Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments
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 (...
Published in: | Journal of Irrigation and Drainage Engineering |
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Language: | English |
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American Society of Civil Engineers
2021
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Online Access: | http://hdl.handle.net/10138/337075 https://doi.org/10.1061/(asce)ir.1943-4774.0001547 |
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/337075 2023-08-20T04:08:44+02:00 Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments Bhattacharjee, Joy Marttila, Hannu Haghighi, Ali Torabi Saarimaa, Miia Tolvanen, Anne Lepistö, Ahti Futter, Martyn N. Kløve, Bjørn 2021-12-03T09:59:46Z application/pdf http://hdl.handle.net/10138/337075 https://doi.org/10.1061/(asce)ir.1943-4774.0001547 eng eng American Society of Civil Engineers Journal of Irrigation and Drainage Engineering 147(4): 04021006 0733-9437 Bhattacharjee, J., Marttila, H., Haghighi, A. T., Saarimaa, M., Tolvanen, A., Lepistö, A., Futter, M. N., & Kløve, B. (2021). Development of Aerial Photos and LIDAR Data Approaches to Map Spatial and Temporal Evolution of Ditch Networks in Peat-Dominated Catchments. Journal of Irrigation and Drainage Engineering, 147(4), 04021006. https://doi.org/10.1061/(asce)ir.1943-4774.0001547 https://doi.org/10.1061/(asce)ir.1943-4774.0001547 Suomen ympäristökeskus http://hdl.handle.net/10138/337075 In Copyright 1.0 forests mapping rivers and streams spatial data hydrologic data catchments algorithms sensors and sensing aerial images ditch length density drainage forestry LIDAR light detection and ranging peatlands data spatial ditch networks peat-dominated peat-dominated catchments Finland 218 Environmental engineering 1172 Environmental sciences 1171 Geosciences aikasarjat hydrologia ilmakuvat kaukokartoitus kuivatus menetelmät metsänhoito ojat ojitus sijainti suot turvemaat valuma-alueet tapaustutkimus Suomi Simojoki Article 2021 ftunivhelsihelda https://doi.org/10.1061/(asce)ir.1943-4774.0001547 2023-07-28T06:15:40Z 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) aerial images ... Article in Journal/Newspaper Northern Finland Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto Luke ENVELOPE(-94.855,-94.855,56.296,56.296) Simojoki ENVELOPE(25.050,25.050,65.617,65.617) Journal of Irrigation and Drainage Engineering 147 4 04021006 |
institution |
Open Polar |
collection |
Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
forests mapping rivers and streams spatial data hydrologic data catchments algorithms sensors and sensing aerial images ditch length density drainage forestry LIDAR light detection and ranging peatlands data spatial ditch networks peat-dominated peat-dominated catchments Finland 218 Environmental engineering 1172 Environmental sciences 1171 Geosciences aikasarjat hydrologia ilmakuvat kaukokartoitus kuivatus menetelmät metsänhoito ojat ojitus sijainti suot turvemaat valuma-alueet tapaustutkimus Suomi Simojoki |
spellingShingle |
forests mapping rivers and streams spatial data hydrologic data catchments algorithms sensors and sensing aerial images ditch length density drainage forestry LIDAR light detection and ranging peatlands data spatial ditch networks peat-dominated peat-dominated catchments Finland 218 Environmental engineering 1172 Environmental sciences 1171 Geosciences aikasarjat hydrologia ilmakuvat kaukokartoitus kuivatus menetelmät metsänhoito ojat ojitus sijainti suot turvemaat valuma-alueet tapaustutkimus Suomi Simojoki Bhattacharjee, Joy Marttila, Hannu Haghighi, Ali Torabi Saarimaa, Miia Tolvanen, Anne Lepistö, Ahti Futter, Martyn N. Kløve, Bjørn Development of aerial photos and LIDAR data approaches to map spatial and temporal evolution of ditch networks in peat-dominated catchments |
topic_facet |
forests mapping rivers and streams spatial data hydrologic data catchments algorithms sensors and sensing aerial images ditch length density drainage forestry LIDAR light detection and ranging peatlands data spatial ditch networks peat-dominated peat-dominated catchments Finland 218 Environmental engineering 1172 Environmental sciences 1171 Geosciences aikasarjat hydrologia ilmakuvat kaukokartoitus kuivatus menetelmät metsänhoito ojat ojitus sijainti suot turvemaat valuma-alueet tapaustutkimus Suomi Simojoki |
description |
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) aerial images ... |
format |
Article in Journal/Newspaper |
author |
Bhattacharjee, Joy Marttila, Hannu Haghighi, Ali Torabi Saarimaa, Miia Tolvanen, Anne Lepistö, Ahti Futter, Martyn N. Kløve, Bjørn |
author_facet |
Bhattacharjee, Joy Marttila, Hannu Haghighi, Ali Torabi Saarimaa, Miia Tolvanen, Anne Lepistö, Ahti Futter, Martyn N. Kløve, Bjørn |
author_sort |
Bhattacharjee, 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://hdl.handle.net/10138/337075 https://doi.org/10.1061/(asce)ir.1943-4774.0001547 |
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_relation |
Journal of Irrigation and Drainage Engineering 147(4): 04021006 0733-9437 Bhattacharjee, J., Marttila, H., Haghighi, A. T., Saarimaa, M., Tolvanen, A., Lepistö, A., Futter, M. N., & Kløve, B. (2021). Development of Aerial Photos and LIDAR Data Approaches to Map Spatial and Temporal Evolution of Ditch Networks in Peat-Dominated Catchments. Journal of Irrigation and Drainage Engineering, 147(4), 04021006. https://doi.org/10.1061/(asce)ir.1943-4774.0001547 https://doi.org/10.1061/(asce)ir.1943-4774.0001547 Suomen ympäristökeskus http://hdl.handle.net/10138/337075 |
op_rights |
In Copyright 1.0 |
op_doi |
https://doi.org/10.1061/(asce)ir.1943-4774.0001547 |
container_title |
Journal of Irrigation and Drainage Engineering |
container_volume |
147 |
container_issue |
4 |
container_start_page |
04021006 |
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1774721196528500736 |