Abstract

Terrestrial vegetation has numerous positive effects on the main regulating services of agricultural channels, such as seed retention, pollutant mitigation, bank stabilization, and sedimentation, and this vegetation acts as a porous medium for the flow of matter through the channels. This vegetation also limits the water conveyance in channels, and consequently is frequently removed by farmers to increase its porosity. However, the temporal effects of these management practices remain poorly understood. Indeed, the vegetation porosity exhibits important temporal variations according to the maintenance schedule, and the water level also varies with time inside a given channel section according to rainfall events or irrigation practices. To maximise the impacts of vegetation on agricultural channels, it is now of primary importance to measure vegetation porosity according to water level over a long time period rather than at a particular time. Time series of such complex vegetation characteristics have never been studied using remote sensing methods. Here, we present a new approach using the Structure-from-Motion approach using a Multi-View Stereo algorithm (SfM-MVS) technique to construct time series of herbaceous vegetation porosity in a real agricultural channel managed by five different practices: control, dredging, mowing, burning, and chemical weeding. We post-processed the time series of point clouds to create an indicator of vegetation porosity for the whole section and of the surface of the channel. Mowing and chemical weeding are the practices presenting the most favorable temporal evolutions of the porosity indicators regarding flow events. Burning did not succeed in restoring the porosity of the channel due to quick recovery of the vegetation and dephasing of the maintenance calendar with the flow events. The high robustness of the technique and the automatization of the SfM-MVS calculation together with the post-processing of the point clouds should help in handling time series of SfM-MVS data for applications in ecohydrology or agroecology.

Highlights

  • Terrestrial vegetation plays a central role in agricultural channels by providing regulating services [1,2,3], such as pollutant mitigation [3], sediment retention, or bank stabilization [4]

  • The evolution of vegetation height during the period was related to neither the RMSE nor the mean absolute error (MAE) (Pearson product-moment correlation < 0.6), suggesting that the vegetation cover outside the zone disturbed by management practices, remaining rather constant in terms of configuration and development between surveys, was the main factor affecting the RMSE and MAE

  • Frequent monitoring of the vegetation cover in agricultural waterways is necessary because the waterways experience high variations throughout the year due to the schedule of management practices, the intermittency of water flow depending on rainfall events, and the seasonality of vegetation regrowth

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Summary

Introduction

Terrestrial vegetation plays a central role in agricultural channels by providing regulating services [1,2,3], such as pollutant mitigation [3], sediment retention, or bank stabilization [4]. Terrestrial vegetation provides disservices to agriculture, especially because it reduces the hydraulic conveyance capacity of channels [11,12] or causes channel occlusion by sediment trapping [13] Because of these effects, considered as adverse by farmers, channels are frequently managed to remove the vegetation cover [3] by mowing, dredging, chemical weeding, and burning [14]. The dynamics of vegetation cover, exhibiting variations according to management practices and seasonal growth, together with water level fluctuations across the year, needs to be understood to implement an effective management schedule to optimize the positive and negative impacts of vegetation on channels

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