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Technical note: A simple approach for efficient collection of field reference data for calibrating remote sensing mapping of northern wetlands
Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-1107-3929
Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Centre for Climate Science and Policy Research, CSPR.ORCID iD: 0000-0002-3926-3671
Stockholm Univ, Sweden.
LSCE, France.
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2018 (English)In: Biogeosciences, ISSN 1726-4170, E-ISSN 1726-4189, Vol. 15, no 5, p. 1549-1557Article in journal (Refereed) Published
Abstract [en]

The calibration and validation of remote sensing land cover products are highly dependent on accurate field reference data, which are costly and practically challenging to collect. We describe an optical method for collection of field reference data that is a fast, cost-efficient, and robust alternative to field surveys and UAV imaging. A lightweight, waterproof, remote-controlled RGB camera (GoPro HERO4 Silver, GoPro Inc.) was used to take wide-angle images from 3.1 to 4.5 m in altitude using an extendable monopod, as well as representative near-ground (amp;lt; 1 m) images to identify spectral and structural features that correspond to various land covers in present lighting conditions. A semi-automatic classification was made based on six surface types (graminoids, water, shrubs, dry moss, wet moss, and rock). The method enables collection of detailed field reference data, which is critical in many remote sensing applications, such as satellite-based wetland mapping. The method uses common non-expensive equipment, does not require special skills or training, and is facilitated by a step-by-step manual that is included in the Supplement. Over time a global ground cover database can be built that can be used as reference data for studies of non-forested wetlands from satellites such as Sentinel 1 and 2 (10 m pixel size).

Place, publisher, year, edition, pages
COPERNICUS GESELLSCHAFT MBH , 2018. Vol. 15, no 5, p. 1549-1557
National Category
Geosciences, Multidisciplinary
Identifiers
URN: urn:nbn:se:liu:diva-147109DOI: 10.5194/bg-15-1549-2018ISI: 000427515600002OAI: oai:DiVA.org:liu-147109DiVA, id: diva2:1199539
Note

Funding Agencies|Swedish Research Council VR [VR 2012-48]; IZOMET project [VR 2014-6584]; IZOMET partner Marielle Saunois (Laboratoire des Sciences du Climat et de lEnvironnement (LSCE), Gif-sur-Yvette, France

Available from: 2018-04-20 Created: 2018-04-20 Last updated: 2018-10-05

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