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Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Pawan Kumar Sen
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Pawan Kumar Sen:
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Livres de poche

2003, ISBN: 3838372247

[SR: 12518503], Paperback, [EAN: 9783838372242], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], LAP LAMBERT Academic Publishing, With the combined information from GIS and satellite remote sensing with gound data, this research has developed a water balance model of the Roxo catchment (Portugal) by using Thornthwaite-Mather method based on the recent climatological data (2001- 2003) in order to assess available water for the irrigation. The study shows that depleted fraction during May-September, which is the core irrigation season, is around or higher than 1. This indicates the short supply of irrigation to the crops. Various irrigation performance indicators also describes that none of the major crops in the Roxo irrigation command area has a sufficient supply of water. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to calculate acutual evapotranspiration by using four Landsat and eleven Modis images. Estimation of actual evapotranspiration from the SEBAL algorithm is the most crucial part in the study of irrigation performance and water balance as it can map the spatial and temporal structure of evapotranspiration for every landcover type., 3049011, Irrigation, 226680, Agricultural Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 13592, Earth Sciences, 16053161, Atmospheric Sciences, 226695, Cartography, 16053231, Climatology, 13577, Crystallography, 13596, Earthquakes & Volcanoes, 13529, Ecology, 13598, Environmental Science, 226694, Geochemistry, 13602, Geography, 13603, Geology, 13605, Geophysics, 13665, Hydrology, 13615, Mineralogy, 13617, Natural Disasters, 13625, Rivers, 14538, Rocks & Minerals, 13628, Seismology, 14484, Weather, 75, Science & Math, 1000, Subjects, 283155, Books

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Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Pawan Kumar Sen
Livre non disponible
(*)
Pawan Kumar Sen:
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Livres de poche

2003, ISBN: 3838372247

[SR: 12518503], Paperback, [EAN: 9783838372242], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], LAP LAMBERT Academic Publishing, With the combined information from GIS and satellite remote sensing with gound data, this research has developed a water balance model of the Roxo catchment (Portugal) by using Thornthwaite-Mather method based on the recent climatological data (2001- 2003) in order to assess available water for the irrigation. The study shows that depleted fraction during May-September, which is the core irrigation season, is around or higher than 1. This indicates the short supply of irrigation to the crops. Various irrigation performance indicators also describes that none of the major crops in the Roxo irrigation command area has a sufficient supply of water. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to calculate acutual evapotranspiration by using four Landsat and eleven Modis images. Estimation of actual evapotranspiration from the SEBAL algorithm is the most crucial part in the study of irrigation performance and water balance as it can map the spatial and temporal structure of evapotranspiration for every landcover type., 3049011, Irrigation, 226680, Agricultural Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 13592, Earth Sciences, 16053161, Atmospheric Sciences, 226695, Cartography, 16053231, Climatology, 13577, Crystallography, 13596, Earthquakes & Volcanoes, 13529, Ecology, 13598, Environmental Science, 226694, Geochemistry, 13602, Geography, 13603, Geology, 13605, Geophysics, 13665, Hydrology, 13615, Mineralogy, 13617, Natural Disasters, 13625, Rivers, 14538, Rocks & Minerals, 13628, Seismology, 14484, Weather, 75, Science & Math, 1000, Subjects, 283155, Books

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Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS - Pawan Kumar Sen
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Pawan Kumar Sen:
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS - nouveau livre

2003, ISBN: 9783838372242

ID: 05344679b7c934832efd50e5392d543f

A case study of the Roxo dam irrigation system, Alentejo Province, Portugal With the combined information from GIS and satellite remote sensing with gound data, this research has developed a water balance model of the Roxo catchment (Portugal) by using Thornthwaite-Mather method based on the recent climatological data (2001- 2003) in order to assess available water for the irrigation. The study shows that depleted fraction during May-September, which is the core irrigation season, is around or higher than 1. This indicates the short supply of irrigation to the crops. Various irrigation performance indicators also describes that none of the major crops in the Roxo irrigation command area has a sufficient supply of water. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to calculate acutual evapotranspiration by using four Landsat and eleven Modis images. Estimation of actual evapotranspiration from the SEBAL algorithm is the most crucial part in the study of irrigation performance and water balance as it can map the spatial and temporal structure of evapotranspiration for every landcover type. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8383-7224-2, LAP Lambert Academic Publishing

