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 Author: Viana, Cláudia M. (author)
Other Authors: Girão, Inês (author), Rocha, Jorge (author)
Format: article
Language:eng
Published: 2020
Subjects:
LULC change
Classification
Landsat
TWDTW
Cropland mapping
Remote sensing
Online Access:http://hdl.handle.net/10451/42795
Country:Portugal
Oai:oai:repositorio.ul.pt:10451/42795

Internet

http://hdl.handle.net/10451/42795

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