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2010, ISBN: 9789048156481
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2022, ISBN: 9789048156481
[ED: Taschenbuch], [PU: Springer Netherlands], Neuware - 1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department o… Más…
Beniston, Martin|Verstraete, Michel M.:
Remote Sensing and Climate Modeling: Synergies and Limitations - Pasta blanda2010, ISBN: 9048156483
[EAN: 9789048156481], Neubuch, [PU: Springer Netherlands], AEROSOL ALBEDO CLIMATOLOGY SCALE SNOW CLIMATECHANGE GLOBALCIRCULATION REMOTESENSING VEGETATION GEOWISSENSCHAFTEN SONSTIGES CLIMA… Más…
2010
ISBN: 9048156483
Softcover reprint of the original 1st ed. 2001 Kartoniert / Broschiert Interdisziplinäre Studien, Geographische Informationssysteme (GIS) und Fernerkundung, Umwelt, Aerosol; Albedo; Cli… Más…
2001, ISBN: 9789048156481
*Remote Sensing and Climate Modeling: Synergies and Limitations* - Softcover reprint of the original 1st ed. 2001 / Taschenbuch für 160.49 € / Aus dem Bereich: Bücher, Wissenschaft, Geowi… Más…
2010, ISBN: 9789048156481
Buch, Softcover, Softcover reprint of the original 1st ed. 2001, [PU: Springer], Springer, 2010
Datos bibliográficos del mejor libro coincidente
Detalles del libro - Remote Sensing and Climate Modeling: Synergies and Limitations
EAN (ISBN-13): 9789048156481
ISBN (ISBN-10): 9048156483
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer Netherlands
356 Páginas
Peso: 0,567 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2011-10-08T15:41:50+02:00 (Madrid)
Página de detalles modificada por última vez el 2023-09-26T23:46:46+02:00 (Madrid)
ISBN/EAN: 9789048156481
ISBN - escritura alterna:
90-481-5648-3, 978-90-481-5648-1
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: michel, beniston, martin pöt
Título del libro: synergie, remote sensing, climate
Datos del la editorial
Autor: Martin Beniston; Michel M. Verstraete
Título: Advances in Global Change Research; Remote Sensing and Climate Modeling: Synergies and Limitations
Editorial: Springer; Springer Netherland
346 Páginas
Año de publicación: 2010-10-22
Dordrecht; NL
Impreso en
Idioma: Inglés
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
X, 346 p.
BC; Hardcover, Softcover / Geowissenschaften/Sonstiges; Meteorologie und Klimatologie (Klimaforschung); Verstehen; Aerosol; Albedo; Climatology; Scale; Snow; climate change; global circulation; remote sensing; vegetation; Atmospheric Science; Geographical Information System; Humanities and Social Sciences; Environmental Sciences; Geographische Informationssysteme (GIS) und Fernerkundung; Interdisziplinäre Studien; Umwelt; BB
A global vegetation index for SeaWiFS: Design and applications.- Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments.- Exploitation of Surface Albedo Derived From the Meteosat Data to Characterize Land Surface Changes.- Towards a Climatology of Australian Land Surface Albedo for use in Climate Models.- Collocated surface and satellite observations as constraints for Earth radiation budget simulations with global climate models.- How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics?.- Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations.- Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature.- Snow Cover Fraction In A General Circulation Model.- Boreal Forest Fire Regimes And Climate Change.- Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the swiss alps.- Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate.- The Use of Remotely-Sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area.- Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental applications on the regional scale.Más, otros libros, que pueden ser muy parecidos a este:
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