Overview

Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data. Tailored to meet the discerning needs of scholars, researchers, and professionals, this book represents an invaluable resource. It offers a comprehensive reference for those aiming to enhance their proficiency in spatial analysis and computer programming, thus encouraging innovation and progress in this dynamic field. For educators and students aspiring to excel in the use of spatial technology and Python programming, this book serves as a catalyst for advancement, contributing to the solution of effectively meeting the increasing demand for precise geographical data and its diverse applications. Geospatial Application Development Using Python Programming is the needed transformative response to a critical academic challenge.

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Mohammad Gouse Galety has worked in CS. His current position is CS professor at Samarkand International University of Technology in Uzbekistan. He has two Ph. D.s in web mining and CS image processing and two master's degrees in computing. First, I have a master's in computer applications and then computer science. In computer and information science, he studies web mining, IoT, and AI. Four patents, five books, and 50 Springer and Scopus-indexed journal publications and international conference proceedings are his (co)authorship. IEEE and ACM Fellow. He has worked in various organizations, including Sree Vidyanikethan Degree College, Emeralds Degree College, Brindavan College of Engineering, Kuwait Educational Centre, Ambo University, Debre Berhan University, Lebanese French University, Iraq, and Catholic University in Erbil, Iraq, since 1999. UG and PG students take computer science and engineering courses. Arul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy degree from Bharathidasan University, India 2017. Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, evidenced by his portfolio of scholarly works. He has authored 32 international publications indexed in Scopus and 03 international publications and has delivered 34 conference presentations. Additionally, he has edited and published two books with IGI Global Publisher, USA. In addition to his academic pursuits, Dr. Arul is a prolific innovator, holding 17 patents in India and 01 granted patent in the United Kingdom across diverse domains, including communication and computer science. He demonstrates proficiency in Networking and Cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He maintains a sincere interest in GenAI for Cybersecurity. Tesfaye Fufa Gedefa holds a Bachelor's Degree in Information Technology from Jima University (2012) and a Master of Science in Software Engineering from Adama Science and Technology University, transitioned from lecturing at Debre Berhan University to his current role as an Associate Researcher II at the Space Science and Geospatial Institute. His research journey encompasses diverse fields such as artificial intelligence, network security, cloud computing, big data, image processing, data science, and disaster management. With a keen interest in extending his expertise, Tesfaye plans to delve into new sensor development and calibration, big data analytics, data assimilation, and integration, alongside image fusion techniques for urban climate monitoring, disaster risk reduction, and food security. He is committed to applying space technology across multidisciplinary domains, leveraging Python programming to amplify the impact of his research endeavors. Through international collaborations and a dedication to advancing knowledge, Tesfaye aims to make meaningful contributions at the intersection of technology and societal challenges. Tsegaye Demsis Lemma is a current Ph.D. candidate in Remote Sensing at the Department of Remote Sensing Research and Development, Entoto Observatory and Research Center, Ethiopian Space Science and Technology Institute (ESSTI), affiliated with Addis Ababa University. He previously served as an associate researcher and satellite control engineer in the satellite research, development, and operation directorate of ESSTI. He is extremely motivated and friendly, passionate about aerospace and remote sensing. His current work deals with Earth Observation for drought and flood forecasting in the Awash Basin, Ethiopia. Mr. Tsegaye has good personal skills in social, individual, and teamwork. He participates in satellite-driven products for disaster risk reduction, urban climate, and agriculture. He is a hard worker who struggles with challenges caused by new ideas. He performs well in a given task and has very good academic achievements. He plans to extend his research work (new sensor development and calibration, Big data, data assimilation, and integration(optical and SAR) and image fusion for vegetation mapping, urban climate monitoring, change detection and disaster risk reduction, and food security).

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