Geospatial Analytics in AWS Cloud Using AWS SageMaker

Venkat Soma

Abstract: This paper will notably explore the implementation of geospatial analytics in AWS utilizing Amazon Sagemaker, showing its transformative effects on different industries. PageMaker's capabilities effectively enable the effective development, deployment, and training of machine learning models along with geospatial data through addressing conventional data management challenges. The key characteristics involve earth observation jobs, vector enrichment jobs, and map visualization that increase decision - making and insights. It had several numbers for applications involving climate monitoring, agriculture, disaster management beside urban development.

Keywords: Amazon SageMaker, Amazon Sagemaker Studio Classic, earth observation jobs, vector enrichment jobs, and map visualization

How to Cite?: Venkat Soma, "Geospatial Analytics in AWS Cloud Using AWS SageMaker", Volume 13 Issue 8, August 2024, International Journal of Science and Research (IJSR), Pages: 1739-1744, https://www.ijsr.net/getabstract.php?paperid=SR24819220130, DOI: https://dx.doi.org/10.21275/SR24819220130