Assessing the Accuracy and Potential for Improvement of the National Land Cover Database’s Tree Canopy Cover Dataset in Urban Areas of the Conterminous United States

Assessing the Accuracy and Potential for Improvement of the National Land Cover Database’s Tree Canopy Cover Dataset in Urban Areas of the Conterminous United States

The National Land Cover Database (NLCD) provides time-series data characterizing the land surface for the United States, including land cover and tree canopy cover (NLCD-TC). NLCD-TC was first published for 2001, followed by versions for 2011 (released in 2016) and 2011 and 2016 (released in 2019)....

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Bibliographic Details
Main Authors: Mehdi Pourpeikari Heris, Kenneth J. Bagstad, Austin R. Troy, Jarlath P. M. O’Neil-Dunne
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
urban tree canopy
national land cover database
tree cover bias correction
accuracy assessment
urban density
tree cover
Online Access:https://www.mdpi.com/2072-4292/14/5/1219

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