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Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages

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dc.contributor.author Madonsela, Sabelo
dc.contributor.author Cho, Moses A
dc.contributor.author Naidoo, Laven
dc.contributor.author Main, Russell S
dc.contributor.author Majozi, Nobuhle P
dc.date.accessioned 2022-02-25T09:36:26Z
dc.date.available 2022-02-25T09:36:26Z
dc.date.issued 2021-12
dc.identifier.citation Madonsela, 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/10204/12286 en_ZA
dc.identifier.issn 1449-8596
dc.identifier.issn 1836-5655
dc.identifier.uri doi.org/10.1080/14498596.2021.2000898
dc.identifier.uri http://hdl.handle.net/10204/12286
dc.description.abstract 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. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://www.tandfonline.com/doi/full/10.1080/14498596.2021.2000898 en_US
dc.source Journal of Spatial Science en_US
dc.subject Chlorophyll content en_US
dc.subject Leaf Area Index en_US
dc.subject LAI en_US
dc.subject Maize growth stages en_US
dc.subject Sentinel-2 en_US
dc.title Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages en_US
dc.type Article en_US
dc.description.pages 13pp en_US
dc.description.note © 2021 Mapping Science Institute, Australia and Surveying and Spatial Science Institute. 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: https://www.tandfonline.com/doi/full/10.1080/14498596.2021.2000898 en_US
dc.description.cluster Advanced Agriculture & Food en_US
dc.description.impactarea Precision Agriculture en_US
dc.identifier.apacitation Madonsela, 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/10204/12286 en_ZA
dc.identifier.chicagocitation Madonsela, 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/10204/12286 en_ZA
dc.identifier.vancouvercitation Madonsela 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. en_ZA
dc.identifier.ris 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 - en_ZA
dc.identifier.worklist 25329 en_US


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