Home Noticias Principal Component Analysis applies to urban remote sensing techniques
Principal Component Analysis applies to urban remote sensing techniques
Martes, 31 de Julio de 2012 10:30

Sangines D. 1*, Turégano J.A., Del Amo A., Agurto L.

Urban areas tend to have higher temperature than the surrounding rural areas, this is the result of the progressive surface modifications include the replacement of vegetation by buildings and streets. This phenomenon is known as "Urban Heat Island" (UHI).
In this work, two UHI effect variables were analyzed: Land surface temperature (LST) and greenness, carrying out a principal components analysis (PCA) in order to identify urban patterns for the city of Zaragoza.

 

Attachments:
Download this file (POSTER_daniel_sangines_coral.jpg)POSTER_daniel_sangines_coral.jpg[ ]3914 Kb