0

In this study, the problem of unsupervised extraction of drainage network from elevation data is addressed. A self-adaptive system and its application to the problem are described. The popularity of Geographic Information Systems and the availability of many high-resolution elevation data sets have increased many uses of elevation data. One of the more challenging and yet useful applications is...

networks on surface runoff from agricultural catchments Levavasseur F., Bailly J.S., Lagacherie P., Colin F., Rabotin M. a UMR 1221 LISAH F-34035, INRA, Montpellier, France. b UMR 1221 LISAH F-34035, AgroParisTech, Montpellier, France. c UMR TETIS F-34093, AgroParisTech, Montpellier, France. d UMR 1221 LISAH F-34035, Montpellier SupAgro, Montpellier, France. Abstract The study of runoff is a cr...

We present an algorithmic classification of drainage networks on Mars. Altogether, 368 drainage networks were computationally extracted using MOLA topographical data from various martian locations covering 16 major geological units. The classification is quantitative and objective, as it is based on a numerical description of drainage networks. Applying a clustering algorithm to our dataset, we...