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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
ISBN-13:
9783844312003
ISBN-10:
3844312005
Author:
Muhammad Bilal, Muhammad Imran Shahzad, Janet E. Nichol
Publication date:
2011
Publisher:
LAP LAMBERT Academic Publishing
Format:
Paperback
92 pages
Category:
Earth Sciences
FREE US shipping
Book details
ISBN-13:
9783844312003
ISBN-10:
3844312005
Author:
Muhammad Bilal, Muhammad Imran Shahzad, Janet E. Nichol
Publication date:
2011
Publisher:
LAP LAMBERT Academic Publishing
Format:
Paperback
92 pages
Category:
Earth Sciences
Summary
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 (ISBN-13: 9783844312003 and ISBN-10: 3844312005), written by authors
Muhammad Bilal, Muhammad Imran Shahzad, Janet E. Nichol, was published by LAP LAMBERT Academic Publishing in 2011.
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Description
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.
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