Efficient Priority-Flood depression filling in raster digital elevation models

Efficient Priority-Flood depression filling in raster digital elevation models

Depressions in raster digital elevation models (DEM) present a challenge for extracting hydrological networks. They are commonly filled before subsequent algorithms are further applied. Among existing algorithms for filling depressions, the Priority-Flood algorithm runs the fastest. In this study, w...

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Bibliographic Details
Main Authors: Hongqiang Wei, Guiyun Zhou, Suhua Fu
Format: Article
Language:English
Published: Taylor & Francis Group 2019-04-01
Series:International Journal of Digital Earth
Subjects:
depression filling
dem
drainage network
Online Access:http://dx.doi.org/10.1080/17538947.2018.1429503

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