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 - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Research Fellow in Uttarakhand Technical University, Dehradun in Snow & Glacier studies project. Completed M.Tech in Geoinformatics & Remote Sensing from Amity University. PG Diploma in Remote Sensing & GIS from IIRS, ISRO, Dehradun. Area of interest lies in Hydrology, Hyperspectral Remote Sensing, Snow & Glacier studies and Water Resources.
"About this title" may belong to another edition of this title.
Search results for Snow Grain Size Mapping using Hyperspectral Remote...
Seller Image
Snow Grain Size Mapping using Hyperspectral Remote Sensing Data
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 68 pp. Englisch. Seller Inventory # 9786137321973
Stock Image
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
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Seller Inventory # zk6137321975
Buy New
£ 53.46
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Snow Grain Size Mapping using Hyperspectral Remote Sensing Data
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha ArnabResearch Fellow in Uttarakhand Technical University, Dehradun in Snow & Glacier studies project. Completed M.Tech in Geoinformatics & Remote Sensing from Amity University. PG Diploma in Remote Sensing & GIS from IIRS, ISRO,. Seller Inventory # 385844834
Buy New
£ 27.84
£ 42.35 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Snow Grain Size Mapping using Hyperspectral Remote Sensing Data
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9786137321973
Seller Image
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
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786137321973
Seller Image
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
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137321975
ISBN 13: 9786137321973
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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 | Arnab Saha | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137321973 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 111464847