Big Data for Remote Sensing: Visualization, Analysis and Interpretation Digital Earth and Smart Earth /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Dey, Nilanjan (Editor, http://id.loc.gov/vocabulary/relators/edt), Bhatt, Chintan (Editor, http://id.loc.gov/vocabulary/relators/edt), Ashour, Amira S. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Geographical information systems.; Environmental sciences.; Optical data processing.; Computer mathematics.; Geographical Information Systems/Cartography.; Environmental Science and Engineering.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computational Mathematics and Numerical Analysis.

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolu...

Table of Contents:

• (It will be properly included - PDF attached) Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health
• Aerial and Satellite imagery and big data: blending old technologies with new trends
• Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis
• Earth Science [Big] Data Analytics
• Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.