Madonsela, SabeloCho, Moses ANaidoo, LavenMain, Russell SMajozi, Nobuhle P2022-02-252022-02-252021-12Madonsela, S., Cho, M.A., Naidoo, L., Main, R.S. & Majozi, N.P. 2021. Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages. <i>Journal of Spatial Science.</i> http://hdl.handle.net/10204/122861449-85961836-5655doi.org/10.1080/14498596.2021.2000898http://hdl.handle.net/10204/12286This study investigated the utility of Sentinel-2 spectral data for estimating leaf area index (LAI), leaf and canopy chlorophyll content of maize at different growth stages. Vegetation indices based on the visible-near infrared and red-edge regions of the spectrum were computed from Sentinel-2 imagery acquired within one or two days of field data collection. Results showed that green chlorophyll index (CIgreen) and red-edge chlorophyll index (CIred-edge), using the red-edge variant centred at 705 nm, consistently showed higher relationship to maize LAI with r2 of 0.65 and 0.63 during the early stages of growth, respectively, and an r2 of 0.79 and 0.81 during tassel stage, respectively. Regarding canopy chlorophyll content the results indicated the spectral advantage of the Sentinel-2 sensor with the presence of two red-edge bands for continuous monitoring of maize chlorophyll content. Overall, the results indicated that maize biophysical variables can be monitored at satellite level using Sentinel-2 data.AbstractenChlorophyll contentLeaf Area IndexLAIMaize growth stagesSentinel-2Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stagesArticleMadonsela, S., Cho, M. A., Naidoo, L., Main, R. S., & Majozi, N. P. (2021). Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages. <i>Journal of Spatial Science</i>, http://hdl.handle.net/10204/12286Madonsela, Sabelo, Moses A Cho, Laven Naidoo, Russell S Main, and Nobuhle P Majozi "Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages." <i>Journal of Spatial Science</i> (2021) http://hdl.handle.net/10204/12286Madonsela S, Cho MA, Naidoo L, Main RS, Majozi NP. Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages. Journal of Spatial Science. 2021; http://hdl.handle.net/10204/12286.TY - Article AU - Madonsela, Sabelo AU - Cho, Moses A AU - Naidoo, Laven AU - Main, Russell S AU - Majozi, Nobuhle P AB - This study investigated the utility of Sentinel-2 spectral data for estimating leaf area index (LAI), leaf and canopy chlorophyll content of maize at different growth stages. Vegetation indices based on the visible-near infrared and red-edge regions of the spectrum were computed from Sentinel-2 imagery acquired within one or two days of field data collection. Results showed that green chlorophyll index (CIgreen) and red-edge chlorophyll index (CIred-edge), using the red-edge variant centred at 705 nm, consistently showed higher relationship to maize LAI with r2 of 0.65 and 0.63 during the early stages of growth, respectively, and an r2 of 0.79 and 0.81 during tassel stage, respectively. Regarding canopy chlorophyll content the results indicated the spectral advantage of the Sentinel-2 sensor with the presence of two red-edge bands for continuous monitoring of maize chlorophyll content. Overall, the results indicated that maize biophysical variables can be monitored at satellite level using Sentinel-2 data. DA - 2021-12 DB - ResearchSpace DP - CSIR J1 - Journal of Spatial Science KW - Chlorophyll content KW - Leaf Area Index KW - LAI KW - Maize growth stages KW - Sentinel-2 LK - https://researchspace.csir.co.za PY - 2021 SM - 1449-8596 SM - 1836-5655 T1 - Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages TI - Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages UR - http://hdl.handle.net/10204/12286 ER -25329