A groundwater level-based filtering to improve the accuracy of locating agricultural tile drain and ditch networks
Remote sensing (RS) using satellites circling around the Earth has great potential for monitoring surface processes with reduced cost and greater access. This study uses three approaches to identify possible drainage unit locations: existing benchmark techniques and a novel complementary approach based on groundwater table depth. The study area comprises a site in Ontario, Canada, and the Kleine Nete catchment, Belgium. First, a change detection method based on the interpretation of RS imagery is used to retrieve soil moisture differences. Based on the retrieved soil moisture differences, it i... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103423- (2023) |
Verlag/Hrsg.: |
Elsevier
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Schlagwörter: | Drainage unit identification / Remote sensing / Decision tree classification / Groundwater / Ontario Canada / Kleine Nete Belgium / Physical geography / GB3-5030 / Environmental sciences / GE1-350 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26581927 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1016/j.jag.2023.103423 |