Advanced remote sensing [2nd ed] : terrestrial information extraction and applications
Contributor(s): Liang, Shunlin [ed.] | Wang, Jindi [ed.].
Publisher: London Academic Press 2020Edition: 2nd ed.Description: xxiii, 986p.ISBN: 9780128158265.Subject(s): Remote sensing | Earth sciences -- Remote sensing | Environmental sciences -- Remote sensingDDC classification: 910.285 | Ad95r2 Summary: Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 910.285 Ad95r2 (Browse shelf) | Available | A185225 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
910.028 G335m MODELS OF SPATIAL PROCESSES | 910.09 C698a LES ASPECTS INTERNATIONAUX DE LA DECOUVERTE OCEANIQUE AUX XVe ET XVIe SIECLES | 910.285 Ad95 Advanced remote sensing | 910.285 Ad95r2 Advanced remote sensing [2nd ed] | 910.285 B458G3 GEOGRAPHIC INFORMATION SYSTEMS | 910.285 B77l Location-based services and geo-information engineering | 910.285 B946P PRINCIPLES OF GEOGRAPHICAL INFORMATION SYSTEMS |
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation.
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