Learning to Find Hydrological Corrections-Reference-Cited by-同舟云学术

Learning to Find Hydrological Corrections

Published:2019-11-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Arge Lars¹,Grønlund Allan¹,Svendsen Svend Christian¹,Tranberg Jonas¹

Affiliation:

1. Aarhus University, Aarhus N, Denmark

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3347146.3359095

Reference14 articles.

1. Lars Arge Allan Grønlund Svend Christian Svendsen and Jonas Tranberg. Learning to Find Hydrological Corrections. arXiv e-prints Sep 2019. Lars Arge Allan Grønlund Svend Christian Svendsen and Jonas Tranberg. Learning to Find Hydrological Corrections. arXiv e-prints Sep 2019.

2. Bridge detection in grid terrains and improved drainage enforcement

3. John F. O'Callaghan and David Mark. The extraction of drainage networks from digital elevation data. Computer Vision Graphics and Image Processing 27:323--344 08 1984. John F. O'Callaghan and David Mark. The extraction of drainage networks from digital elevation data. Computer Vision Graphics and Image Processing 27:323--344 08 1984.

4. The Danish Agency for Data Supply and Efficiency. Geodanmark nu. hydrological corrections - http://geodanmark.nu/spec6/html5/dk/starther.htm. The Danish Agency for Data Supply and Efficiency. Geodanmark nu. hydrological corrections - http://geodanmark.nu/spec6/html5/dk/starther.htm.

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1. Downscaling Satellite and Reanalysis Precipitation Products Using Attention-Based Deep Convolutional Neural Nets;Frontiers in Water;2020-11-26

2. Learning to Find Hydrological Corrections;Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2019-11-05