Seasonal monitoring of biochemical variables in natural rangelands using Sentinel-1 and Sentinel-2 data

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dc.contributor.author Rapiya, Monde
dc.contributor.author Ramoelo, Abel
dc.contributor.author Truter, Wayne Frederick
dc.date.accessioned 2024-07-26T06:07:37Z
dc.date.available 2024-07-26T06:07:37Z
dc.date.issued 2024
dc.description.abstract Rangelands are natural ecosystems that serve as essential sources of forage for domesticated livestock and wildlife. Therefore, accurately mapping nutrient levels in rangelands is crucial for sustainable development and effective management of grazing animals. Remote sensing tools offer a reliable means to explore nutrient concentrations across large spatial areas. This study aimed to estimate and map seasonal foliar concentrations of nitrogen (N), phosphorus, and neutral detergent fibre (NDF) in mesic tropical rangelands of Limpopo using Sentinel-1, Sentinel-2, and the integration of S1 and S2 data. Fieldwork was conducted to collect samples for seasonal foliar nutrients (N, P, and NDF) during early-summer (November-January 2020), winter (July-August 2021), and late-summer (February-March 2022). Various conventional and red-edge-based vegetation indices were computed. The results demonstrate that integration data from S1 and S2 can effectively estimate and predict foliar concentrations of N, P, and NDF in mesic rangelands throughout the seasons, achieving R2 values of 0.76, 0.78, and 0.71, with corresponding RMSE values of 0.13, 0.04, and 2.52. Notably, red-edge variables emerged as the most significant parameters for predicting seasonal N, P, and NDF concentrations. Additionally, factors such as season and slope significantly influenced the distribution and occurrence of these foliage nutrients, with higher foliage production observed during late-summer and on steeper slopes. The study concludes that the integration of S1 and S2 data can effectively monitor the seasonal dynamics of biochemical parameters. This finding holds significant implications for policymakers and rangeland users, offering a comprehensive understanding of the intricate variations within rangeland ecosystems. Further research could expand on these findings by applying the knowledge to various datasets, exploring different rangelands, and examining additional ecological factors such as slope altitude to detect foliar fibre biochemicals. Finally, the applications of this research extend beyond individual properties, providing practical tools for sustainable rangeland management and informed decision-making in resource utilization and conservation. en_US
dc.description.department Geography, Geoinformatics and Meteorology en_US
dc.description.department Plant Production and Soil Science en_US
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-15:Life on land en_US
dc.description.uri http://www.tandfonline.com/loi/tres20 en_US
dc.identifier.citation Monde Rapiya, Abel Ramoelo & Wayne Truter (2024) Seasonal monitoring of biochemical variables in natural rangelands using Sentinel-1 and Sentinel-2 data, International Journal of Remote Sensing, 45:14, 4737-4763, DOI: 10.1080/01431161.2024.2368929. en_US
dc.identifier.issn 0143-1161 (print)
dc.identifier.issn 1366-5901 (online)
dc.identifier.other 10.1080/01431161.2024.2368929
dc.identifier.uri http://hdl.handle.net/2263/97258
dc.language.iso en en_US
dc.publisher Taylor and Francis en_US
dc.rights © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License. en_US
dc.subject Biochemical parameters en_US
dc.subject Forage quality en_US
dc.subject Rangelands en_US
dc.subject Remote sensing en_US
dc.subject Season en_US
dc.subject SDG-15: Life on land en_US
dc.title Seasonal monitoring of biochemical variables in natural rangelands using Sentinel-1 and Sentinel-2 data en_US
dc.type Article en_US


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