Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning

Author:

Vallejo Orti MiguelORCID,Anders KatharinaORCID,Ajayi OluibukunORCID,Bubenzer OlafORCID,Höfle BernhardORCID

Funder

Heidelberg University

German Aerospace Centre DLR

Publisher

Elsevier BV

Reference64 articles.

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3. Remote sensing and GIS-based machine learning models for spatial gully erosion prediction: a case study of Rdat watershed in Sebou basin, Morocco;Aouragh;Remote Sens. Appl.: Society and Environment,2023

4. Perdition of gully erosion susceptibility mapping using novel ensemble machine learning algorithms;Arabameri;Geomatics, Nat. Hazards Risk,2021

5. Monitoring gully erosion in the European Union: a novel approach based on the Land Use/Cover Area frame survey (LUCAS);Borrelli;International Soil and Water Conservation Research,2022

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1. GIScience I: The rise, fragmentation, and future of VGI;Progress in Human Geography;2024-09-04

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