{ "item_title" : "Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery", "item_author" : [" Nasrin Nasrollahi "], "item_description" : "This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed big data. The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/936/332/3319363328_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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