Hyperspectral remote sensing : theory and applications
Contributor(s): Pandey, Prem Chandra [ed.] | Srivastava, Prashant K. [ed.] | Balzter, Heiko [ed.] | Bhattacharya, Bimal [ed.] | Petropoulos, George P. [ed.].
Series: Earth observation series. Publisher: Amsterdam Elsevier 2020Description: xxx, 476p.ISBN: 9780081028940.Subject(s): Hyperspectral imaging | Remote sensingDDC classification: 621.3678 | H999 Summary: Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 621.3678 H999 (Browse shelf) | Checked out to Deepak Dhingra (E0583500) | 09/09/2024 | A185861 |
Total holds: 0
Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology.
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