Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature

Title
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature
Authors
Keywords
LandSat, Land surface temperature, Urban canyon, Geospatial machine learning, Convolutional neural network, Spatial random forest
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 247, Issue -, Pages 111861
Publisher
Elsevier BV
Online
2020-06-05
DOI
10.1016/j.rse.2020.111861

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started