Mapping Drainage Ditches in Forested Landscapes Using Deep Learning and Aerial Laser Scanning

Author:

Lidberg William1ORCID,Paul Siddhartho Shekhar2ORCID,Westphal Florian3ORCID,Richter Kai Florian4ORCID,Lavesson Niklas5,Melniks Raitis6ORCID,Ivanovs Janis6ORCID,Ciesielski Mariusz7,Leinonen Antti8ORCID,Ågren Anneli M.9ORCID

Affiliation:

1. Assistant Professor, Dept. of Forest Ecology and Management, Swedish Univ. of Agricultural Sciences, Umeå 90183, Sweden (corresponding author). ORCID: .

2. Postdoctoral, Dept. of Forest Ecology and Management, Swedish Univ. of Agricultural Sciences, Umeå 90183, Sweden. ORCID:

3. Assistant Professor, Dept. of Computing, School of Engineering, Jönköping Univ., Gjuterigatan 5, Jönköping 55111, Sweden. ORCID:

4. Associate Professor, Dept. of Computing Science, Umeå Univ., Umeå 90187, Sweden. ORCID:

5. Professor, Dept. of Software Engineering, Blekinge Institute of Technology, Valhallavägen 1, Karlskrona 37142, Sweden.

6. Ph.D. Candidate, Dept. of Forest Operations and Energy, Latvian State Forest Research Institute ‘Silava,’ 111 Rigas St., Salaspils LV-2169, Latvia. ORCID:

7. Ph.D., Dept. of Geomatics, Forest Research Institute, Sękocin Stary, ul. Braci Leśnej 3, Raszyn 05-090, Poland.

8. Specialist, Finnish Forest Centre, Kauppakatu 25a, Kajaani FI-87100, Finland. ORCID:

9. Associate Professor, Dept. of Forest Ecology and Management, Swedish Univ. of Agricultural Sciences, Umeå 90183, Sweden. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Reference48 articles.

1. Ågren A. M. S. S. Paul and W. Lidberg. 2022. “Mapped drainage ditches in forested landscapes.” Mendeley Data V1. Accessed July 15 2022. https://doi.org/10.17632/zxkg43jsx8.1.

2. Nitrous oxide emissions from streams in a Swedish agricultural catchment

3. Identification of ditches and furrows using remote sensing: application to sediment modelling in the Tana watershed, Kenya

4. Agrarian landscapes linear features detection from LiDAR: application to artificial drainage networks

5. A spatial stochastic algorithm to reconstruct artificial drainage networks from incomplete network delineations;Bailly J. S.;Int. J. Appl. Earth Obs. Geoinf.,2011

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