Isbn: 9786206150503 - forest fire risk zonation mapping using gis techniques (5 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2023

      620615050X / 9786206150503

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      EUR 39,45

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      Taschenbuch. Condición: Neu. Forest Fire Risk Zonation Mapping Using GIS Techniques | Amit Kumar Verma (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206150503 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jun 2023, 2023

      620615050X / 9786206150503

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 43,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the parameters according to their sensitivity to fire or their fire-inducing capability. Two categories of fire sensitive regions such as most sensitive and sensitive fire intensity zones were identified. The result shows that almost 20% of the study area was predicted to be under most sensitive. The evolved GIS-based forest fire risk model of the study area was found to be in strong agreement with actual fire-affected sites. Such study can help in preparing base map for preparatory planning for forest fire management for a particular area. 88 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP Lambert Academic Publishing, 2023

      620615050X / 9786206150503

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      Librería: moluna, Greven, Alemaniamoluna

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      EUR 37,23

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      Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fir.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2023

      620615050X / 9786206150503

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      EUR 64,04

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      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the parameters according to their sensitivity to fire or their fire-inducing capability. Two categories of fire sensitive regions such as most sensitive and sensitive fire intensity zones were identified. The result shows that almost 20% of the study area was predicted to be under most sensitive. The evolved GIS-based forest fire risk model of the study area was found to be in strong agreement with actual fire-affected sites. Such study can help in preparing base map for preparatory planning for forest fire management for a particular area.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jun 2023, 2023

      620615050X / 9786206150503

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      EUR 43,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the parameters according to their sensitivity to fire or their fire-inducing capability. Two categories of fire sensitive regions such as most sensitive and sensitive fire intensity zones were identified. The result shows that almost 20% of the study area was predicted to be under most sensitive. The evolved GIS-based forest fire risk model of the study area was found to be in strong agreement with actual fire-affected sites. Such study can help in preparing base map for preparatory planning for forest fire management for a particular area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.