The first generation of a regional-scale 1-m forest canopy cover dataset using machine learning and google earth engine cloud computing platform: A case study of Arkansas, USA

The first generation of a regional-scale 1-m forest canopy cover dataset using machine learning and google earth engine cloud computing platform: A case study of Arkansas, USA

Forest canopy cover (FCC) is essential in forest assessment and management, affecting ecosystem services such as carbon sequestration, wildlife habitat, and water regulation. Ongoing advancements in techniques for accurately and efficiently mapping and extracting FCC information require a thorough e...

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Bibliographic Details
Main Author: Hamdi A. Zurqani
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Remote sensing
Geospatial analysis
Cloud-based approach
Supervised classification
Random forest classifier
NAIP imagery
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923010168

Internet

http://www.sciencedirect.com/science/article/pii/S2352340923010168

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