{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T04:42:13Z","timestamp":1776314533453,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T00:00:00Z","timestamp":1508198400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Groundwater level (GWL) and depth to water (DTW) are related metrics aimed at characterizing groundwater-table positions in peatlands, and two of the most common variables collected by researchers working in these ecosystems. While well-established field techniques exist for measuring GWL and DTW, they are generally difficult to scale. In this study, we present a novel workflow for mapping groundwater using orthophotography and photogrammetric point clouds acquired from unmanned aerial vehicles. Our approach takes advantage of the fact that pockets of surface water are normally abundant in peatlands, which we assume to be reflective of GWL in these porous, gently sloping environments. By first classifying surface water and then extracting a sample of water elevations, we can generate continuous models of GWL through interpolation. Estimates of DTW can then be obtained through additional efforts to characterize terrain. We demonstrate our methodology across a complex, 61-ha treed bog in northern Alberta, Canada. An independent accuracy assessment using 31 temporally coincident water-well measurements revealed accuracies (root mean square error) in the 20-cm range, though errors were concentrated in small upland pockets in the study area, and areas of dense tree covers. Model estimates in the open peatland areas were considerably better.<\/jats:p>","DOI":"10.3390\/rs9101057","type":"journal-article","created":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T11:14:35Z","timestamp":1508238875000},"page":"1057","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["A New Method to Map Groundwater Table in Peatlands Using Unmanned Aerial Vehicles"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5386-6084","authenticated-orcid":false,"given":"Mir Mustafizur","family":"Rahman","sequence":"first","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8079-3730","authenticated-orcid":false,"given":"Gregory J.","family":"McDermid","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]},{"given":"Maria","family":"Strack","sequence":"additional","affiliation":[{"name":"Department of Geography and Environmental Management, The University of Waterloo, Waterloo, ON N2L 3G1, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9943-265X","authenticated-orcid":false,"given":"Julie","family":"Lovitt","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wieder, R.K., and Vitt, D.H. (2006). Boreal Peatland Ecosystems, Springer Science & Business Media.","DOI":"10.1007\/978-3-540-31913-9"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Tarnocai, C., Kettles, I.M., and Lacelle, B. (2011). Peatlands of Canada.","DOI":"10.4095\/288786"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1525\/bio.2011.61.1.10","article-title":"Biodiversity and conservation of tropical peat swamp forests","volume":"61","author":"Posa","year":"2011","journal-title":"BioScience"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2178","DOI":"10.1016\/j.jenvman.2007.06.025","article-title":"A multi-scale remote sensing approach for monitoring northern peatland hydrology: Present possibilities and future challenges","volume":"90","author":"Harris","year":"2009","journal-title":"J. Environ. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11104-008-9832-9","article-title":"Effect of water table on greenhouse gas emissions from peatland mesocosms","volume":"318","author":"Dinsmore","year":"2009","journal-title":"Plant Soil"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2047","DOI":"10.1016\/j.soilbio.2008.04.015","article-title":"Groundwater level controls CO2, N2O and CH4 fluxes of three different hydromorphic soil types of a temperate forest ecosystem","volume":"40","author":"Jungkunst","year":"2008","journal-title":"Soil Biol. Biochem."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4-1","DOI":"10.1029\/2001GB001457","article-title":"Modeling seasonal to annual carbon balance of Mer Bleue Bog, Ontario, Canada","volume":"16","author":"Frolking","year":"2002","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"991","DOI":"10.13031\/2013.18511","article-title":"Use of SWAT to compute groundwater table depth and streamflow in the Muscatatuck River watershed","volume":"48","author":"Engel","year":"2005","journal-title":"Trans. ASAE"},{"key":"ref_9","first-page":"6","article-title":"A field exercise on groundwater flow using seepage meters and mini-piezometers","volume":"27","author":"Lee","year":"1979","journal-title":"J. Geol. Educ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1007\/s10040-010-0631-z","article-title":"Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques","volume":"18","author":"Jha","year":"2010","journal-title":"Hydrogeol. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"34189","DOI":"10.1029\/2001JD900165","article-title":"Modeling modern methane emissions from natural wetlands: 1. Model description and results","volume":"106","author":"Walter","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s10040-006-0127-z","article-title":"How can remote sensing contribute in groundwater modeling?","volume":"15","author":"Brunner","year":"2007","journal-title":"Hydrogeol. J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1080\/02757259009532107","article-title":"Applications of remote sensing to groundwater hydrology","volume":"4","author":"Waters","year":"1990","journal-title":"Remote Sens. Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1016\/j.rse.2014.07.014","article-title":"Spectral detection of near-surface moisture content and water-table position in northern peatland ecosystems","volume":"152","author":"Meingast","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s11355-008-0061-4","article-title":"Estimation of surface soil properties in peatland using ALOS\/PALSAR","volume":"5","author":"Takada","year":"2009","journal-title":"Landsc. Ecol. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.rse.2006.05.011","article-title":"Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration","volume":"104","author":"Zhang","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"113","DOI":"10.2307\/2269558","article-title":"Effects of groundwater decline on riparian vegetation of semiarid regions: the San Pedro, Arizona","volume":"6","author":"Stromberg","year":"1996","journal-title":"Ecol. Appl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.rse.2005.05.001","article-title":"Detecting near-surface moisture stress in Sphagnum spp.","volume":"97","author":"Harris","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Lovitt, J., Rahman, M.M., and McDermid, G.J. (2017). Assessing the Value of UAV Photogrammetry for Characterizing Terrain in Complex Peatlands. Remote Sens., 9.","DOI":"10.3390\/rs9070715"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1038\/297300a0","article-title":"Size and shape in raised mire ecosystems: A geophysical model","volume":"297","author":"Ingram","year":"1982","journal-title":"Nature"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12518-013-0120-x","article-title":"UAV for 3D mapping applications: A review","volume":"6","author":"Nex","year":"2014","journal-title":"Appl. Geomat."