Analysis of Urban Growth and Sprawl from Remote Sensing Data

Analysis of Urban Growth and Sprawl from Remote Sensing Data pdf

Author:

Basudeb Bhatta

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1002

Language:

English

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Department:

geography

No. Pages:

50

Section:

Remote Sensing

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2210177 MB

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Excellent

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79

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Basudeb Bhatta earned a PhD in engineering from Jadavpur University, Kolkata, India. He is currently the course coordinator of the Computer Aided Design Centre, Jadavpur University. He has more than 25 years of industrial, teaching, and research experience in the domains of remote sensing, GNSS, GIS, and CAD. He has published many research papers, monographs, and textbooks on remote sensing, GIS, GNSS, and CAD. Dr. Bhatta has been instrumental in initiating a large number of courses on geoinformatics, GNSS, CAD, and related fields. He is a life member of several national and international societies. Dr. Bhatta is the Fellow of Nikhil Bharat Shissha Parishad. Dr. Bhatta has been awarded with 'Outstanding Scientist Award' by the VDGOOD Professional Association (in their International Scientist Awards on Engineering, Science and Medicine 2021).

Book Description

Analysis of Urban Growth and Sprawl from Remote Sensing Data pdf by Basudeb Bhatta

"Analysis of Urban Growth and Sprawl from Remote Sensing Data" by Basudeb Bhatta is a comprehensive guide to using remote sensing data for analyzing urban growth and sprawl. The book explains the theoretical foundations of remote sensing and the technical aspects of using remote sensing data, and then shows how to use this information to analyze urban growth and sprawl.

The book is divided into two parts. The first part covers the theoretical and technical aspects of remote sensing, including the physics of remote sensing, different types of sensors, and image processing techniques. The second part focuses on the application of remote sensing data to analyze urban growth and sprawl. It includes case studies from different parts of the world, as well as practical tips and suggestions for analyzing remote sensing data.

One of the key strengths of the book is its emphasis on practical applications. The author provides detailed guidance on how to use remote sensing data to analyze urban growth and sprawl, including step-by-step instructions for data processing and analysis. The book also includes examples of different types of analysis, such as land-use change detection and urban expansion modeling, which can help readers understand the potential of remote sensing data for urban analysis.

Another strength of the book is its focus on the global perspective. The case studies presented in the book come from different parts of the world, including North America, Europe, Asia, and Africa, which provides a broad perspective on urban growth and sprawl. The author also discusses the challenges and opportunities of using remote sensing data in different regions, which can help readers understand the context of their own research.

The book is written in a clear and accessible style, making it suitable for a wide range of readers, including students, researchers, and professionals. The author provides explanations of technical terms and concepts in a way that is easy to understand, without sacrificing accuracy or rigor.

In conclusion, "Analysis of Urban Growth and Sprawl from Remote Sensing Data" is an important resource for anyone interested in using remote sensing data for urban analysis. The book provides a comprehensive guide to the theoretical and technical aspects of remote sensing, as well as practical guidance on how to use this information to analyze urban growth and sprawl. With its global perspective and clear writing style, the book is a valuable addition to the literature on remote sensing and urban analysis.

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