Statewide Tree Canopy Extraction from NAIP
Tree canopy information plays a crucial role in understanding the geographic location and distribution of natural resources. High - detail tree canopy cover data at a parcel level can be difficult to achieve, especially using only satellite imagery over large areas. Because tree canopy calculations cover a large geographic area, obtaining timely, high - resolution imagery can be expensive and difficult.
To address this issue, the state of North Carolina Department of Agriculture and Consumer Services decided to cut costs by repurposing their existing 2016 National Agriculture Imagery Program (NAIP) imagery to extract tree canopy cover for the entire state. IMAGINE Spatial Modeler in ERDAS IMAGINE ® was used to process the NAIP tiles and generate statewide tree canopy cover data. By using the Spatial Modeler , it was possible to customize and streamline the required steps in a sequence of batch processes to save time and keep project costs down.
Since the late 1970s , ERDAS IMAGINE from Hexagon Geospatial has been the flagship product for remote sensing and image analysis projects. The world’s most widely - used remote sensing software, ERDAS IMAGINE processes satellite imagery , orthoimagery, UAS imagery , and even point cloud data. It contains a vast collection of processing tools and functions that have come to define the industry standard . The Spatial Modeler is the desktop drag - and - drop interface for creating and customizing processes , including building repeatable processes which can be executed in batch jobs and extended to cloud environments .
Learn more about the solution by downloading the case study.