@article {10.3844/jcssp.2025.2029.2048,
article_type = {journal},
title = {Exploring Applications, Datasets, Algorithms, and Technologies in Satellite Image Processing},
author = {TV, Bijeesh and BJ, Bejoy and Thiruthuvanthan, Michael Moses and G, Raju},
volume = {21},
number = {9},
year = {2025},
month = {Oct},
pages = {2029-2048},
doi = {10.3844/jcssp.2025.2029.2048},
url = {https://thescipub.com/abstract/jcssp.2025.2029.2048},
abstract = {Amidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster management. It highlights the unique perspective that satellite data offers. Various sources for data acquisition, the applications that are suitable for a chosen satellite data and commonly used algorithms and techniques are discussed. Through case studies, the paper demonstrates how quick and reliable data provided by satellites can be used to solve complex real-world problems. The benefits of satellite data are emphasized, including its affordability, ability to monitor in real-time, and ability to support sustainable behaviours and policy-making. The study explores cutting-edge technologies, highlighting cloud computing and GIS integration as well as machine learning algorithms to build robust solutions using satellite data. The immense potential of satellite data is accompanied by challenges, including data integration, computational complexity, and ethical considerations. These challenges underscore the need for standardization and continuous efforts to fully realize the potential of satellite data in sustainable development and informed decision-making.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}