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Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2

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dc.contributor.author Cho, Moses A
dc.contributor.author Ramoelo, Abel
dc.contributor.author Mutanga, O
dc.contributor.author Van Deventer, Heidi
dc.contributor.author Debba, Pravesh
dc.contributor.author Mathieu, Renaud SA
dc.date.accessioned 2013-05-03T12:19:58Z
dc.date.available 2013-05-03T12:19:58Z
dc.date.issued 2012-11
dc.identifier.citation Cho, M.A, Ramoelo, A, Mutanga, O, Van Deventer, H, Debba, P and Mathieu, R. 2012. Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2. In: 9th International Conference of the African Association of Remote Sensing and the Environment, El Jadida, Morocco, 29 October-2 November 2012 en_US
dc.identifier.uri http://hdl.handle.net/10204/6727
dc.description 9th International Conference of the African Association of Remote Sensing and the Environment, El Jadida, Morocco, 29 October-2 November 2012 en_US
dc.description.abstract The aims of this study were to assess utility of RapidEye imagery for predicting leaf nitrogen concentration and evaluate the effects of forest fragmentation on leaf nitrogen distribution in the Dukuduku forest, KwaZulu Natal, South Africa. RapidEye and WorldView-2 images were acquired for the study area. Leaf nitrogen concentration was accurately (R2 = 0.52, p < 0.05) estimated using the MERIS terrestrial vegetation index (MTCI) derived from the RapidEye image. Land cover types were accurately classified (overall accuracy = 85%) using WorldView-2 imagery. Differences in leaf nitrogen concentration between land cover types were then analysed. Remnant forest patches showed higher leaf nitrogen than grassland patches in the degraded landscape. In conclusion, foliar nitrogen can be mapped at peak productivity using RapidEye sensor. Forest fragmentation significantly affects leaf nitrogen concentration. en_US
dc.language.iso en en_US
dc.publisher AARSE en_US
dc.relation.ispartofseries Workflow;10624
dc.subject Leaf nitrogen en_US
dc.subject Fragmented subtropical forest en_US
dc.subject Remote sensing en_US
dc.title Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2 en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Cho, M. A., Ramoelo, A., Mutanga, O., Van Deventer, H., Debba, P., & Mathieu, R. S. (2012). Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2. AARSE. http://hdl.handle.net/10204/6727 en_ZA
dc.identifier.chicagocitation Cho, Moses A, Abel Ramoelo, O Mutanga, Heidi Van Deventer, Pravesh Debba, and Renaud SA Mathieu. "Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2." (2012): http://hdl.handle.net/10204/6727 en_ZA
dc.identifier.vancouvercitation Cho MA, Ramoelo A, Mutanga O, Van Deventer H, Debba P, Mathieu RS, Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2; AARSE; 2012. http://hdl.handle.net/10204/6727 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Cho, Moses A AU - Ramoelo, Abel AU - Mutanga, O AU - Van Deventer, Heidi AU - Debba, Pravesh AU - Mathieu, Renaud SA AB - The aims of this study were to assess utility of RapidEye imagery for predicting leaf nitrogen concentration and evaluate the effects of forest fragmentation on leaf nitrogen distribution in the Dukuduku forest, KwaZulu Natal, South Africa. RapidEye and WorldView-2 images were acquired for the study area. Leaf nitrogen concentration was accurately (R2 = 0.52, p < 0.05) estimated using the MERIS terrestrial vegetation index (MTCI) derived from the RapidEye image. Land cover types were accurately classified (overall accuracy = 85%) using WorldView-2 imagery. Differences in leaf nitrogen concentration between land cover types were then analysed. Remnant forest patches showed higher leaf nitrogen than grassland patches in the degraded landscape. In conclusion, foliar nitrogen can be mapped at peak productivity using RapidEye sensor. Forest fragmentation significantly affects leaf nitrogen concentration. DA - 2012-11 DB - ResearchSpace DP - CSIR KW - Leaf nitrogen KW - Fragmented subtropical forest KW - Remote sensing LK - https://researchspace.csir.co.za PY - 2012 T1 - Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2 TI - Relevance of new multispectral imagery for assessing tropical forest disturbance: RapidEye and WorldView-2 UR - http://hdl.handle.net/10204/6727 ER - en_ZA


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