{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T19:23:58Z","timestamp":1778181838030,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T00:00:00Z","timestamp":1616112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["MRI-1338193"],"award-info":[{"award-number":["MRI-1338193"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OIA-1208927"],"award-info":[{"award-number":["OIA-1208927"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000202","name":"U.S. Fish and Wildlife Service","doi-asserted-by":"publisher","award":["F15AC01133"],"award-info":[{"award-number":["F15AC01133"]}],"id":[{"id":"10.13039\/100000202","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A pilot study for mapping the Arctic wetlands was conducted in the Yukon Flats National Wildlife Refuge (Refuge), Alaska. It included commissioning the HySpex VNIR-1800 and the HySpex SWIR-384 imaging spectrometers in a single-engine Found Bush Hawk aircraft, planning the flight times, direction, and speed to minimize the strong bidirectional reflectance distribution function (BRDF) effects present at high latitudes and establishing improved data processing workflows for the high-latitude environments. Hyperspectral images were acquired on two clear-sky days in early September, 2018, over three pilot study areas that together represented a wide variety of vegetation and wetland environments. Steps to further minimize BRDF effects and achieve a higher geometric accuracy were added to adapt and improve the Hyspex data processing workflow, developed by the German Aerospace Center (DLR), for high-latitude environments. One-meter spatial resolution hyperspectral images, that included a subset of only 120 selected spectral bands, were used for wetland mapping. A six-category legend was established based on previous U.S. Geological Survey (USGS) and U.S. Fish and Wildlife Service (USFWS) information and maps, and three different classification methods\u2014hybrid classification, spectral angle mapper, and maximum likelihood\u2014were used at two selected sites. The best classification performance occurred when using the maximum likelihood classifier with an averaged Kappa index of 0.95; followed by the spectral angle mapper (SAM) classifier with a Kappa index of 0.62; and, lastly, by the hybrid classifier showing lower performance with a Kappa index of 0.51. Recommendations for improvements of future work include the concurrent acquisition of LiDAR or RGB photo-derived digital surface models as well as detailed spectra collection for Alaska wetland cover to improve classification efforts.<\/jats:p>","DOI":"10.3390\/rs13061178","type":"journal-article","created":{"date-parts":[[2021,3,21]],"date-time":"2021-03-21T23:47:41Z","timestamp":1616370461000},"page":"1178","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Airborne Hyperspectral Data Acquisition and Processing in the Arctic: A Pilot Study Using the Hyspex Imaging Spectrometer for Wetland Mapping"],"prefix":"10.3390","volume":"13","author":[{"given":"Jordi","family":"Crist\u00f3bal","sequence":"first","affiliation":[{"name":"Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, AK 99775-7320, USA"},{"name":"Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc Cient\u00edfic i Tecnol\u00f2gic Agroalimentari de Lleida 23, 25003 Lleida, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Graham","sequence":"additional","affiliation":[{"name":"Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, AK 99775-7320, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anupma","family":"Prakash","sequence":"additional","affiliation":[{"name":"Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, AK 99775-7320, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7922-2161","authenticated-orcid":false,"given":"Marcel","family":"Buchhorn","sequence":"additional","affiliation":[{"name":"Remote Sensing Unit, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1962-9787","authenticated-orcid":false,"given":"Rudi","family":"Gens","sequence":"additional","affiliation":[{"name":"Alaska Satellite Facility, Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, AK 99775-7320, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikki","family":"Guldager","sequence":"additional","affiliation":[{"name":"Yukon Flats National Wildlife Refuge, U.S. Fish and Wildlife Service, 101 12th Avenue, Fairbanks, AK 99701, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Bertram","sequence":"additional","affiliation":[{"name":"Yukon Flats National Wildlife Refuge, U.S. Fish and Wildlife Service, 101 12th Avenue, Fairbanks, AK 99701, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,19]]},"reference":[{"key":"ref_1","unstructured":"Flagstad, L., Steer, M.A., Boucher, T., Aisu, M., and Lema, P. (2018). Wetlands across Alaska: Statewide Wetland Map and Assessment of Rare Wetland Ecosystems, University of Alaska Anchorage."},{"key":"ref_2","unstructured":"Dahl, T.E. (1990). Wetlands Losses in the United States 1780s to 1980s, U.S. Department of the Interior, Fish and Wildlife Service."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1002\/hyp.9642","article-title":"Temporal and spatial pattern of thermokarst lake area changes at yukon flats, alaska","volume":"28","author":"Chen","year":"2014","journal-title":"Hydrol. Process."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1023\/A:1005667424292","article-title":"Permafrost degradation and ecological changes associated with a warming climate in central alaska","volume":"48","author":"Jorgenson","year":"2001","journal-title":"Clim. