Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100686
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Institute-
dc.creatorIrteza, SMen_US
dc.creatorNichol, JEen_US
dc.creatorShi, Wen_US
dc.creatorAbbas, Sen_US
dc.date.accessioned2023-08-11T03:12:39Z-
dc.date.available2023-08-11T03:12:39Z-
dc.identifier.issn2509-9426en_US
dc.identifier.urihttp://hdl.handle.net/10397/100686-
dc.language.isoenen_US
dc.publisherSpringer Chamen_US
dc.rights© King Abdulaziz University and Springer Nature Switzerland AG 2020en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s41748-020-00175-5en_US
dc.subjectFLDen_US
dc.subjectHong Kongen_US
dc.subjectHyperspectralen_US
dc.subjectNDVIen_US
dc.subjectSIFen_US
dc.subjectTropical foresten_US
dc.titleNDVI and fluorescence indicators of seasonal and structural changes in a tropical forest successionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage127en_US
dc.identifier.epage133en_US
dc.identifier.volume5en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1007/s41748-020-00175-5en_US
dcterms.abstractIn this research, the Sun-induced Chlorophyll Fluorescence (SIF) signal was derived from field-based spectrometers and Hyperion satellite imagery of Hong Kong’s Country Parks by applying the Fraunhofer Line Difference (FLD) method. Due to high levels of atmospheric aerosols and water vapour in the study area, a modified FLD method (FLD-M) was tested for its ability to deliver improved SIF estimates by cancelling out the effects of atmospheric scattering. The SIF results were compared with the Normalised Difference Vegetation Index (NDVI), and analysed according to seasonality, five successional age groups of forest and monoculture exotic plantations. Results indicate that SIF methods are more sensitive to seasonal phenology and diurnal fluctuations than the NDVI, indicating its greater sensitivity to photosynthetic activity. The SIF responds earlier and stronger, to senescence in winter and green-up in summer. Field spectrometer data showed NDVI to be unresponsive to time of day, whereas fluorescence responds to changes in sunlight intensity from 10:15 a.m. to 02:00 p.m. Both seasonal and diurnal results indicate that SIF is better than NDVI in representing the subtle changes in vegetation conditions. Although both NDVI and SIF distinguish between the four woody structural stages of vegetation, only SIF can distinguish between forest and exotic plantations, the difference being greater in the dry season. The study provides an improved operational remote sensing methodology for investigating the health status of tropical secondary forest, where atmospheric turbidity is high.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEarth systems and environment, Jan. 2021, v. 5, no. 1, p. 127-133en_US
dcterms.isPartOfEarth systems and environmenten_US
dcterms.issued2021-01-
dc.identifier.scopus2-s2.0-85090758574-
dc.identifier.eissn2509-9434en_US
dc.description.validate202305 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0143-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS43053200-
dc.description.oaCategoryGreen (AAM)en_US
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