Sub-Pixel Classification of MODIS EVI for Annual Mappings of Impervious Surface Areas

Regular monitoring of expanding impervious surfaces areas (ISAs) in urban areas is highly desirable. MODIS data can meet this demand in terms of frequent observations but are lacking in spatial detail, leading to the mixed land cover problem when per-pixel classifications are applied. To overcome th...

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Bibliographic Details
Main Authors: Narumasa Tsutsumida, Alexis Comber, Kirsten Barrett, Izuru Saizen, Ernan Rustiadi
Format: Article
Language:English
Published: MDPI AG 2016-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/8/2/143