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Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers

Söderström, Mats and Piikki, Kristin and Stenberg, Maria and Stadig, Henrik and Martinsson, Johan (2017). Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers. Acta agriculturae Scandinavica. Section B, Soil and plant science. 67, 637-650
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Official URL: http://dx.doi.org/10.1080/09064710.2017.1324044

Abstract

Responsive fertilisation of winter wheat (Triticum aestivum L.) is often adopted, with N applied two or three times between the developmental stages of tillering and booting. Satellite-based decision support systems (DSS) providing vegetation index maps calculated from satellite data are available to aid farmers in adjusting the topdressing nitrogen (N) rate site-specifically to the current season and to variations in growth conditions within the field. One example is the freely available CropSAT DSS used in Scandinavia, which provides farmers with raster maps of the modified soil-adjusted vegetation index (MSAVI2) calculated mainly from data obtained from satellites Sentinel-2 (ESA, EU) and DMC (DMCii Ltd, Guildford, UK). This study investigated the possibility of calibrating MSAVI2 maps with data from handheld proximal sensor measurements of N uptake covering the main agricultural regions in Sweden during growth stages Z30-45 on the Zadok scale, in order to facilitate farmers' decisions on N rate. More than 200 N-sensor measurements acquired during 2015 and 2016 in seven different winter wheat cultivars were combined with MSAVI2 values from CropSAT. It was found that N uptake could be predicted in a general, national model, i.e. for sites and dates other than those for which the calibration model was parameterised, with a mean absolute error of 11-15kgNha(-1). A cultivar-specific model performed better than this general model, but a regional model showed no improvement compared with the model parameterised with national data. Vegetation indices calculated from the two narrow bands of Sentinel-2 in the red edge-near infrared region of the crop canopy reflectance spectrum proved to be promising alternatives to the broadband index MSAVI2. Based on the results, we suggest that data from a monitoring programme involving handheld N sensor measurements can be integrated with a satellite-based DSS to upscale N uptake information.

Authors/Creators:Söderström, Mats and Piikki, Kristin and Stenberg, Maria and Stadig, Henrik and Martinsson, Johan
Title:Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers
Series/Journal:Acta agriculturae Scandinavica. Section B, Soil and plant science (0906-4710)
Year of publishing :2017
Volume:67
Page range:637-650
Number of Pages:14
Publisher:Taylor & Francis Group
ISSN:0906-4710
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:F Plant production > F01 Crop husbandry
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Agrovoc terms:nitrogen, Winter wheat, decision support systems
Keywords:Nitrogen fertilisation, decision support system, remote sensing, proximal sensing, Yara N-Sensor, upscaling, CropSAT, variable-rate application, precision agriculture
URN:NBN:urn:nbn:se:slu:epsilon-e-4561
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4561
Additional ID:
Type of IDID
Web of Science (WoS)000403946400006
ID Code:14801
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
Deposited By: SLUpub Connector
Deposited On:13 Dec 2017 10:27
Metadata Last Modified:13 Dec 2017 10:27

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