Ramoelo, AbelCho, Moses AMathieu, Renaud SASkidmore, AK2015-12-182015-12-182015-08Ramoelo, A., Cho, M.A., Mathieu, R. and Skidmore, A.K. 2015. The potential of Sentinel-2 spectral configuration to assess rangeland Quality. Journal of Applied Remote Sensing, Vol. 9(1), pp. 1-11http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=2427370http://hdl.handle.net/10204/8333Copyright: 2015 SPIE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. The definitive version of the work is published in the Journal of Magnetism and Magnetic Materials, Vol. 9(1), pp 1–11Sentinel-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.enSentinel-2Leaf nitrogenWorldView-2RapidEyeRed edge bandRandom forestRangeland qualityArticleRamoelo, A., Cho, M. A., Mathieu, R. S., & Skidmore, A. (2015). The potential of Sentinel-2 spectral configuration to assess rangeland quality. http://hdl.handle.net/10204/8333Ramoelo, Abel, Moses A Cho, Renaud SA Mathieu, and AK Skidmore "The potential of Sentinel-2 spectral configuration to assess rangeland quality." (2015) http://hdl.handle.net/10204/8333Ramoelo A, Cho MA, Mathieu RS, Skidmore A. The potential of Sentinel-2 spectral configuration to assess rangeland quality. 2015; http://hdl.handle.net/10204/8333.TY - Article AU - Ramoelo, Abel AU - Cho, Moses A AU - Mathieu, Renaud SA AU - Skidmore, AK AB - 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. DA - 2015-08 DB - ResearchSpace DP - CSIR KW - Sentinel-2 KW - Leaf nitrogen KW - WorldView-2 KW - RapidEye KW - Red edge band KW - Random forest KW - Rangeland quality LK - https://researchspace.csir.co.za PY - 2015 T1 - The potential of Sentinel-2 spectral configuration to assess rangeland quality TI - The potential of Sentinel-2 spectral configuration to assess rangeland quality UR - http://hdl.handle.net/10204/8333 ER -