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2276","DOI":"10.1111\/gcb.12196","article-title":"Landscape influences on climate-related lake shrinkage at high latitudes","volume":"19","author":"Roach","year":"2013","journal-title":"Glob. Chang. Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"114001","DOI":"10.1088\/1748-9326\/aae46c","article-title":"Permafrost thaw induced drying of wetlands at scotty creek, nwt, canada","volume":"13","author":"Haynes","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_7","first-page":"35","article-title":"Wetland hydrology, water quality, and associated functions","volume":"Volume 2425","author":"Carter","year":"1996","journal-title":"United States Geological Survey Water Supply Paper"},{"key":"ref_8","unstructured":"Hall, J.V., Frayer, W.E., Wilen, B.O., and Fish, U.S. (1994). Status of Alaska Wetlands. U.S. Fish & Wildlife Service."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1146\/annurev.ecolsys.35.112202.130132","article-title":"Application of ecological indicators","volume":"35","author":"Niemi","year":"2004","journal-title":"Annu. Rev. Ecol. Evol. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Tiner, R.W. (2012). Defining Hydrophytes for Wetland Identification and Delineation, Defense Technical Information Center.","DOI":"10.21236\/ADA555761"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Cowardin, L.M., Fish, U.S., Service, W., and Program, B.S. (1979). Classification of Wetlands and Deepwater Habitats of the United States, Fish and Wildlife Service, U.S. Department of the Interior.","DOI":"10.5962\/bhl.title.4108"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/BF00045199","article-title":"Wetland classification and inventory: A summary","volume":"118","author":"Finlayson","year":"1995","journal-title":"Vegetatio"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11273-009-9169-z","article-title":"Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review","volume":"18","author":"Adam","year":"2010","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_14","unstructured":"Group, A.W.T.W. (2019). Statewide Wetland Inventory Ten Year Strategic Plan 2019\u20132029, U.S. Fish & Wildlife Service."},{"key":"ref_15","unstructured":"Jorgenson, M.T. (2004). Landcover Mapping for Bering Land Bridge National Preserve and Cape Krusenstern National Monument, Northwestern Alaska, U.S. Department of the Interior, National Park Service, Natural Resource Program Center."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1002\/ppp.1775","article-title":"Extending airborne electromagnetic surveys for regional active layer and permafrost mapping with remote sensing and ancillary data, yukon flats ecoregion, central alaska","volume":"24","author":"Pastick","year":"2013","journal-title":"Permafr. Periglac."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"418","DOI":"10.2112\/JCOASTRES-D-10-00174.1","article-title":"Remote sensing of wetlands: Case studies comparing practical techniques","volume":"27","author":"Klemas","year":"2011","journal-title":"J. Coast. Res."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Crist\u00f3bal, J., Graham, P., Buchhorn, M., and Prakash, A. (2016). A new integrated high-latitude thermal laboratory for the characterization of land surface processes in alaska\u2019s arctic and boreal regions. Data, 1.","DOI":"10.3390\/data1020013"},{"key":"ref_19","unstructured":"Miller, C.E., Green, R.O., Thompson, D.R., Thorpe, A.K., Eastwood, M., Mccubbin, I.B., Olson-duvall, W., Bernas, M., Sarture, C.M., and Nolte, S. (2019). Above: Hyperspectral Imagery from Aviris-Ng, Alaskan and Canadian Arctic, 2017\u20132018, ORNL DAAC."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Weng, Q. (2014). Hyperspectral remote sensing with emphasis on land cover mapping: From ground to satellite observations. Scale Issues in Remote Sensing, John Wiley & Sons, Inc.","DOI":"10.1002\/9781118801628"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1080\/15481603.2017.1419602","article-title":"Remote sensing for wetland classification: A comprehensive review","volume":"55","author":"Mahdavi","year":"2018","journal-title":"Gisci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1023\/A:1020908432489","article-title":"Satellite remote sensing of wetlands","volume":"10","author":"Ozesmi","year":"2002","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_23","unstructured":"Kaufmann, H., F\u00f6rster, S., Wulf, H., Segl, K., Guanter, L., Bochow, M., Heiden, U., M\u00fcller, A., Heldens, W., and Schneiderhan, T. (2012). Science Plan of the Environmental Mapping and Analysis Program (Enmap), Deutsches GeoForschungsZentrum GFZ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1080\/07438140309354079","article-title":"Limnology of shallow lakes in the yukon flats national wildlife refuge, interior alaska","volume":"19","author":"Heglund","year":"2003","journal-title":"Lake Reserv. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Arp, C.D., and Jones, B.M. (2009). Geography of Alaska Lake Districts: Identification, Description, and Analysis of Lake-Rich Regions of a Diverse and Dynamic State, 2008-5215.","DOI":"10.3133\/sir20085215"},{"key":"ref_26","first-page":"383","article-title":"Permafrost degradation and thaw settlement under lakes in yedoma environment","volume":"Volume 10","author":"Hinkel","year":"2012","journal-title":"Proceedings of the Tenth International Conference on Permafrost"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"209","DOI":"10.2307\/1551357","article-title":"The hydrology of alaskan wetlands, U.S.A.: A review","volume":"19","author":"Ford","year":"1987","journal-title":"Arct. Alp. