Aldana Jague, E.

Goulding, K. W. T.

Heckrath, G.

Macdonald, A. J.

Poulton, P. R.

Stevens, A.

Van Oost, K.

Van Wesemael, B.

Rothamsted Repository

Patron:		Her	Majesty	The	Queen	 	 Rothamsted	Research	Harpenden,	Herts,	AL5	2JQ		Telephone:	+44	(0)1582	763133	Web:	http://www.rothamsted.ac.uk/			 			Rothamsted Research is a Company Limited by Guarantee Registered Office: as above.  Registered in England No. 2393175. Registered Charity No. 802038.  VAT No. 197 4201 51. Founded in 1843 by John Bennet Lawes.		Rothamsted Repository DownloadC2 - Non-edited contributions to conferencesAldana Jague, E., Goulding, K. W. T., Heckrath, G., Macdonald, A. J., Poulton, P. R., Stevens, A., Van Wesemael, B. and Van Oost, K. 2014. High-resolution spatial patterns of soil organic carbon content derived from low-altitude aerial multi-band imagery on the Broadbalk Wheat Experiment at Rothamsted, UK. EGU. The output can be accessed at: https://repository.rothamsted.ac.uk/item/8v084/high-resolution-spatial-patterns-of-soil-organic-carbon-content-derived-from-low-altitude-aerial-multi-band-imagery-on-the-broadbalk-wheat-experiment-at-rothamsted-uk.© Please contact library@rothamsted.ac.uk for copyright queries.12/09/2019 10:09 repository.rothamsted.ac.uk library@rothamsted.ac.ukGeophysical Research AbstractsVol. 16, EGU2014-12063-2, 2014EGU General Assembly 2014© Author(s) 2014. CC Attribution 3.0 License.High-resolution spatial patterns of Soil Organic Carbon content derivedfrom low-altitude aerial multi-band imagery on the Broadbalk WheatExperiment at Rothamsted,UKEmilien Aldana Jague (1), Keith Goulding (2), Goswin Heckrath (3), Andy Macdonald (2), Paul Poulton (2),Antoine Stevens (1), Bas Van Wesemael (1), and Kristof Van Oost (1)(1) George Lemaitre Center for Earth and Climate, Earth and Life Institute, Université Catholique de Louvain,Louvain-La-Neuve, Belgium, (2) Sustainable Soils and Grassland System Department, Rothamsted Research, Harpenden,Herts, AL5 2JQ United Kingdom, (3) Aarhus university, Department of Agroecology - Blichers Allé 20, Postbox 50 DK-8830Tjele, DenmarkSoil organic C (SOC) contents in arable landscapes change as a function of management, climate and topography(Johnston et al, 2009). Traditional methods to measure soil C stocks are labour intensive, time consuming andexpensive. Consequently, there is a need for developing low-cost methods for monitoring SOC contents inagricultural soils. Remote sensing methods based on multi-spectral images may help map SOC variation in surfacesoils. Recently, the costs of both Unmanned Aerial Vehicles (UAVs) and multi-spectral cameras have droppeddramatically, opening up the possibility for more widespread use of these tools for SOC mapping. Long-termfield experiments with distinct SOC contents in adjacent plots, provide a very useful resource for systematicallytesting remote sensing approaches for measuring SOC. This study focusses on the Broadbalk Wheat Experimentat Rothamsted (UK). The Broadbalk experiment started in 1843. It is widely acknowledged to be the oldestcontinuing agronomic field experiment in the world. The initial aim of the experiment was to test the effects ofdifferent organic manures and inorganic fertilizers on the yield of winter wheat. The experiment initially contained18 strips, each about 320m long and 6m wide, separated by paths of 1.5-2.5m wide. The strips were subsequentlydivided into ten sections (>180 plots) to test the effects of other factors (crop rotation, herbicides, pesticides etc.).The different amounts and combinations of mineral fertilisers (N,P,K,Na & Mg) and Farmyard Manure (FYM)applied to these plots for over 160 years has resulted in very different SOC contents in adjacent plots, rangingbetween 0.8% and 3.5%. In addition to large inter-plot variability in SOC there is evidence of within-plot trendsrelated to the use of discard areas between plots and movement of soil as a result of ploughing.The objectives of this study are (i) to test whether low-altitude multi-band imagery can be used to accuratelypredict spatial patterns of SOC at a very high spatial resolution (< 10cm) (ii) to quantify the uncertainties onthe predictions and potential of the method for monitoring SOC changes in experimental plots. This study usedmulti-band images with wavelengths between 450-1000nm taken at low altitude and at the landscape scale with aTetracam Mini-MCA6. Images were taken of plots on section 9 on Broadbalk (continuous wheat) in November2013 using a UAV-platform (Octocopter) at an altitude of 120m. The different images obtained were correctedfor vignetting, noise and geometric deformation then stitched and georeferenced; the radiance was convertedfor reflectance with white calibration panels. Also, the vegetation effect (a cover mean of 10%) was removedby linear spectral unmixing. Finally, the spectra was calibrated and validated with SOC (0-5cm) measurementsfrom 57 soil samples (37 calibration samples and 20 for the validation) taken along transect. The resulting map ofSOC contents has a resolution of 10cm and an associated error of about the same magnitude as that for routinelaboratory analyses (i.e. 0.2%). The map shows clear differences between plots relating to the different long-termfertilizer and organic manure inputs.

High-resolution spatial patterns of soil organic carbon content derived from low-altitude aerial multi-band imagery on the Broadbalk Wheat Experiment at Rothamsted, UK

https://repository.rothamsted.ac.uk/download/a5d277b5c04c5e960c2d5d54a1ab978d6451bee48c85cd3bff59e150d531c84d/3444968/EGU2014-12063-2.pdf

High-resolution spatial patterns of soil organic carbon content derived from low-altitude aerial multi-band imagery on the Broadbalk Wheat Experiment at Rothamsted, UK

Abstract

Similar works

Full text

Available Versions

Rothamsted Repository