A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia

Water management in lowland areas usually aims to keep water tables within a narrow range to avoid flooding and drought conditions. A common water management target parameter is the depth of the canal water table below the surrounding soil surface. We demonstrated a method that rapidly determines ca...

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Main Authors: Ronald Vernimmen, Aljosja Hooijer, Dedi Mulyadi, Iwan Setiawan, Maarten Pronk, Angga T. Yuherdha
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/5/1486
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author Ronald Vernimmen
Aljosja Hooijer
Dedi Mulyadi
Iwan Setiawan
Maarten Pronk
Angga T. Yuherdha
author_facet Ronald Vernimmen
Aljosja Hooijer
Dedi Mulyadi
Iwan Setiawan
Maarten Pronk
Angga T. Yuherdha
author_sort Ronald Vernimmen
collection DOAJ
description Water management in lowland areas usually aims to keep water tables within a narrow range to avoid flooding and drought conditions. A common water management target parameter is the depth of the canal water table below the surrounding soil surface. We demonstrated a method that rapidly determines canal water table depth (CWD) from airborne LiDAR data. The water table elevation was measured as the minimum value determined in a grid of 100 m × 100 m applied to a 1 m × 1 m digital terrain model (DTM), and the soil surface was calculated as the median value of values in each grid cell. Results for areas in eastern Sumatra and West Kalimantan, Indonesia, were validated against 145 field measurements at the time of LiDAR data collection. LiDAR-derived CWD was found to be accurate within 0.25 m and 0.5 m for 86% and 99% of field measurements, respectively, with an R<sup>2</sup> value of 0.74. We demonstrated the method for CWD conditions in a drained peatland area in Central Kalimantan, where we found CWD in the dry season of 2011 to be generally below −1.5 and often below −2.5 m indicating severely overdrained conditions. We concluded that airborne LiDAR can provide an efficient and rapid mapping tool of CWD at the time of LiDAR data collection, which can be cost-effective especially where LiDAR data or derived DTMs are already available. The method can be applied to any LiDAR-based DTM that represents a flat landscape that has open water bodies.
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spelling doaj.art-e3dc58183796408eb2a1061e0be7581d2023-11-20T01:25:46ZengMDPI AGWater2073-44412020-05-01125148610.3390/w12051486A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in IndonesiaRonald Vernimmen0Aljosja Hooijer1Dedi Mulyadi2Iwan Setiawan3Maarten Pronk4Angga T. Yuherdha5Deltares, P.O. Box 177, 2600 MH Delft, The NetherlandsDeltares, P.O. Box 177, 2600 MH Delft, The NetherlandsDeltares, P.O. Box 177, 2600 MH Delft, The NetherlandsAsia Pulp and Paper Group, Sinar Mas Land Plaza, Jakarta 10350, IndonesiaDeltares, P.O. Box 177, 2600 MH Delft, The NetherlandsDeltares, P.O. Box 177, 2600 MH Delft, The NetherlandsWater management in lowland areas usually aims to keep water tables within a narrow range to avoid flooding and drought conditions. A common water management target parameter is the depth of the canal water table below the surrounding soil surface. We demonstrated a method that rapidly determines canal water table depth (CWD) from airborne LiDAR data. The water table elevation was measured as the minimum value determined in a grid of 100 m × 100 m applied to a 1 m × 1 m digital terrain model (DTM), and the soil surface was calculated as the median value of values in each grid cell. Results for areas in eastern Sumatra and West Kalimantan, Indonesia, were validated against 145 field measurements at the time of LiDAR data collection. LiDAR-derived CWD was found to be accurate within 0.25 m and 0.5 m for 86% and 99% of field measurements, respectively, with an R<sup>2</sup> value of 0.74. We demonstrated the method for CWD conditions in a drained peatland area in Central Kalimantan, where we found CWD in the dry season of 2011 to be generally below −1.5 and often below −2.5 m indicating severely overdrained conditions. We concluded that airborne LiDAR can provide an efficient and rapid mapping tool of CWD at the time of LiDAR data collection, which can be cost-effective especially where LiDAR data or derived DTMs are already available. The method can be applied to any LiDAR-based DTM that represents a flat landscape that has open water bodies.https://www.mdpi.com/2073-4441/12/5/1486canal water table depthwater table measurementLiDARdigital terrain modelpeatlandlowland
spellingShingle Ronald Vernimmen
Aljosja Hooijer
Dedi Mulyadi
Iwan Setiawan
Maarten Pronk
Angga T. Yuherdha
A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
Water
canal water table depth
water table measurement
LiDAR
digital terrain model
peatland
lowland
title A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
title_full A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
title_fullStr A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
title_full_unstemmed A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
title_short A New Method for Rapid Measurement of Canal Water Table Depth Using Airborne LiDAR, with Application to Drained Peatlands in Indonesia
title_sort new method for rapid measurement of canal water table depth using airborne lidar with application to drained peatlands in indonesia
topic canal water table depth
water table measurement
LiDAR
digital terrain model
peatland
lowland
url https://www.mdpi.com/2073-4441/12/5/1486
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