{"product_id":"improving-infrared-based-precipitation-retrieval-algorithms-using-multi-spectral-satellite-imagery-9783319363325","title":"Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery","description":"\u003cp\u003e • Author(s): Nasrin Nasrollahi\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Physics - Geophysics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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. \u003c\/p\u003e\u003cp\u003eUsing 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. \u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277045424279,"sku":"9783319363325","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319363325.webp?v=1769287334","url":"https:\/\/atlanticbooks.com\/products\/improving-infrared-based-precipitation-retrieval-algorithms-using-multi-spectral-satellite-imagery-9783319363325","provider":"Atlantic Books","version":"1.0","type":"link"}