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1111\/gcb.12759","article-title":"Pronounced chemical response of subarctic lakes to climate-driven losses in surface area","volume":"21","author":"Lewis","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_29","unstructured":"Heglund, P.J. (1994). Patterns of Wetland Use among Aquatic Birds in the Interior Boreal Forest Region of Alaska, University of Missouri."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Habermeyer, M., Bachmann, M., Holzwarth, S., M\u00fcller, R., and Richter, R. (2012, January 22\u201327). Incorporating a Push-Broom Scanner into a Generic Hyperspectral Processing Chain. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352414"},{"key":"ref_31","unstructured":"Norsk Elektro Optikk (2014). Imaging Spectrometer: Users Manual, Norsk Elektro Optikk."},{"key":"ref_32","unstructured":"Richter, R., and Schlapfer, D. (2015). Atmospheric\/Topographic Correction for Airborne Imagery, ReSe Applications."},{"key":"ref_33","unstructured":"Davaadorj, A. (2019). Evaluating Atmospheric Correction Methods Using Worldview-3 Image, University of Twente."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Crist\u00f3bal, J., Jim\u00e9nez-Mu\u00f1oz, J., Prakash, A., Mattar, C., Skokovi\u0107, D., and Sobrino, J. (2018). An improved single-channel method to retrieve land surface temperature from the landsat-8 thermal band. Remote Sens., 10.","DOI":"10.3390\/rs10030431"},{"key":"ref_35","unstructured":"Buchhorn, M. (2014). Ground-Based Hyperspectral and Spectro-Directional Reflectance Characterization of Arctic Tundra Vegetation Communities: Field Spectroscopy and Field Spectro-Goniometry of Siberian and Alaskan Tundra in Preparation of the Enmap Satellite Mission. [Doctoral Dissertation, Universitaetsverlag Potsdam]."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Schl\u00e4pfer, D., and Richter, R. (2014, January 24\u201327). Evaluation of Brefcor Brdf Effects Correction for Hyspex, Casi, and Apex Imaging Spectroscopy Data. Proceedings of the 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland.","DOI":"10.1109\/WHISPERS.2014.8077488"},{"key":"ref_37","unstructured":"Boggs, K., Flagstad, L., Boucher, T., Kuo, T., Fehringer, D., Guyer, S., and Megumi, A. (2016). Vegetation Map and Classification: Northern, Western and Interior Alaska, University of Alaska. [2nd ed.]."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Pu, R. (2017). Hyperspectral remote sensing: Fundamentals and Practices, CRC Press.","DOI":"10.1201\/9781315120607"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1080\/0143116021000021189","article-title":"Post-classification change detection with data from different sensors: Some accuracy considerations","volume":"24","author":"Serra","year":"2003","journal-title":"Int. J. Remote. Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The spectral image processing system (sips)\u2014interactive visualization and analysis of imaging spectrometer data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote. Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Markelin, L., Simis, S., Hunter, P., Spyrakos, E., Tyler, A., Clewley, D., and Groom, S. (2016). Atmospheric correction performance of hyperspectral airborne imagery over a small eutrophic lake under changing cloud cover. Remote Sens., 9.","DOI":"10.3390\/rs9010002"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"4","DOI":"10.14214\/sf.7753","article-title":"A spectral analysis of 25 boreal tree species","volume":"51","author":"Hovi","year":"2017","journal-title":"Silva. Fenn."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5589\/m05-003","article-title":"Classification of iowa wetlands using an airborne hyperspectral image: A comparison of the spectral angle mapper classifier and an object-oriented approach","volume":"31","author":"Harken","year":"2005","journal-title":"Can. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3609","DOI":"10.1080\/01431160701469099","article-title":"Mapping an inland wetland complex using hyperspectral imagery","volume":"29","author":"Jollineau","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"11","DOI":"10.14358\/PERS.71.2.145","article-title":"Automated mapping of stream features with high-resolution multispectral imagery: An example of the capabilities","volume":"71","author":"Leckie","year":"2005","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s10661-007-9855-3","article-title":"Remote sensing of aquatic vegetation: Theory and applications","volume":"140","author":"Silva","year":"2008","journal-title":"Environ. Monit. Assess."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/0034-4257(81)90004-3","article-title":"Spectral reflectance of hydrophytes","volume":"11","author":"Best","year":"1981","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1178\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:38:18Z","timestamp":1760161098000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1178"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,19]]},"references-count":47,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13061178"],"URL":"https:\/\/doi.org\/10.3390\/rs13061178","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,19]]}}}