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Week 10 Arc Pro
Introduction
Lab introduced ArcGIS Pro and showed how multiband UAS imagery can be used for analysis. Using a provided dataset from a field in Crown Point, Indiana, I learned how to load imagery into ArcGIS Pro, review dataset metadata, and explore different raster products. I compared individual spectral bands, multiband composites, and vegetation indices to see how surface features look different across each map product—especially vegetation, roads, and burned areas in imagery collected before and after a burn. Overall, this lab helped me understand how ArcGIS Pro supports UAS work by turning drone imagery into useful geospatial data for mapping, data management, and surface analysis. The main objectives were to (1) learn and apply basic ArcGIS Pro functions, (2) recognize and compare the value of multiband imagery, and (3) practice using spectral bands and imagery tools to identify objects and support real-world UAS applications.
Blue - 65504
Green - 65504
Red – 65504
Red Edge - 65454
NIR - 65377
LWIR Thermal – 31602
LWIR – 30762
I explored multiband composite rasters. I used both true-color and false-color composites to compare the area before and after the burn, and I used the Swipe tool to clearly see what changed between the two datasets. After that, I examined vegetation indices using NDVI layers, which showed the difference between healthy vegetation and burned areas more clearly than viewing a single band. Finally, I created a custom band combination by assigning different spectral bands to the RGB channels to better highlight vegetation and surface features. This custom map made it easier to distinguish fields, tree cover, and man-made features.
Lab provided detailed, hands-on experience using ArcGIS Pro to analyze multiband UAS imagery and showed that different map products can reveal different information about the exact same location. I learned how to bring a multiband dataset into ArcGIS Pro, review metadata to understand how and when the imagery was collected, and confirm what each raster file represented before starting analysis. From there, I compared individual spectral bands to see how reflectance changes across features like vegetation, bare soil, roads, and burned areas—features that can look very different depending on which band is displayed. I then worked with multiband composite rasters, using true-color composites to create a realistic reference view and false-color composites to make vegetation and burn severity easier to interpret. The Swipe tool was especially useful for directly comparing pre-burn and post-burn datasets, because it allowed me to visually track exactly where changes occurred across the field. After that, I examined NDVI vegetation index layers, which clearly separated healthy vegetation from stressed or burned areas in a way that single-band images could not. Finally, creating a custom band combination helped me intentionally highlight specific surface features, making it easier to distinguish crop fields, tree cover, and man-made elements. By the end of the lab, I understood how ArcGIS Pro supports UAS operations by turning raw multiband imagery into meaningful geospatial products that can improve interpretation, support mapping decisions, and strengthen analysis for real-world applications.
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