Data Use

Landsat data have become an invaluable resource for understanding and monitoring the Earth and its natural resources. The long temporal record, global coverage, free and open access, and versatile applications make Landsat data an ideal tool for learning and advancing remote sensing skills and studying global and regional trends and patterns. There are numerous educational resources for learners of all ages and experience levels. The resources listed below are a subset of training courses, tutorials, webinars, and software programs that can assist users in learning how to download, process, and analyze Landsat data.


The NASA Applied Remote Sensing Training (ARSET) Program offers free self-paced training modules, live webinars, and in-person courses for beginner, intermediate, and advanced practitioners. The program empowers the global community through remote sensing education and assists applied science professionals and policymakers in using Earth observation data to support management and decision-making. Training courses cover a range of web portals, analysis tools, topics, and data, including Landsat.

NASA Earthdata Webinars and Tutorials

NASA Earthdata is a gateway to one of the largest repositories of Earth observation data. It provides full and open access to scientists, educators, students, and the public with a wealth of data, tools, and information to aid in the understanding of Earth’s processes. NASA Earthdata offers webinars and tutorials that are designed to assist the diverse end-user community in learning more about NASA datasets and their applications.

NASA Landsat and Remote Sensing Tutorials

Thumbnail Landsat image of Zambezi River Delta

The NASA Landsat Communications and Public Engagement Team and NASA Earth Observatory, an online platform for image-driven stories about Earth Systems, have created some introductory Landsat and remote sensing tutorials. These tutorials are designed to provide an understanding of satellite data in an engaging way and inspire a range of audiences and learners to create and interpret stunning Landsat images.

AmericaView Resources

AmericaView is a nationwide, university-based, and state-implemented network that advances Earth observation education through remote sensing science, applied research, workforce development, technology transfer, and community outreach. AmericaView and its StateView members offer educational and research resources designed empower individuals and organizations in the fields of remote sensing and Earth observation. The following StateView members have developed Landsat-related educational content.

Cloud Computing Resources

Landsat Collection 2 data can be accessed from Google Earth Engine and Amazon Web Services (AWS). Cloud storage and computing platforms enable Landsat data to be stored, managed, and analyzed in a cost-effective, accessible, and scalable manner. These services also provide access to powerful computing resources, task automation, and innovative capabilities. There are several introductory and advanced resources for learning how to process and analyze Landsat data in these cloud computing platforms.

Open Source Software Programs & Resources

Open-source GIS and remote sensing software programs are a valuable resource for geospatial students and professionals. They offer a wide range of features and functionality that are generally comparable to proprietary software programs. The source code is openly available to users, which fosters innovation, promotes collaboration, and allows customization. The open-source GIS and remote sensing software programs and packages listed below are a select few. 

Commercial Software Programs & Resources

Commercial GIS and remote sensing software programs offer a wide range of features and functionalities for working with geospatial data. They offer some advantages over open-source software, such as access to technical support, established training programs, powerful tools, and tested algorithms. Commercial software programs are also often designed with a user-friendly interface and can be easier to use than open-source programs.

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