Geospatial @ UCLA's new specialization in Remote Sensing and Image Analysis teaches participants how to apply GIS image analysis techniques to data retrieved using remote sensors, including satellite and aerial imaging platforms. Remote sensing and image analysis methods are useful for anyone working in the fields of environmental science, agriculture, defense, urban planning, natural resource management, extractive industries, and forestry, among many others.
Geospatial @ UCLA and UCLA Extension’s specialization in remote sensing and image analysis complements its existing certificate program in GIS and geospatial technology with a sequence of two courses that more completely introduce core concepts and techniques related to the analysis and visualization of imagery collected by satellite and aerial remote sensing platforms. Applications of remote sensing and Earth observation are myriad and diverse. While analysis of remote sensing data is particularly common in fields associated with Earth science, commercial, defense, and a wide range of public and private sector applications are becoming increasingly popular considering the proliferation of satellites collecting imagery and data about Earth. The two courses included in this specialization ensure that students understand how remote sensing data is collected, what and how much data is collected and available to the public, and most importantly, how these large datasets can be used to better understand environmental and human processes. Students will learn how to retrieve, process, and analyze remote sensing data and create GIS maps and related visualizations of results. Additionally, students who complete the advanced course in this specialization will learn techniques for developing multi-step image analysis processes and models. No prior experience with remote sensing is required, but basic familiarity with GIS analysis and mapping techniques is assumed.
Participants who complete the Remote Sensing Specialization will learn:
- Image processing and analysis with the ArcGIS software platform as well as free (and free to use) tools including QGIS and Google Earth Engine;
- Applications of remote sensing and image processing techniques using satellite and aerial image sources available to the public;
- Classification, change detection, vegetation detection, hydrology, photogrammetry, and more.