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Fundamentals of satellite remote sensing : an environmental approach /

by Chuvieco, Emilio.
Material type: materialTypeLabelBookPublisher: Boca Raton : CRC Press, 2020Edition: 3rd ed.Description: xv, 415 p. : ill. (chiefly col.) ; 26 cm.ISBN: 9781138583832 (hbk).Subject(s): Remote sensing | Remote sensing -- Environmental aspects | Environmental monitoring -- Remote sensing | Global environmental change -- Remote sensingSummary: "This third edition covers the most recent advances incorporated since the publication of the previous book, relating to the acquisition and interpretation of remotely-sensed data. It includes updated EO missions, such as the third generations of geostationary meteorological satellites, the new polar orbiting platforms (Suomi), the ESA Sentinels program, and high-resolution commercial systems. Low-altitude sensing systems and improved coverage of digital techniques used to extract environmental information from remote sensing will be included as well; particularly, new machine learning classification techniques. Extended coverage of radar and LIDAR processing methods will also be included"-- Provided by publisher.
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Item type Current location Collection Call number Copy number Status Notes Date due Barcode
Books Books Dhaka University Science Library
General Stacks
Non Fiction 621.3678 CHF (Browse shelf) 1 Available Geography & Environment 525771
Books Books Dhaka University Science Library
General Stacks
Non Fiction 621.3678 CHF (Browse shelf) 2 Available tr. to Geography & Environment 525772

Includes bibliographical references and index.

"This third edition covers the most recent advances incorporated since the publication of the previous book, relating to the acquisition and interpretation of remotely-sensed data. It includes updated EO missions, such as the third generations of geostationary meteorological satellites, the new polar orbiting platforms (Suomi), the ESA Sentinels program, and high-resolution commercial systems. Low-altitude sensing systems and improved coverage of digital techniques used to extract environmental information from remote sensing will be included as well; particularly, new machine learning classification techniques. Extended coverage of radar and LIDAR processing methods will also be included"-- Provided by publisher.

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