Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools. Volume 1: Fundementals, Mapping and Monitoring.. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cham, Springer., 2018
- Brossura
- Usato
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermaniaUniversitätsbuchhandlung Herta Hold GmbH
Venditore AbeBooks dal 9 aprile 2003
Membro dell’associazione: VDAGIAQILAB
Visualizza gli articoli di questo venditoreCondizione: Usato
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Descrizione dell’articolo da parte del venditore
603 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Codice articolo 2715LB
- Titolo
- Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools. Volume 1: Fundementals, Mapping and Monitoring.
- Autore
- Sassa, Kyoji et al.
- Editore
- Cham, Springer.
- Anno di pubblicazione
- 2018
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 3319862456
- ISBN 13
- 9783319862453
- Cataloghi dei venditori
- Geowissenschaften
This interactive book presents comprehensive information on the fundamentals of landslide types and dynamics, while also providing a set of PPT, PDF, and text tools for education and capacity development. As the core activity of the Sendai Partnerships, the International Consortium of Landslides has created this two-volume work, which will be regularly updated and improved over the coming years, based on responses from users and lessons learned during its application.
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Dalla quarta di copertina
This interactive book presents comprehensive information on the fundamentals of landslide types and dynamics, while also providing a set of PPT, PDF, and text tools for education and capacity development. As the core activity of the Sendai Partnerships, the International Consortium of Landslides has created this two-volume work, which will be regularly updated and improved over the coming years, based on responses from users and lessons learned during its application.
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