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scientifique

Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia / M. Lyons in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 71 (July 2012) . - pp 34 - 46 Titre : Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia Type de document : Article/Communication Auteurs : M. Lyons, Auteur ; S. Phinn, Auteur ; C. Roelfsema, Auteur Année de publication : 2012 Article en page(s) : pp 34 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] distribution spatiale [Termes IGN] herbier marin [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-MSS [Termes IGN] image Landsat-TM [Termes IGN] littoral [Termes IGN] occupation du sol [Termes IGN] Queensland (Australie) [Termes IGN] répartition géographique [Termes IGN] série temporelle Résumé : (Auteur) Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are now readily accessible, but are not being fully utilised by management agencies due to the lack of appropriate methods to consistently produce accurate and timely management ready information. This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38 year Landsat image time-series archive (1972–2010). Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) imagery were used without in situ field data input (but still using field knowledge) to produce land and seagrass cover maps every year data were available, resulting in over 60 map products over the 38 year archive. Land cover was mapped annually using vegetation, bare ground, urban and agricultural classes. Seagrass distribution was also mapped annually, and in some years monthly, via horizontal projected foliage cover classes, sand and deep water. Land cover products were validated using aerial photography and seagrass maps were validated with field survey data, producing several measures of accuracy. An average overall accuracy of 65% and 80% was reported for seagrass and land cover products respectively, which is consistent with other studies in the area. This study is the first to show moderate spatial resolution, long term annual changes in land cover and seagrass in an Australian environment, created without the use of in situ data; and only one of a few similar studies globally. The land cover products identify several long term trends; such as significant increases in South East Queensland’s urban density and extent, vegetation clearing in rural and rural-residential areas, and inter-annual variation in dry vegetation types in western South East Queensland. The seagrass cover products show that there has been a minimal overall change in seagrass extent, but that seagrass cover level distribution is extremely dynamic; evidenced by large scale migrations of higher seagrass cover levels and several sudden and significant changes in cover level. These mapping products will allow management agencies to build a baseline assessment of their resources, understand past changes and help inform implementation and planning of management policy to address potential future changes. Numéro de notice : A2012-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.05.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.05.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31792 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2012051	SL	Revue	Centre de documentation	Revues en salle	Disponible

Quantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data / K. Johansen in International Journal of Remote Sensing IJRS, vol 29 n°23 - 24 (December 2008)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 29 n°23 - 24 (December 2008) . - pp 7003 - 7028 Titre : Quantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data Type de document : Article/Communication Auteurs : K. Johansen, Auteur ; S. Phinn, Auteur ; J. Lowry, Auteur ; M. Douglas, Auteur Année de publication : 2008 Article en page(s) : pp 7003 - 7028 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] Australie [Termes IGN] carte d'occupation du sol [Termes IGN] carte de la végétation [Termes IGN] classification barycentrique [Termes IGN] classification dirigée [Termes IGN] classification orientée objet [Termes IGN] déchet organique [Termes IGN] détection de changement [Termes IGN] données de terrain [Termes IGN] image à très haute résolution [Termes IGN] image Quickbird [Termes IGN] indice de végétation [Termes IGN] rivière [Termes IGN] savane [Termes IGN] surveillance de la végétation Résumé : (Auteur) The objectives of this research were: (1) to quantify indicators of riparian condition; and (2) to assess these indicators for detecting change in riparian condition. Two multi-spectral QuickBird images were acquired in 2004 and 2005 for a section of the Daly River in north Australia. These data were collected coincidently with vegetation and geomorphic field data. Indicators of riparian condition, including percentage canopy cover, organic litter, canopy continuity, bank stability, flood damage, riparian zone width and vegetation overhang, were then mapped. Field measurements and vegetation indices were empirically related using regression analysis to develop algorithms for mapping organic litter and canopy cover (R 2 = 0.59-0.78). Using a standard nearest-neighbour algorithm, object-oriented supervised image classification provided thematic information (overall accuracies 81-90%) for mapping riparian zone width and vegetation overhang. Bank stability and flood damage were mapped empirically from a combination of canopy cover information and the image classification products (R 2 = 0.70-0.81). Multi-temporal image analysis of riparian condition indicators (RCIs) demonstrated the advantages of using continuous and discrete data values as opposed to categorical data. This research demonstrates how remote sensing can be used for mapping and monitoring riparian zones in remote tropical savannas and other riparian environments at scales from 1 km to 100s km of stream length. Copyright Taylor & Francis Numéro de notice : A2008-544 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802220201 En ligne : https://doi.org/10.1080/01431160802220201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29614 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-08151	RAB	Revue	Centre de documentation	En réserve L003	Disponible