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1. |
Record Nr. |
UNINA9910691805303321 |
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Titolo |
Integrating ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories [[electronic resource] /] / Robert E. Keane...[and others] |
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Pubbl/distr/stampa |
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Fort Collins, CO : , : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, , [2002] |
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Collana |
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General technical report RMRS ; ; GTR-92 |
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Altri autori (Persone) |
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Soggetti |
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Ecosystem management - Simulation methods |
Ecosystem management - 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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Title from Web page (viewed on February, 27, 2003). |
Cover title. |
"June 2002." |
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Nota di bibliografia |
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Includes bibliographical references (pages 36-40). |
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2. |
Record Nr. |
UNISA990001678890203316 |
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Autore |
Biblioteca nazionale centrale <Firenze> |
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Titolo |
13. : Firenze (R. Biblioteca Nazionale Centrale) / [a cura di] G. Mazzatinti e F. Pintor |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Manoscritti - Italia - Biblioteche |
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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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Note generali |
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Rist. dell'ed.: Forlì, 1905-06 |
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3. |
Record Nr. |
UNINA9910299553403321 |
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Titolo |
Early warning for geological disasters : scientific methods and current practice / / Friedemann Wenzel, Jochen Zschau, editors |
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Pubbl/distr/stampa |
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Berlin ; ; Heidelberg, : Springer-Verlag, 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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Collana |
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Advanced technologies in earth sciences |
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Altri autori (Persone) |
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WenzelF (Friedemann) |
ZschauJochen <1944-> |
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Disciplina |
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Soggetti |
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Natural disaster warning systems |
Natural disasters |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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The past years have seen new technologies that could be utilized for early warning and real-time loss estimation. They include self-organizing sensor networks, new satellite imagery with high resolution, multi-sensor observational capacities, and crowd sourcing. From this and improved physical models, data processing and communication methodologies a significant step towards better early warning technologies has been achieved by research. At the same time, early warning systems became part of the disaster management practice for instance in Japan and Indonesia. This book marks the important point where: Research activities continue to improve early warning Experience with applications is expanding At this critical point in development of early warning for geological disasters it is timely to provide a volume that documents the state-of-the-art, provides an overview on recent developments and serves as knowledge resource for researcher and practitioners. |
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