This book, presented in three volumes, examines “environmental” disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing.
Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data.
Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.
Part 1. Earth Science Remote Sensing
1. A Brief History of Remote Sensing, Dominique Laffly.
2. Physics of RS, Luca Tomassetti.
3. Image Quality, Dominique Laffly.
4. Remote Sensing Products, Van Ha Pham, Viet Hung Luu, Anh Phan, Dominique Laffly, Quang Hung Bui and Thi Nhat Thanh Nguyen.
5. Image Processing in Spark, Yannick Le Nir, Florent Devin, Thomas Baldaquin, Pierre Mesler Lazennec, Ji Young Jung, Se-Eun Kim, Hyeyoung Kwoon, Lennart Nilsen, Yoo Kyung Lee and Dominique Laffly.
6. Satellite Image Processing using Spark on the HUPI Platform, Vincent Moreno and Minh Tu Nguyen.
7. Remote Sensing Case Studies, Van Ha Pham, Thi Nhat Thanh Nguyen and Domnique Laffly.
Part 2. GIS Application and Geospatial Data Infrastructure
8. Overview of GIS Application, Quang Huy Man.
9. Spatial Data Infrastructure, Quang Hung Bui, Quang Thang Luu, Duc Van Ha, Tuan Dung Pham, Sanya Praseuth and Dominique Laffly.
Dominique Lafly is a Professor at the University of Toulouse, France. As a geographer, he is interested in the landscape, and the links between societies and their environment. Concerned with the issue of Big Data, he promotes multidisciplinary programs to bring IT closer to environmental applied disciplines.
Table of Contents
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