Gama, MJCho, Moses AChirwa, PMasemola, Cecilia2019-08-142019-08-142019-03Gama, M.J., Cho, M.A., Chirwa, P. & Masemola, C. 2019. Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery. International Journal of Applied Earth Observation and Geoinformation, vol. 75: 141-150. doi:10.1016/j.jag.2018.10.0130303-2434https://www.mendeley.com/catalogue/estimating-mineral-content-indigenous-browse-species-using-laboratory-spectroscopy-sentinel2-imagery/https://www.sciencedirect.com/science/article/pii/S0303243418306664https://doi.org/10.1016/j.jag.2018.10.013http://hdl.handle.net/10204/11084Copyright: 2019 Elsevier. Due to copyright restrictions, the attached PDF file only contains the pre-print version of the full-text item. For access to the full-text item, please consult the publisher's website.Trees provide low-cost organic inputs, with the potential to improve livelihoods for rural communities. Understanding foliar nutrients of tree species is crucial for integration of trees into agroecosystems. The study explored nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca) concentrations of nine browse species collected from the bushveld region of South Africa using wet analysis and laboratory spectroscopy in the region 400–2500nm, along with partial least squares (PLS) regression. We further explore the relationship between canopy reflectance of Sentinel-2 image and foliar N, P, K & Ca. Laboratory spectroscopy was significant for N estimation, while satellite imagery also revealed useful information about the estimation of nitrogen at landscape level. Nitrogen was highly correlated with spectral reflectance (R2=0.72, p<0.05) for winter and (R2=0.88, p<0.05) for summer, whilst prediction of phosphorus potassium and calcium were considered not accurate enough to be of practical use. Modelling the relationship using Sentinel-2 data showed lower correlations for nitrogen (R2=0.44, p<0.05) and the other nutrients when compared to the dried samples. The findings indicate that there is potential to assess and monitor resource quality of indigenous trees using nitrogen as key indicator. This multi-level remote sensing approach has promise for providing rapid plant nutrient analyses at different scales.enContinuum removalHyperspectral dataLaboratory spectroscopyLeaf nitrogenMultispectral dataPartial least squares regressionSentinel-2Wet analysisArticleGama, M., Cho, M. A., Chirwa, P., & Masemola, C. (2019). Estimating mineral content of indigenous browse species using Laboratory spectroscopy and Sentinel-2 imagery. http://hdl.handle.net/10204/11084Gama, MJ, Moses A Cho, P Chirwa, and Cecilia Masemola "Estimating mineral content of indigenous browse species using Laboratory spectroscopy and Sentinel-2 imagery." (2019) http://hdl.handle.net/10204/11084Gama M, Cho MA, Chirwa P, Masemola C. Estimating mineral content of indigenous browse species using Laboratory spectroscopy and Sentinel-2 imagery. 2019; http://hdl.handle.net/10204/11084.TY - Article AU - Gama, MJ AU - Cho, Moses A AU - Chirwa, P AU - Masemola, Cecilia AB - Trees provide low-cost organic inputs, with the potential to improve livelihoods for rural communities. Understanding foliar nutrients of tree species is crucial for integration of trees into agroecosystems. The study explored nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca) concentrations of nine browse species collected from the bushveld region of South Africa using wet analysis and laboratory spectroscopy in the region 400–2500nm, along with partial least squares (PLS) regression. We further explore the relationship between canopy reflectance of Sentinel-2 image and foliar N, P, K & Ca. Laboratory spectroscopy was significant for N estimation, while satellite imagery also revealed useful information about the estimation of nitrogen at landscape level. Nitrogen was highly correlated with spectral reflectance (R2=0.72, p<0.05) for winter and (R2=0.88, p<0.05) for summer, whilst prediction of phosphorus potassium and calcium were considered not accurate enough to be of practical use. Modelling the relationship using Sentinel-2 data showed lower correlations for nitrogen (R2=0.44, p<0.05) and the other nutrients when compared to the dried samples. The findings indicate that there is potential to assess and monitor resource quality of indigenous trees using nitrogen as key indicator. This multi-level remote sensing approach has promise for providing rapid plant nutrient analyses at different scales. DA - 2019-03 DB - ResearchSpace DP - CSIR KW - Continuum removal KW - Hyperspectral data KW - Laboratory spectroscopy KW - Leaf nitrogen KW - Multispectral data KW - Partial least squares regression KW - Sentinel-2 KW - Wet analysis LK - https://researchspace.csir.co.za PY - 2019 SM - 0303-2434 T1 - Estimating mineral content of indigenous browse species using Laboratory spectroscopy and Sentinel-2 imagery TI - Estimating mineral content of indigenous browse species using Laboratory spectroscopy and Sentinel-2 imagery UR - http://hdl.handle.net/10204/11084 ER -