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@article{176077,
        author = {Aryan Chauhan and Shaman Singh Multani and Mohit Kumar Jha and Harsh Pathak and Aneek Anand and Ml Sharma and Sunil Kumar and Ajay Kumar Garg},
        title = {Remote Sensing and GIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6850-6860},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176077},
        abstract = {Natural resources are foundational to a nation’s socio-economic development, serving as essential sources of employment, raw materials, food, and energy. However, escalating population growth and unsustainable exploitation have led to severe resource depletion, environmental degradation, and increased socio-economic pressures. To address these issues, Remote Sensing (RS) and Geographic Information Systems (GIS) have become indispensable tools for sustainable land resource management. Recent technological advancements—such as high-resolution multispectral and microwave satellite imagery, enhanced temporal coverage, and open-access data—have significantly expanded the capabilities of RS and GIS in monitoring and managing land use, environmental health, and resource planning. GIScience provides critical frameworks for spatial modeling and analysis, while remote sensing delivers precise Earth observation data, even under adverse weather conditions. Together, these technologies support informed decision-making, efficient land planning, and predictive modeling in environmental and natural resource sciences. This paper synthesizes current research to highlight the integrated role of RS and GIS in achieving long-term sustainability goals and addresses their future directions in the era of data-intensive environmental research.},
        keywords = {Remote Sensing Satellites, Multispectral, Hyper Spectral, LiDAR, UAV Platforms},
        month = {April},
        }