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1. |
Record Nr. |
UNINA990004855490403321 |
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Autore |
Lemprière, John |
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Titolo |
Bibliotheca classica : or, a dictionary of all the principal names and terms relating geography, topography, history, literature and mythology of antiquity and of the ancients whit a cronogical table / by J. Lemprière ; revised and corrected and divided under separate heads into three parts by Lorenzo Da Ponte and John D. Ogilby |
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Pubbl/distr/stampa |
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Philadlphia : J.B. Lippincott C., 1888 |
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Edizione |
[50. ed.] |
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Descrizione fisica |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910438244103321 |
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Autore |
Rosel Anja |
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Titolo |
Detection of melt ponds on arctic sea ice with optical satellite data / / Anja Rosel |
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Pubbl/distr/stampa |
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Heidelberg ; ; New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (120 p.) |
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Collana |
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Hamburg studies on maritime affairs, , 1614-2462 ; ; v. 25 |
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Disciplina |
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Soggetti |
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Sea ice - Arctic Ocean - Remote sensing |
Snow - Arctic regions - Remote sensing |
Artificial satellites in remote sensing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Physical characteristics of sea ice -- Optical Remote Sensing -- Melt pond determination from Landsat satellite data -- Melt pond determination from MODIS data -- Summary and outlook -- Glossary. |
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Sommario/riassunto |
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The Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence accelerate the decay of Arctic sea ice. To quantify the melting of the entire Arctic sea ice, satellite based observations are necessary. Due to different spectral properties of snow, ice, and water, theoretically, multi-spectral optical sensors are necessary for the analysis of these distinct surface types. This study demonstrates the potential of optical sensors to detect melt ponds on Arctic sea ice. For the first time, an Arctic-wide, multi-annual melt pond data set for the years 2000-2011 has been created and analyzed. |
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