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Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS - Pawan Kumar Sen
Livre non disponible
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Pawan Kumar Sen:
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS - nouveau livre

2003, ISBN: 9783838372242

ID: 138580090

With the combined information from GIS and satellite remote sensing with gound data, this research has developed a water balance model of the Roxo catchment (Portugal) by using Thornthwaite-Mather method based on the recent climatological data (2001- 2003) in order to assess available water for the irrigation. The study shows that depleted fraction during May-September, which is the core irrigation season, is around or higher than 1. This indicates the short supply of irrigation to the crops. Various irrigation performance indicators also describes that none of the major crops in the Roxo irrigation command area has a sufficient supply of water. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to calculate acutual evapotranspiration by using four Landsat and eleven Modis images. Estimation of actual evapotranspiration from the SEBAL algorithm is the most crucial part in the study of irrigation performance and water balance as it can map the spatial and temporal structure of evapotranspiration for every landcover type. A case study of the Roxo dam irrigation system, Alentejo Province, Portugal Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Pawan Kumar Sen
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Pawan Kumar Sen:
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS: A case study of the Roxo dam irrigation system, Alentejo Province, Portugal - Livres de poche

ISBN: 3838372247

Taschenbuch, [EAN: 9783838372242], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], LAP LAMBERT Academic Publishing, 56092011, Geowissenschaften, 56153011, Atmosphärische Wissenschaften, 56093011, Erdbeben & Vulkane, 1320296031, Flüsse, 56088011, Geochemie, 56096011, Geographie, 56102011, Geologie, 56127011, Geophysik, 56151011, Kartografie, 56160011, Klimatologie, 56152011, Kristallografie, 56134011, Mineralogie, 1320295031, Naturkatastrophen, 56148011, Schürfen & Bergbau, 56150011, Seismologie, 56094011, Umweltwissenschaften, 56166011, Ökologie, 56047011, Fachbücher, 54071011, Genres, 52044011, Fremdsprachige Bücher

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Détails sur le livre
Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS
Auteur:

Sen, Pawan Kumar

Titre:

Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS

ISBN:

With the combined information from GIS and satellite remote sensing with gound data, this research has developed a water balance model of the Roxo catchment (Portugal) by using Thornthwaite-Mather method based on the recent climatological data (2001- 2003) in order to assess available water for the irrigation. The study shows that depleted fraction during May-September, which is the core irrigation season, is around or higher than 1. This indicates the short supply of irrigation to the crops. Various irrigation performance indicators also describes that none of the major crops in the Roxo irrigation command area has a sufficient supply of water. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to calculate acutual evapotranspiration by using four Landsat and eleven Modis images. Estimation of actual evapotranspiration from the SEBAL algorithm is the most crucial part in the study of irrigation performance and water balance as it can map the spatial and temporal structure of evapotranspiration for every landcover type.

Informations détaillées sur le livre - Diagnosing Irrigation Water Resources with Multi-Sensor RS and GIS


EAN (ISBN-13): 9783838372242
ISBN (ISBN-10): 3838372247
Version reliée
Livre de poche
Date de parution: 2003
Editeur: Lap Lambert Acad. Publ. Sep 2010

Livre dans la base de données depuis 16.02.2007 20:06:07
Livre trouvé récemment le 05.08.2016 11:06:42
ISBN/EAN: 9783838372242

ISBN - Autres types d'écriture:
3-8383-7224-7, 978-3-8383-7224-2


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