TY - BOOK
T1 - Advances in Scalable and Intelligent Geospatial Analytics
T2 - Challenges and Applications
AU - Durbha, Surya S.
AU - Sanyal, Jibonananda
AU - Yang, Lexie
AU - Chaudhari, Sangita S.
AU - Bhangale, Ujwala
AU - Bharambe, Ujwala
AU - Kurte, Kuldeep
N1 - Publisher Copyright:
© 2023 selection and editorial matter, Surya S Durbha, Jibonananda Sanyal, Lexie Yang, Sangita S Chaudhari, Ujwala Bhangale, Ujwala Bharambe, and Kuldeep Kurte.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental-and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatia analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.
AB - Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental-and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatia analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.
UR - http://www.scopus.com/inward/record.url?scp=85165389127&partnerID=8YFLogxK
U2 - 10.1201/9781003270928
DO - 10.1201/9781003270928
M3 - Book
AN - SCOPUS:85165389127
SN - 9781032200316
BT - Advances in Scalable and Intelligent Geospatial Analytics
PB - CRC Press
ER -
