Open AccessDeep Learning Classification of High-Resolution Drone Images Using the ArcGIS Pro Software
Author(s) -
Amr Abd-Elrahman,
Katie Britt,
Tao Liu
Publication year - 2021
Publication title -
edis
Language(s) - English
Resource type - Journals
ISSN - 2576-0009
DOI - 10.32473/edis-fr444-2021
Subject(s) - drone , computer science , deep learning , software , identification (biology) , field (mathematics) , high resolution , artificial intelligence , data science , remote sensing , geography , operating system , genetics , botany , mathematics , pure mathematics , biology
Deep learning classification of invasive species using widely-used ArcGIS Pro software and increasingly common drone imagery can aid in identification and management of natural areas. A step-by-step implementation, with associated data for users to access, is presented to make this technology more widely accessible to GIS analysts, researchers, and graduate students working with remotely sensed data in the natural resource field.