A Simplified Framework for High-Resolution Urban Vegetation Classification with Optical Imagery in the Los Angeles Megacity

A Simplified Framework for High-Resolution Urban Vegetation Classification with Optical Imagery in the Los Angeles Megacity

High spatial resolution maps of Los Angeles, California are needed to capture the heterogeneity of urban land cover while spanning the regional domain used in carbon and water cycle models. We present a simplified framework for developing a high spatial resolution map of urban vegetation cover in th...

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Bibliographic Details
Main Authors: Red Willow Coleman, Natasha Stavros, Vineet Yadav, Nicholas Parazoo
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
remote sensing
urban land cover
Sentinel-2
NAIP
Google Earth Engine
land cover land use change (LCLUC)
Online Access:https://www.mdpi.com/2072-4292/12/15/2399

Internet

https://www.mdpi.com/2072-4292/12/15/2399

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