A New Clustering Method to Generate Training Samples for Supervised Monitoring of Long-Term Water Surface Dynamics Using Landsat Data through Google Earth Engine

A New Clustering Method to Generate Training Samples for Supervised Monitoring of Long-Term Water Surface Dynamics Using Landsat Data through Google Earth Engine

Water resources are vital to the survival of living organisms and contribute substantially to the development of various sectors. Climatic diversity, topographic conditions, and uneven dis-tribution of surface water flows have made reservoirs one of the primary water supply resources in Iran. This s...

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Bibliographic Details
Main Authors: Dehkordi, A.T (Author), Ghaderpour, E. (Author), Ghasemi, H. (Author), Hassan, Q.K (Author), Zoej, M.J.V (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
classification
clustering
Iranian dams
k-means
long-term
random forests
reservoirs
support vector machines
water
Online Access:View Fulltext in Publisher

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