Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139956447 ISBN 13: 9786139956449
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 56,64
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In den WarenkorbPaperback. Zustand: Brand New. 56 pages. 8.78x6.02x0.28 inches. In Stock.
Taschenbuch. Zustand: Neu. Neuware - Before Rain is the moment when the earth, parched for a long time, catches a glimpse of quenching-a quiet promise of fulfillment.That moment is often more beautiful than the rain itself.Sometimes we feel it-a brief moment of clarity, beauty, or stillness.And then it slips away.Before Rain is a collection of poems that dwells in that fragile, crackling space-just before something opens, just before everything changes.These poems move through the outer world and inward-through memory, longing, and fleeting glimpses of something vast-toward a realization that feels both intimate and universal.Because sometimes a moment deserves a poem.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139956447 ISBN 13: 9786139956449
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Fires have been a major agent of environmental change and forest fires are a major cause of changes in forest structure and function. Among various floristic regions, the northeast region suffers maximum from the fires due to the age-old practice of shifting cultivation and spread of fires from jhum fields. For proper mitigation and management, an early warning of forest fires through risk modelling is required. The present study demonstrates the potential use of remote sensing and Geographic Information System (GIS) in identifying forest fire prone areas in Manipur, southeastern part of Northeast India. Land use land cover (LULC), vegetation type, Digital elevation model (DEM), slope, aspect and proximity to roads and settlements; factors that influence the behavior of fire, were used to model the forest fire risk zones. Each class of the layers was given weight according to their fire inducing capability and their sensitivity to fire. Weighted sum modelling and ISODATA clustering was used to classify the fire zones.