This monograph provides comprehensive coverage of the collection,
management, and use of big data obtained from remote sensing. The
book begins with an introduction to the basics of big data and
remote sensing, laying the groundwork for the more specialized
information to follow. The volume then goes on to address a wide
variety of topics related to the use and management of remote
sensing big data, including hot topics such as analysis through
machine learning, cyberinfrastructure, and modeling. Examples on
how to use the results of big data analysis of remotely sensed data
for concrete decision-making are offered as well. The closing
chapters discuss geospatial big data initiatives throughout the
world and future challenges and opportunities for remote sensing
big data applications. The audience for this book includes
researchers at the intersection of geoscience and data science,
senior undergraduate and graduate students, and anyone else
interested in how large datasets obtained through remote sensing
can be best utilized. The book presents a culmination of 30 years
of research from renowned spatial scientists Drs. Liping Di and
Eugene Yu.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Springer Remote Sensing/Photogrammetry |
| Release date: |
August 2023 |
| First published: |
2023 |
| Authors: |
Liping Di
• Eugene Yu
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
295 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-133931-8 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-133931-2 |
| Barcode: |
9783031339318 |
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