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The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery / J.R. Dymond in Remote sensing of environment, vol 90 n° 1 (15/03/2004)  

Public [article]  inRemote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 116 - 125 Titre : The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery Type de document : Article/Communication Auteurs : J.R. Dymond, Auteur ; J.D. Shepherd, Auteur Année de publication : 2004 Article en page(s) : pp 116 - 125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biodiversité [Termes IGN] carte de la végétation [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] éclairement énergétique [Termes IGN] Fagus (genre) [Termes IGN] feuillu [Termes IGN] forêt [Termes IGN] image Landsat-ETM+ [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] Nouvelle-Zélande [Termes IGN] Pinophyta [Termes IGN] réflectance végétale Résumé : (Auteur) In order to improve biodiversity management in the Wellington region of New Zealand, it is necessary to make an inventory of the indigenous forest-where is it, and what type is it? The single greatest impediment to making a spatially (i.e., 1:50,000 scale) and thematically detailed inventory from satellite imagery has been the topography of the three mountainous ranges in the Wellington region. The effective irradiance of incoming light varies with slope orientation, as does the proportion of light that is reflected towards the satellite (the bidirectional reflectance). In this paper, we show how satellite imagery may be processed to standardised spectral reflectance, which is a property of the vegetation alone, independent of sun position, slope, and view direction. Because of this, the use of automatic methods to map vegetation and provide spatially and thematically detailed maps is greatly simplified. Using this method, we produce a land-cover map of the Wellington region, with eight classes, to a classification accuracy of approximately 95%. We also show how the proportions of conifer, broadleaved, and beech trees may be determined for indigenous forest to provide a framework for forest-type inventory. Numéro de notice : A2004-131 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.013 En ligne : https://doi.org/10.1016/j.rse.2003.11.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26658 [article]

Application of remote sensing to enhance the control of wildlife associated mycobacterium bovis infection / J.S. Mckenzie in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 2 (February 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 2 (February 2002) . - pp 153 - 159 Titre : Application of remote sensing to enhance the control of wildlife associated mycobacterium bovis infection Type de document : Article/Communication Auteurs : J.S. Mckenzie, Auteur ; R.S. Morris, Auteur ; D.U. Pfeiffer, Auteur ; J.R. Dymond, Auteur Année de publication : 2002 Article en page(s) : pp 153 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biotope [Termes IGN] cartographie thématique [Termes IGN] classification [Termes IGN] image multibande [Termes IGN] image SPOT [Termes IGN] prévention des risques [Termes IGN] risque sanitaire Résumé : (Auteur) The brushtail possum (Trichosurus vulpecula) is a wildlife vector for tuberculosis (TB) caused by Mycobacterium bovis in New Zealand. Supervised automatic classification of a SPOT3 multi spectral image was used to generate a vegetation map, which was used together with slope data to model the risk of TB-infected possums being present in habitat patches. The vegetation data were also used to identify habitat patterns which, together with other geographic variables, were incorporated into logistic regression models to identify predictors of possum TB risk of farms. The impact of the predicted possum TB risk data on the cost-effectiveness of vector control programs at both individual farm and larger regional control areas is discussed, plus issues associated with the uptake of the models by operational managers. Numéro de notice : A2002-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/february/2002_feb_153- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21930 [article]

Nonparametric modeling of radiance in hill country / J.R. Dymond in Remote sensing of environment, vol 25 n° 1 (01/06/1988)  

Public [article]  inRemote sensing of environment > vol 25 n° 1 (01/06/1988) . - pp 3 - 21 Titre : Nonparametric modeling of radiance in hill country Type de document : Article/Communication Auteurs : J.R. Dymond, Auteur Année de publication : 1988 Article en page(s) : pp 3 - 21 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] angle [Termes IGN] classificateur non paramétrique [Termes IGN] forêt [Termes IGN] image numérique [Termes IGN] montagne [Termes IGN] Nouvelle-Zélande [Termes IGN] paturage [Termes IGN] photographie aérienne [Termes IGN] Pinophyta [Termes IGN] radiance [Termes IGN] topographie locale Numéro de notice : A1988-156 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/0034-4257(88)90038-7 En ligne : https://doi.org/10.1016/0034-4257(88)90038-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24735 [article]