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Open AccessTechnical Note

Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle

Faculty of Environmental Sciences, Technical University Dresden, 01062 Dresden, Germany
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Remote Sens. 2019, 11(21), 2541; https://doi.org/10.3390/rs11212541
Received: 16 October 2019 / Revised: 26 October 2019 / Accepted: 28 October 2019 / Published: 29 October 2019
(This article belongs to the Special Issue Remote Sensing for Sustainable Agriculture and Smart Farming)
In this paper we aim to show a proof-of-principle approach to detect and monitor weed management using glyphosate-based herbicides in agricultural practices. In a case study in Germany, we demonstrate the application of Sentinel-2 multispectral time-series data. Spectral broadband vegetation indices were analysed to observe vegetation traits and weed damage arising from herbicide-based management. The approach has been validated with stakeholder information about herbicide treatment using commercial products. As a result, broadband NDVI calculated from Sentinel-2 data showed explicit feedback after the glyphosate-based herbicide treatment. Vegetation damage could be detected after just two days following of glyphosate-based herbicide treatment. This trend was observed in three different application scenarios, i.e., during growing stage, before harvest and after harvest. The findings of the study demonstrate the feasibility of satellite based broadband NDVI data for the detection of glyphosate-based herbicide treatment and, e.g., the monitoring of latency to harvesting. The presented results can be used to implement monitoring concepts to provide the necessary transparency about weed treatment in agricultural practices and to support environmental monitoring. View Full-Text
Keywords: NDVI; glyphosate; herbicide; Sentinel-2; broadband spectral indices; vegetation traits; precision farming; time-series; Roundup®; insects; biodiversity; soil health monitoring NDVI; glyphosate; herbicide; Sentinel-2; broadband spectral indices; vegetation traits; precision farming; time-series; Roundup®; insects; biodiversity; soil health monitoring
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MDPI and ACS Style

Pause, M.; Raasch, F.; Marrs, C.; Csaplovics, E. Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle. Remote Sens. 2019, 11, 2541.

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