3. Extracting Information from Imagery
Once you've prepared your imagery, it’s time to extract information from it. Learn various analysis methods to classify your images or detect change, including supervised and unsupervised classification, computing the difference between two images, and detecting objects with deep learning. Also, learn the fundamentals of image interpretation and how to assess the accuracy of your results.
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Classify land use types in an image to find impervious surfaces.
- Level: Intermediate
- Duration: 75 Minutes
- Software: ArcGIS Pro, Spatial Analyst
- High-Level Tasks: Perform a supervised object classification. Calculate impervious surface area.
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Compute change in vegetation after a hailstorm in Alberta, Canada with the SAVI index.
- Level: Intermediate
- Duration: 30 Minutes
- Software: ArcGIS Pro or ArcGIS Online
- High-Level Tasks: Perform change analysis with the SAVI vegetation index.
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Compare imagery to calculate area change in Lake Poyang, China.
- Level: Intermediate
- Duration: 75 Minutes
- Software: ArcGIS Pro, Spatial Analyst
- High-Level Tasks: Perform an unsupervised classification and calculate the lake area over time.
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Use a multi-purpose GeoAI model with a free-form language prompt to detect boats in Copenhagen imagery.
- Level: Intermediate
- Duration: 25 Minutes
- Software: ArcGIS Pro, Image Analyst
- High-Level Tasks: Detect objects with Text SAM, and clean up false positives with a definition query.
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Use a GeoAI tool and a pretrained model to automate palm tree detection.
- Level: Intermediate
- Duration: 20 Minutes
- Software: ArcGIS Pro, Image Analyst
- High-Level Tasks: Use a pretrained model to detect palm trees, style the result layer, and examine it.
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Use transfer learning to fine-tune a deep learning pretrained model and extract building footprints in a Seattle neighborhood.
- Level: Intermediate
- Duration: 1 Hour 30 Minutes
- Software: ArcGIS Pro, Image Analyst
- High-Level Tasks:Prepare training samples, conduct transfer learning, and extract buildings.
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Use a deep learning pretrained model to extract land cover from high-resolution drone imagery.
- Level: Intermediate
- Duration: 30 Minutes
- Software: ArcGIS Pro, Image Analyst
- High-Level Tasks: Classify pixels, generate a land cover feature layer, and compute total vegetation area.
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Explore and make sense of satellite and aerial imagery.
- Level: Beginner
- Duration: 30 Minutes
- Software: ArcGIS StoryMaps
- High-Level Tasks: Learn about 7 essential cues of visual interpretation. Interpret imagery examples.
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Perform a formal assessment to determine whether a classification of pervious and impervious surfaces is reliable.
- Level: Intermediate
- Duration: 25 Minutes
- Software: ArcGIS Pro, Spatial Analyst
- High-Level Tasks: Perform a visual assessment. Create and compute a confusion matrix.