Potential of Sentinel-2 spectral configuration to assess rangeland quality

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dc.contributor.author Ramoelo, Abel
dc.contributor.author Cho, Moses
dc.contributor.author Mathieu, Renaud
dc.contributor.author Skidmore, Andrew K.
dc.date.accessioned 2016-09-19T09:08:22Z
dc.date.available 2016-09-19T09:08:22Z
dc.date.issued 2015-08-07
dc.description.abstract Sentinel-2 is intended to improve vegetation assessment at local to global scales. Today, estimation of leaf nitrogen (N) as an indicator of rangeland quality is possible using hyperspectral systems. However, few studies based on commercial imageries have shown a potential of the red-edge band to accurately predict leaf N at the broad landscape scale. We intend to investigate the utility of Sentinel-2 for estimating leaf N concentration in the African savanna. Grass canopy reflectance was measured using the analytical spectral device (ASD) in concert with leaf sample collections for leaf N chemical analysis. ASD reflectance data were resampled to the spectral bands of Sentinel-2 using published spectral response functions. Random forest (RF), partial least square regression (PLSR), and stepwise multiple linear regression (SMLR) were used to predict leaf N using all 13 bands. Using leave-one-out cross validation, the RF model explained 90% of leaf N variation, with a root mean square error of 0.04 (6% of the mean), which is higher than that of PLSR and SMLR. Using RF, spectral bands centered at 705 nm (red edge) and two shortwave infrared bands centered at 2190 and 1610 nm were found to be the most important bands in predicting leaf N. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.librarian am2016 en_ZA
dc.description.sponsorship The Council for Scientific and Industrial Research, Department of Science and Technology (DST), National Research Foundation’s Thuthuka program, University of Twente’s Faculty of Geo-information Science and Earth Observation (UTITC), and Wageningen University. en_ZA
dc.description.uri http://www.sherpa.ac.uk/romeo/issn/1931-3195/ en_ZA
dc.identifier.citation Ramoelo, A, Cho, M, Mathieu, R & Skidmoree, AK 2015, 'Potential of Sentinel-2 spectral configuration to assess rangeland quality', Journal of Applied Remote Sensing, vol. 9, pp. 094096-1-11. en_ZA
dc.identifier.issn 1931-3195
dc.identifier.other 10.1117/1.JRS.9.094096
dc.identifier.uri http://hdl.handle.net/2263/56746
dc.language.iso en en_ZA
dc.publisher Society of Photo-optical Instrumentation Engineers (SPIE) en_ZA
dc.rights © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) en_ZA
dc.subject Sentinel-2 en_ZA
dc.subject Leaf nitrogen en_ZA
dc.subject WorldView-2 en_ZA
dc.subject RapidEye en_ZA
dc.subject Red-edge band en_ZA
dc.subject Random forest en_ZA
dc.title Potential of Sentinel-2 spectral configuration to assess rangeland quality en_ZA
dc.type Article en_ZA


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