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 ...

Verfasser: Estifanos Addisu Yimer
Shahla Yadollahi
Fatima-Ezzahra Riakhi
Abdennabi Alitane
Imeshi Weerasinghe
Charlotte Wirion
Jiri Nossent
Ann van Griensven
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103423- (2023)
Verlag/Hrsg.: Elsevier
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