Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Remote Sensing for Small Scale Irrigation | Estimation of Evapotranspiration for Irrigation Performance Assessment by Using RS and GIS at Kobo Valley, Ethiopia | Tegegne Molla | Taschenbuch | 112 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659316234 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrellopaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2013, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The irrigation performance of Kobo valley irrigation project, Ethiopia, a small-scale irrigation scheme, was analysed with the use of remote sensing technique. The major advantage of remote sensing derived data over field measured data is that it provides spatially distributed and objective information. Five irrigation performance indicators, entirely based on remote sensing and statistical data, were applied to assess the irrigation performance. The surface energy balance algorithm for land model was applied to Landsat images to calculate evapotranspiration and crop water consumption spatially. These maps were used to analyse the performance of irrigation and the crop water requirement. 112 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: moluna, Greven, Germania
EUR 41,05
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Molla TegegneI have MSc. degree in GIS and Remote Sensing from Earth Sciences Department of Addis Ababa University, BSc degree in Natural Resource Management from Jimma University. my major areas of experience includes Eco-Region pla.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2013, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The irrigation performance of Kobo valley irrigation project, Ethiopia, a small-scale irrigation scheme, was analysed with the use of remote sensing technique. The major advantage of remote sensing derived data over field measured data is that it provides spatially distributed and objective information. Five irrigation performance indicators, entirely based on remote sensing and statistical data, were applied to assess the irrigation performance. The surface energy balance algorithm for land model was applied to Landsat images to calculate evapotranspiration and crop water consumption spatially. These maps were used to analyse the performance of irrigation and the crop water requirement.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659316237 ISBN 13: 9783659316234
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The irrigation performance of Kobo valley irrigation project, Ethiopia, a small-scale irrigation scheme, was analysed with the use of remote sensing technique. The major advantage of remote sensing derived data over field measured data is that it provides spatially distributed and objective information. Five irrigation performance indicators, entirely based on remote sensing and statistical data, were applied to assess the irrigation performance. The surface energy balance algorithm for land model was applied to Landsat images to calculate evapotranspiration and crop water consumption spatially. These maps were used to analyse the performance of irrigation and the crop water requirement.