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"453","DOI":"10.3390\/s120100453","article-title":"Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera","volume":"12","author":"Rosnell","year":"2012","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.enggeo.2011.03.012","article-title":"UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results","volume":"128","author":"Niethammer","year":"2012","journal-title":"Eng. Geol."},{"key":"ref_25","first-page":"C22","article-title":"UAV photogrammetry for mapping and 3d modeling\u2013current status and future perspectives","volume":"38","author":"Remondino","year":"2011","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.geomorph.2013.03.023","article-title":"Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model","volume":"194","author":"Hugenholtz","year":"2013","journal-title":"Geomorphology"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1002\/esp.3613","article-title":"Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry","volume":"40","author":"Woodget","year":"2015","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1139\/e99-097","article-title":"Spatial and temporal trends in carbon storage of peatlands of continental western Canada through the Holocene","volume":"37","author":"Vitt","year":"2000","journal-title":"Can. J. Earth Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1002\/esp.3609","article-title":"Mitigating systematic error in topographic models derived from UAV and ground-based image networks","volume":"39","author":"James","year":"2014","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Jaud, M., Passot, S., LeBivic, R., Delacourt, C., Grandjean, P., and Le Dantec, N. (2016). Assessing the Accuracy of High Resolution Digital Surface Models Computed by PhotoScan\u00ae and MicMac\u00ae in Sub-Optimal Survey Conditions. Remote Sens., 8.","DOI":"10.3390\/rs8060465"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Benassi, F., Dall\u2019Asta, E., Diotri, F., Forlani, G., Di Cella, U.M., Roncella, R., and Santise, M. (2017). Testing accuracy and repeatability of UAV blocks oriented with GNSS-supported aerial triangulation. Remote Sens., 9.","DOI":"10.3390\/rs9020172"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.isprsjprs.2013.09.014","article-title":"Geographic object-based image analysis\u2013towards a new paradigm","volume":"87","author":"Blaschke","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"9435","DOI":"10.3390\/rs6109435","article-title":"Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines","volume":"6","author":"Rahman","year":"2014","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s13201-014-0172-z","article-title":"Accessing groundwater quality in lower part of Nagapattinam district, Southern India: Using hydrogeochemistry and GIS interpolation techniques","volume":"5","author":"Gnanachandrasamy","year":"2015","journal-title":"Appl. Water Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2847","DOI":"10.1007\/s12665-013-2662-y","article-title":"GIS-based evaluation of water quality index of groundwater resources around Tuticorin coastal city, South India","volume":"71","author":"Selvam","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1911","DOI":"10.1007\/s12665-013-2595-5","article-title":"Evaluation of spatial interpolation methods for groundwater level in an arid inland oasis, northwest China","volume":"71","author":"Yao","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1002\/hyp.9578","article-title":"Spatial prediction on river networks: comparison of top-kriging with regional regression","volume":"28","author":"Laaha","year":"2014","journal-title":"Hydrol. Process."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1016\/j.envsoft.2009.03.009","article-title":"Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China","volume":"24","author":"Sun","year":"2009","journal-title":"Environ. Model. Softw."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1046\/j.1365-2486.2003.00571.x","article-title":"Potential effects of warming and drying on peatland plant community composition","volume":"9","author":"Weltzin","year":"2003","journal-title":"Glob. Chang. Biol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.quascirev.2015.05.012","article-title":"Drivers of Holocene peatland carbon accumulation across a climate gradient in northeastern North America","volume":"121","author":"Charman","year":"2015","journal-title":"Quat. Sci. Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1038\/ngeo2325","article-title":"Global vulnerability of peatlands to fire and carbon loss","volume":"8","author":"Turetsky","year":"2015","journal-title":"Nat. Geosci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"8063","DOI":"10.1038\/srep08063","article-title":"Moderate drop in water table increases peatland vulnerability to post-fire regime shift","volume":"5","author":"Kettridge","year":"2015","journal-title":"Sci. Rep."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1007\/s10021-016-0092-x","article-title":"Multi-decadal changes in water table levels alter peatland carbon cycling","volume":"20","author":"Chimner","year":"2017","journal-title":"Ecosystems"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s11273-015-9423-5","article-title":"The effect of long-term drying associated with experimental drainage and road construction on vegetation composition and productivity in boreal fens","volume":"23","author":"Miller","year":"2015","journal-title":"Wetl Ecol. Manag."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Strack, M., Softa, D., Bird, M., and Xu, B. (2017). Impact of winter roads on boreal peatland carbon exchange. Glob. Chang. Biol.","DOI":"10.1111\/gcb.13844"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s10661-007-9803-2","article-title":"Application and evaluation of kriging and cokriging methods on groundwater depth mapping","volume":"138","author":"Ahmadi","year":"2008","journal-title":"Environ. Monit. Assess."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1111\/j.1745-6584.2008.00490.x","article-title":"Mapping water table depth using geophysical and environmental variables","volume":"47","author":"Buchanan","year":"2009","journal-title":"Groundwater"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/10\/1057\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:47:35Z","timestamp":1760208455000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/10\/1057"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,17]]},"references-count":47,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2017,10]]}},"alternative-id":["rs9101057"],"URL":"https:\/\/doi.org\/10.3390\/rs9101057","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,17]]}}}