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Image analysis is the extraction of meaningful information from an image to accomplish a simple task like understanding the landscape or to solve a complex problem like face recognition.
This course is focused on image analysis and applications in the area of natural resource management, geography, geology, and environmental studies. Participants will use a variety of remotely sensed data including high resolution aerial photo, Landsat and Terra MODIS satellite data to solve specific problems.
Learners in this course will learn fundamentals of remote sensing, image processing and image analysis. Learn image analysis in Esri ArcGIS Pro through hands-on exercises including image display, image interpretation, change detection using spectral indices, supervised and unsupervised image classification for land cover mapping, and effect of arctic warming on vegetation productivity.
The course features lessons covering GIS image analysis applications on real-world problems.
Verified track learners will receive one-year ArcGIS Pro Desktop (Windows) license with support only for tools used in the course in addition to unlimited course access and a verified certificate.
Sign up for this online course or full GIS Essentials certificate today to expand your skillset in geographic information systems.
GIS1x: Geographic Information System (GIS) Foundations is highly recommended and precedes this course in the edX GIS Professional Certificate.
Windows OS is required to run ArcGIS Pro software.
Week 1: Introduction to Remote Sensing and Image Analysis
Week 2: Introduction to ArcGIS Pro, Spectral Indices and Image Interpretation
Week 3: Image Classification
Week 4: Image Analysis Applications
I have audited all three courses and they are awesome. Though I had no knowledge in GIS before Auditing these courses, I feel confident taking a certificate in GIS. –Audit track learner
Great course that's gives you a hand on image analysis using ArcGIS Pro. The quiz and challenges quite useful as well. I highly recommend. –Ayman, audit track learner
Material is presented nicely. Practice exercises and quizzes really helped with the learning process. Data is easy to access. –Verified track learner
Associate Professor • College of Natural Science and Mathematics, University of Alaska Fairbanks
Postdoctoral Researcher • Institute of Agriculture, Natural Resources and Extension, University of Alaska Fairbanks
Geospatial Data Analyst • Geographic Information Network of Alaska (GINA)