Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region

Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region

The increasing availability and volume of remote sensing data, such as Landsat satellite images, have allowed the multidimensional analysis of land use/land cover (LULC) changes. However, the performance of image classification is highly dependent on the quality and quantity of the training set and...

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Bibliographic Details
Main Authors: Cláudia M. Viana, Inês Girão, Jorge Rocha
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
LULC change
classification
Landsat
TWDTW
cropland mapping
remote sensing
Online Access:https://www.mdpi.com/2072-4292/11/9/1104

Internet

https://www.mdpi.com/2072-4292/11/9/1104

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