Description

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The book "Remote sensing big data framework" by K.R. Sivabalan explores the use of remote sensing and big data techniques for environmental classification. The author provides a comprehensive overview of the different aspects of remote sensing and big data processing techniques, including data acquisition, processing, analysis, and interpretation.
The book emphasizes the importance of accurate environmental classification, which is crucial for sustainable development and natural resource management. With the increasing availability of remote sensing data and big data processing tools, there is a growing demand for skilled professionals who can effectively manage and analyze such data.
The author presents a framework for remote sensing big data analysis that can be applied to a wide range of environmental classification problems. The book also includes case studies that demonstrate the practical application of the framework, covering topics such as land cover classification, vegetation monitoring, and water quality assessment.
This book is an essential resource for students, researchers, and professionals in the fields of remote sensing, environmental science, and data science. It provides a comprehensive overview of the latest techniques and technologies in remote sensing and big data processing, and offers practical guidance on their application for environmental classification