Welcome to the 2026 GIS in Action Annual Conference hosted by the Oregon & SW Washington Chapter of the Geospatial Professional Network & Cascadia ASPRS.
In remotely sensed imagery, both shadows and unhealthy/dead vegetation contain low values in near-infrared band pixels. As NDVI and NDRE analyses rely heavily on NIR values, false positives for unhealthy vegetation are often the result of shadows.
By converting RGB raster data to invariant color spaces and leveraging this with NIR data by way of logarithmic calculations, a processing mask can be created to avoid shadows when analyzing imagery.
A StoryMap on this project can be found here: https://storymaps.arcgis.com/stories/cbaad398d6be4bd08057c1cf57ff6e0e
