Northern Area of Pakistan consists of the mountainous region, which is rich in snow cover. The concentration of snow in this area is main hydrological resource for Pakistan. Accurate mapping of snow for this area is inevitable for the forecasting of snow-melt discharge for flood control, energy production and irrigation. MODIS snow-cover product (MOD10A1) is generated through an automated procedure which detects and masks clouds from snow surface using a global default algorithm. This distinction is challenging since snow and cloud have comparable reflectance and often comparable temperatures. The accuracy of snow map depends on the accuracy of the cloud mask, that entirely relies on thresholds which may be different in different regions. In this book, development of a regional based snow mapping algorithm is discussed for Northern Pakistan using MODIS data for the period of 2000 to 2008. The results are compared with the MODIS cloud mask in daily snow cover product (MOD10A1). The algorithm can be used for water resource management, as it improves the identification of snow by reducing the spectral overlaps between clouds and snow.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Northern Area of Pakistan consists of the mountainous region, which is rich in snow cover. The concentration of snow in this area is main hydrological resource for Pakistan. Accurate mapping of snow for this area is inevitable for the forecasting of snow-melt discharge for flood control, energy production and irrigation. MODIS snow-cover product (MOD10A1) is generated through an automated procedure which detects and masks clouds from snow surface using a global default algorithm. This distinction is challenging since snow and cloud have comparable reflectance and often comparable temperatures. The accuracy of snow map depends on the accuracy of the cloud mask, that entirely relies on thresholds which may be different in different regions. In this book, development of a regional based snow mapping algorithm is discussed for Northern Pakistan using MODIS data for the period of 2000 to 2008. The results are compared with the MODIS cloud mask in daily snow cover product (MOD10A1). The algorithm can be used for water resource management, as it improves the identification of snow by reducing the spectral overlaps between clouds and snow.
Authors are with the Remote Sensing Research Group in Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong. Where Prof. Janet, an applied Geographer specialized in remote sensing & Geo-Informatics is Group Leader, Mr. Shahzad and Mr. Bilal are PhD Fellows in the field of Photogrammetry & Remote Sensing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Northern Area of Pakistan consists of the mountainous region, which is rich in snow cover. The concentration of snow in this area is main hydrological resource for Pakistan. Accurate mapping of snow for this area is inevitable for the forecasting of snow-melt discharge for flood control, energy production and irrigation. MODIS snow-cover product (MOD10A1) is generated through an automated procedure which detects and masks clouds from snow surface using a global default algorithm. This distinction is challenging since snow and cloud have comparable reflectance and often comparable temperatures. The accuracy of snow map depends on the accuracy of the cloud mask, that entirely relies on thresholds which may be different in different regions. In this book, development of a regional based snow mapping algorithm is discussed for Northern Pakistan using MODIS data for the period of 2000 to 2008. The results are compared with the MODIS cloud mask in daily snow cover product (MOD10A1). The algorithm can be used for water resource management, as it improves the identification of snow by reducing the spectral overlaps between clouds and snow. 92 pp. Englisch. N° de réf. du vendeur 9783844312003
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shahzad Muhammad ImranAuthors are with the Remote Sensing Research Group in Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong. Where Prof. Janet, an applied Geographer specialized in remo. N° de réf. du vendeur 5471670
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Northern Area of Pakistan consists of the mountainous region, which is rich in snow cover. The concentration of snow in this area is main hydrological resource for Pakistan. Accurate mapping of snow for this area is inevitable for the forecasting of snow-melt discharge for flood control, energy production and irrigation. MODIS snow-cover product (MOD10A1) is generated through an automated procedure which detects and masks clouds from snow surface using a global default algorithm. This distinction is challenging since snow and cloud have comparable reflectance and often comparable temperatures. The accuracy of snow map depends on the accuracy of the cloud mask, that entirely relies on thresholds which may be different in different regions. In this book, development of a regional based snow mapping algorithm is discussed for Northern Pakistan using MODIS data for the period of 2000 to 2008. The results are compared with the MODIS cloud mask in daily snow cover product (MOD10A1). The algorithm can be used for water resource management, as it improves the identification of snow by reducing the spectral overlaps between clouds and snow.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9783844312003
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Northern Area of Pakistan consists of the mountainous region, which is rich in snow cover. The concentration of snow in this area is main hydrological resource for Pakistan. Accurate mapping of snow for this area is inevitable for the forecasting of snow-melt discharge for flood control, energy production and irrigation. MODIS snow-cover product (MOD10A1) is generated through an automated procedure which detects and masks clouds from snow surface using a global default algorithm. This distinction is challenging since snow and cloud have comparable reflectance and often comparable temperatures. The accuracy of snow map depends on the accuracy of the cloud mask, that entirely relies on thresholds which may be different in different regions. In this book, development of a regional based snow mapping algorithm is discussed for Northern Pakistan using MODIS data for the period of 2000 to 2008. The results are compared with the MODIS cloud mask in daily snow cover product (MOD10A1). The algorithm can be used for water resource management, as it improves the identification of snow by reducing the spectral overlaps between clouds and snow. N° de réf. du vendeur 9783844312003
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Taschenbuch. Etat : Neu. Identification of Clouds and Snow in Northern Pakistan | Development of Regional Based Snow Mapping Algorithm Using Liberal Cloud Mask and Comparison with MODIS Snow-Cover Product | Muhammad Imran Shahzad (u. a.) | Taschenbuch | 92 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844312003 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107070624
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