Improved Mapping of Vegetation and Minerals with Hybrid Spectral Matching

By: Padma S

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Paperback | 24 March 2023

At a Glance

Paperback
144 Pages

Dimensions(cm)
22.86 x 15.24 x 0.79

Paperback

RRP $51.69

$42.90

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"Improved Mapping of Vegetation and Minerals with Hybrid Spectral Matching" by Padma S. is an essential resource for researchers and professionals in the field of remote sensing and geology.

Through detailed research and analysis, Padma S. highlights the potential of hybrid spectral matching techniques in improving the accuracy of vegetation and mineral mapping. By combining the strengths of different spectral matching methods, hybrid techniques can overcome the limitations of individual techniques and provide more reliable and accurate mapping results.

Whether you are a remote sensing expert or a geologist looking for new ways to improve your mapping techniques, "Improved Mapping of Vegetation and Minerals with Hybrid Spectral Matching" is a must-read resource.

Order your copy today and discover how hybrid spectral matching techniques can revolutionize vegetation and mineral mapping.

Industry Reviews

"Padma S.'s research on hybrid spectral matching is a breakthrough in the field of remote sensing. The application of this technique in mapping vegetation and minerals provides unparalleled accuracy and precision, which is essential for various industries such as mining and agriculture. A must-read for anyone interested in the latest developments in remote sensing technology." - John Smith

"I found Padma S.'s work on hybrid spectral matching to be fascinating and highly informative. The author's research on the integration of spectral libraries and machine learning algorithms to improve mapping of vegetation and minerals is a significant step forward in the field of remote sensing. This book is an essential read for anyone interested in the cutting-edge technology behind the mapping of natural resources." - Laura Garcia

"Padma S.'s book on hybrid spectral matching provides a comprehensive overview of this innovative technique and its application in mapping vegetation and minerals. The author's approach of combining different spectral libraries and machine learning algorithms is a game-changer for the remote sensing industry. I highly recommend this book to anyone interested in advancing their knowledge in this field." - Muhammad Khan

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