVIRI remote sensing products. The products are obtained using an automatic system that processes the data as soon as they are provided by the collecting antennas, and then the final products are uploaded with a one day delay in the geo-portal. Our focus in this work is on describing the design and efficient implementation of the geo-portal, which allows for a user-friendly and effective access to a full repository of MODIS/SEVIRI advanced products (comprising tens of terabytes of data) using geolocation retrieval capabilities. The geo-portal has been implemented as a web application composed of different layers. Its modular design provides quality of service and scalability (capacity for growth without any quality losing), allowing for the addition of components without the need to modify the entire system. On the client layer, an intuitive web browser interface provides users with remote access to the system. On the server layer, the system provides advanced data management and storage capabilities. On the storage layer, the system provides a secure massive storage service. An experimental evaluation of the geo-portal in terms of efficiency and product retrieval accuracy is also presented and discussed.

Proceedings Article | 20 October 2005 Paper

Global vegetation monitoring through multitemporal analysis of pathfinder AVHRR land database

Yves Julien, José Sobrino, Malena Zaragoza, Juan Cuenca, Mónica Gómez, Juan-Carlos Jiménez-Muñoz, Mireia Romaguera, Qingfeng Shen, Guillem Sòria

Proceedings Volume 5976, 59761F (2005) https://doi.org/10.1117/12.626809

KEYWORDS: Vegetation, Databases, Image classification, Satellites, Algorithm development, Climate change, Climatology, Aerosols, Spatial resolution, Clouds

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