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REVEALING THE ROLE OF GEOSS AS THE DEFAULT DIGITAL PORTAL FOR BUILDING CLIMATE CHANGE ADAPTATION & MITIGATION APPLICATIONS

Publicaciones

Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region

Autores: Dumka, U.C.; Kosmopoulos, P.G.; Ningombam, S.S.; Masoom, A.
Publicado en: Special Issue Remote Sensing for Smart Renewable Cities, 2021, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13163248

Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India?

Autores: Dumka, U.C.; Kosmopoulos, P.G.; Patel, P.N.; Sheoran, R
Publicado en: Special Issue New Challenges in Solar Radiation, Modeling and Remote Sensing, 2022, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14030549

Selecting Surface Inclination for Maximum Solar Power

Autores: - Ioannis-Panagiotis Raptis, Institute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, Greece - Anna Moustaka, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, 15236 Athens, Greece - Panagiotis Kosmopoulos, Institute for Environmental Research and Sustainable Development, National
Publicado en: Special Issue Diagnosis and Prognostics of New and Renewable Energy Systems for Safety, 2022, ISSN 1996-1073
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15134784

Review of scientific literature on the use of globally available remote sensed data products for distributed hydrological modelling.

Autores: M. Haris Ali, Ioana Popescu, Andreja Jonoski, and Dimitri Solomatine Department of Hydroinformatics and Socio-Technical Innovation, IHE Delft Institute for Water Education, Delft, the Netherlands.
Publicado en: 2022
Editor: EGU22-10200
DOI: 10.5194/egusphere-egu22-10200

Co-designing user stories for geodata applications to support climate action in 5 GEO Societal Benefit Areas

Autores: Ruben Hage, Angelique Lansu, Borjana Bogatinoska, and Joop de Kraker Open Universiteit, Faculty of Science, Environmental Sciences, Heerlen, Netherlands (ruben.hage@ou.nl)
Publicado en: 2022
Editor: EGU22
DOI: 10.5194/egusphere-egu22-8444

Towards assessing agricultural land suitability with causal machine learning

Autores: - Georgios Giannarakis, BEYOND Center, IAASARS, National Observatory of Athens, Greece - Vasileios Sitokonstantinou, BEYOND Center, IAASARS, National Observatory of Athens, Greece Remote Sensing Laboratory, National Technical University of Athens, Greece - Roxanne Suzette Lorilla, BEYOND Center, IAASARS, National Observatory of Athens, Greece - Charalampos Kontoes, BEYOND Center, IAASARS, National
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/cvprw56347.2022.00150

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