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ArcGIS Pro - Thermal Imagery - Sept. 30th, 2025
Overview
This Doak Burn flight was conducted on September 19th, 2019 and was capturing thermal imagery of a controlled burn. Leaning these light wavelengths (Fig. #1) was really helpful in the understanding of how to interpret the information displayed post processing. Some of the other processed imagery displays the importance of each band and what kind of effect it has visually when reduced or intensified. Attached below are thermal imagery with detailed descriptions characterizing the images and will come in handy for application in the future. This can be future internships, jobs, or even classes that involve different levels of thermal scanning.
Fig. #1: Micasense RedEdge Peak Band Reflectance
Blue: 480nm
Green: 555nm
Red: 660nm
Red Edge: 720nm
NIR: 835nm
Fig. #2: LWIR Band
Brightest reflectance would be the paths with bare dirt. Lowest reflectance would be trees and the denser they are the darker they appear. Some features that jump out are maybe some shadows from trees. Band sensing identifying a specific band of color and homing in on that specific one. This differs from NIR because it’s more specific in what it’s trying to identify.
Fig. #2: LWIR Band
Fig. #3: Red Band
Brightest reflectance would be bare soil on paths and in fields that have very little ground cover. Lowest reflectance would be trees and the dense patches of vegetation. Some features that jump out are
definitely the paths and the outlines fields with patches that are splotchy.
Fig. #3: Red Band
Fig. #4: LWIR Band
Brightest reflectance would be the fields that were burned and they show up very prevalent. Lowest reflectance would be trees and short brush that are healthy and don’t have that rush of immediate thermal radiation. Some features that jump out are definitely the fields because everything else is pretty much black.
Fig. #4: LWIR Band
Fig. #5: False IR Band & NDVI Band
The shows the post burn effects of the human impact on these fields resulting from a controlled burn. As depicted from the imagery, green indicates burned fields, yellow shows standing plants, and red displays healthy plants. Understanding the identity of the colors assists in the deeper understanding of how to conclude the effects on a specific event.
Fig. #5: False IR Band & NDVI Band
Fig. #6: False IR Band & NDVI Band
The shows the preburn effects of the human impact on these fields resulting from a controlled burn. As depicted from the imagery, green indicates dead plants, yellow shows standing plants, and red displays healthy plants. As explained previously, understanding the identity of the colors assists in the deeper understanding of how to conclude the effects on a specific event.
Fig. #6: False IR Band & NDVI Band
Fig. #7: False IR Band with adjusted band designations
This is a post burn analysis of the same area but with adjusted band designations. This changes the visible bands that display different characteristics to hopefully allow for future comprehension of the scan. As shown, the red band shows dead plants and bare soil show up most prevalently, green shows healthy plants with lots of leaves, and then blue is fields and some outlines of paths. This was a fun experiment to change the bands to adjust the visual display of the data, and this will be very beneficial in the future for future research.
Fig. #7: False IR Band with adjusted band designations
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