Analysis of Urban Growth and Sprawl from Remote Sensing Data

Analysis of Urban Growth and Sprawl from Remote Sensing Data pdf

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1004

语:

英语

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部门:

地理

页数:

50

部分:

遥感

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2210177 MB

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出色的

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巴苏德夫·巴塔 在印度加尔各答的 Jadavpur 大学获得工程学博士学位。 他目前是贾达普大学计算机辅助设计中心的课程协调员。 他在遥感、GNSS、GIS 和 CAD 领域拥有超过 25 年的工业、教学和研究经验。 他发表了许多关于遥感、GIS、GNSS 和 CAD 的研究论文、专着和教科书。 Bhatta 博士在启动大量有关地理信息学、GNSS、CAD 和相关领域的课程方面发挥了重要作用。 他是多个国家和国际协会的终身会员。 Bhatta 博士是 Nikhil Bharat Shissha Parishad 的研究员。 Bhatta 博士被 VDGOOD 专业协会授予“杰出科学家奖”(在 2021 年国际工程、科学和医学科学家奖中)。

书的描述

Analysis of Urban Growth and Sprawl from Remote Sensing Data pdf 巴苏德夫·巴塔

"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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