Snow Grain Size Mapping using Hyperspectral Remote Sensing Data: Spectral Analysis, Pre-processing & Snow Grain Size Mapping of EO-1 Hyperion Data in a Part of Lower Himalayan Region Second Edition - Couverture souple

Saha, Arnab

9786209175725: Snow Grain Size Mapping using Hyperspectral Remote Sensing Data: Spectral Analysis, Pre-processing & Snow Grain Size Mapping of EO-1 Hyperion Data in a Part of Lower Himalayan Region Second Edition

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ISBN 10 : 6209175724 ISBN 13 : 9786209175725

Editeur : LAP LAMBERT Academic Publishing, 2025

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6209175724
ISBN 13: 9786209175725
Reliure: Broch�
Nombre de pages: 68
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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Snow Grain Size Mapping using Hyperspectral Remote Sensing Data

Arnab Saha

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209175724 ISBN 13 : 9786209175725

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. N� de r�f. du vendeur 9786209175725

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Snow Grain Size Mapping using Hyperspectral Remote Sensing Data

Arnab Saha

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209175724 ISBN 13 : 9786209175725

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Snow is the part of atmosphere in the climate system of the earth and its physical parameters play an important role in hydrological and climate models. The present study explained that the imaging spectroscopy to produce the snow cover maps and estimation of snow grain size in the North-Western Himalayan region. It is necessary to develop an approach to map snow cover, snow grain size spatially using advance remote sensing technique. Remote sensing techniques can provide spatial information of a large extent at good temporal scale. In the present study, one of the important snow physical parameters (i.e snow grain size) has been estimated using Spectral angle mapper (SAM) classification method and Grain index (GI) method. Study was carried out by using NASA's hyperspectral EO-1 Hyperion sensor data of 12th January and 23rd January 2016 were used to map grain size of snow. The snow map generating for dry snow, small grain size snow, medium grain size snow, large grain size snow and wet snow classes. This study is of importance in this mapping of snow-cover characteristics, which can provide valuable input for climatology, hydrology, and mountain hazard applications.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 68 pp. Englisch. N� de r�f. du vendeur 9786209175725

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