Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments

Abstract Spatiotemporal information on historical peatland drainage is needed to relate past land use to observed changes in catchment hydrology. Comprehensive knowledge of historical development of peatland management is largely unknown at the catchment scale. Aerial photos and light detection and...

Full description

Bibliographic Details
Main Authors: Bhattacharjee, J. (Joy), Marttila, H. (Hannu), Haghighi, A. T. (Ali Torabi), Saarimaa, M. (Miia), Tolvanen, A. (Anne), Lepistö, A. (Ahti), Futter, M. N. (Martyn N), Kløve, B. (Bjørn)
Format: Article in Journal/Newspaper
Language:English
Published: American Society of Civil Engineers 2021
Subjects:
Online Access:http://urn.fi/urn:nbn:fi-fe2021081743446
id ftunivoulu:oai:oulu.fi:nbnfi-fe2021081743446
record_format openpolar
spelling ftunivoulu:oai:oulu.fi:nbnfi-fe2021081743446 2023-07-30T04:05:50+02:00 Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments Bhattacharjee, J. (Joy) Marttila, H. (Hannu) Haghighi, A. T. (Ali Torabi) Saarimaa, M. (Miia) Tolvanen, A. (Anne) Lepistö, A. (Ahti) Futter, M. N. (Martyn N) Kløve, B. (Bjørn) 2021 application/pdf http://urn.fi/urn:nbn:fi-fe2021081743446 eng eng American Society of Civil Engineers info:eu-repo/semantics/openAccess © 2021 American Society of Civil Engineers. The final authenticated version is available online at https://doi.org/10.1061/(asce)ir.1943-4774.0001547. info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion 2021 ftunivoulu 2023-07-08T19:58:16Z Abstract Spatiotemporal information on historical peatland drainage is needed to relate past land use to observed changes in catchment hydrology. Comprehensive knowledge of historical development of peatland management is largely unknown at the catchment scale. Aerial photos and light detection and ranging (LIDAR) data enlarge the possibilities for identifying past peatland drainage patterns. Here, our objectives are (1) to develop techniques for semiautomatically mapping the location of ditch networks in peat-dominated catchments using aerial photos and LIDAR data, and (2) to generate time series of drainage networks. Our approaches provide open-access techniques to systematically map ditches in peat-dominated catchments through time. We focused on the algorithm in such a way that we can identify the ditch networks from raw aerial images and LIDAR data based on the modification of multiple filters and number of threshold values. Such data are needed to relate spatiotemporal drainage patterns to observed changes in many northern rivers. We demonstrate our approach using data from the Simojoki River catchment (3,160 km²) in northern Finland. The catchment is dominated by forests and peatlands that were almost all drained after 1960. For two representative locations in cultivated peatland (downstream) and peatland forest (upstream) areas of the catchment; we found total ditch length density (km/km²), estimated from aerial images and LIDAR data based on our proposed algorithm, to have varied from 2% to 50% compared with the monitored ditch length available from the National Land survey of Finland (NLSF) in 2018. A different pattern of source variation in ditch network density was observed for whole-catchment estimates and for the available drained-peatland database from Natural Resources Institute Finland (LUKE). Despite such differences, no significant differences were found using the nonparametric Mann-Whitney U test with a 0.05 significance level based on the samples of pixel-identified ditches between (1) ... Article in Journal/Newspaper Northern Finland Jultika - University of Oulu repository Luke ENVELOPE(-94.855,-94.855,56.296,56.296) Simojoki ENVELOPE(25.050,25.050,65.617,65.617)
institution Open Polar
collection Jultika - University of Oulu repository
op_collection_id ftunivoulu
language English
description Abstract Spatiotemporal information on historical peatland drainage is needed to relate past land use to observed changes in catchment hydrology. Comprehensive knowledge of historical development of peatland management is largely unknown at the catchment scale. Aerial photos and light detection and ranging (LIDAR) data enlarge the possibilities for identifying past peatland drainage patterns. Here, our objectives are (1) to develop techniques for semiautomatically mapping the location of ditch networks in peat-dominated catchments using aerial photos and LIDAR data, and (2) to generate time series of drainage networks. Our approaches provide open-access techniques to systematically map ditches in peat-dominated catchments through time. We focused on the algorithm in such a way that we can identify the ditch networks from raw aerial images and LIDAR data based on the modification of multiple filters and number of threshold values. Such data are needed to relate spatiotemporal drainage patterns to observed changes in many northern rivers. We demonstrate our approach using data from the Simojoki River catchment (3,160 km²) in northern Finland. The catchment is dominated by forests and peatlands that were almost all drained after 1960. For two representative locations in cultivated peatland (downstream) and peatland forest (upstream) areas of the catchment; we found total ditch length density (km/km²), estimated from aerial images and LIDAR data based on our proposed algorithm, to have varied from 2% to 50% compared with the monitored ditch length available from the National Land survey of Finland (NLSF) in 2018. A different pattern of source variation in ditch network density was observed for whole-catchment estimates and for the available drained-peatland database from Natural Resources Institute Finland (LUKE). Despite such differences, no significant differences were found using the nonparametric Mann-Whitney U test with a 0.05 significance level based on the samples of pixel-identified ditches between (1) ...
format Article in Journal/Newspaper
author Bhattacharjee, J. (Joy)
Marttila, H. (Hannu)
Haghighi, A. T. (Ali Torabi)
Saarimaa, M. (Miia)
Tolvanen, A. (Anne)
Lepistö, A. (Ahti)
Futter, M. N. (Martyn N)
Kløve, B. (Bjørn)
spellingShingle Bhattacharjee, J. (Joy)
Marttila, H. (Hannu)
Haghighi, A. T. (Ali Torabi)
Saarimaa, M. (Miia)
Tolvanen, A. (Anne)
Lepistö, A. (Ahti)
Futter, M. N. (Martyn N)
Kløve, B. (Bjørn)
Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
author_facet Bhattacharjee, J. (Joy)
Marttila, H. (Hannu)
Haghighi, A. T. (Ali Torabi)
Saarimaa, M. (Miia)
Tolvanen, A. (Anne)
Lepistö, A. (Ahti)
Futter, M. N. (Martyn N)
Kløve, B. (Bjørn)
author_sort Bhattacharjee, J. (Joy)
title Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
title_short Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
title_full Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
title_fullStr Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
title_full_unstemmed Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
title_sort development of aerial photos and lidar data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
publisher American Society of Civil Engineers
publishDate 2021
url http://urn.fi/urn:nbn:fi-fe2021081743446
long_lat ENVELOPE(-94.855,-94.855,56.296,56.296)
ENVELOPE(25.050,25.050,65.617,65.617)
geographic Luke
Simojoki
geographic_facet Luke
Simojoki
genre Northern Finland
genre_facet Northern Finland
op_rights info:eu-repo/semantics/openAccess
© 2021 American Society of Civil Engineers. The final authenticated version is available online at https://doi.org/10.1061/(asce)ir.1943-4774.0001547.
_version_ 1772818079313559552