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Machine Learning and Pan-Sharpening of Sentinel-2 Data for Land Use Mapping in Arid Regions: A Case Study in Fayoum, Egypt.

Authors :
Mahmoud, A. G.
Source :
Journal of Soil Sciences & Agricultural Engineering; Nov2021, Vol. 12 Issue 11, p717-723, 7p
Publication Year :
2021

Abstract

<i>Copyright of Journal of Soil Sciences & Agricultural Engineering is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
20903685
Volume :
12
Issue :
11
Database :
Complementary Index
Journal :
Journal of Soil Sciences & Agricultural Engineering
Publication Type :
Academic Journal
Accession number :
155504484
Full Text :
https://doi.org/10.21608/jssae.2021.205377