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Termes IGN > environnement > écologie
écologie
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Bionomie, Influence du milieu. Science de l'environnement. >> Aspect de l'environnement, Biologie des populations, Catastrophe écologique, Écologie animale, Écologie végétale, Écosystème, Environnement, Habitat (écologie). >>Terme(s) spécifique(s) : Adaptation (biologie), Socialisme et écologie, Macroécologie, Autoécologie, Bioclimatologie, Biome, Éco-industrie, Écologie agricole, Écologie appliquée, Écologie chimique, Écologie moléculaire, Écologie spatiale, Écophysiologie, Géoécologie, Hétérogénéité écologique, Intégrité écologique, Paléoécologie, Radioécologie, Restauration écologique, Succession écologique. Equiv. LCSH : Ecology. Domaine(s) : 570. Voir aussi |
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Predicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Predicting mammal species richness and abundance using multi-temporal NDVI Type de document : Article/Communication Auteurs : B.O. Oindo, Auteur Année de publication : 2002 Article en page(s) : pp 623 - 629 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] indice de végétation
[Termes IGN] Kenya
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) There is need to map indicators of biodiversity such as species richness and abundance of individuals in order to predict where species loss is occurring. Species richness and abundance have been hypothesized to increase with ecosystem productivity. Moreover, productivity of ecosystems varies in space and time, and this heterogeneity is also hypothesized to influence species richness and abundance of individuals. Ecosystem productivity may be estimated using remotely sensed data, and researchers have specifically proposed the Advanced Very High Resolution Radiometer-Normalized Difference Vegetation Index (AVHRR-NDVI). Interannual average NDw and its variability (standard deviation) were correlated with large mammal species richness and abundance of individuals at a landscape scale in Kenya. The biodiversity indicators associated negatively with interannual average NDW and positively with variability of NDvi. Understanding these relationships can help in estimating changes in mammalian species richness and abundance in response to global climate change. Numéro de notice : A2002-135 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_623-629. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22050
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 623 - 629[article]Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery / M. Ji in Geocarto international, vol 17 n° 1 (March - May 2002)
[article]
Titre : Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery Type de document : Article/Communication Auteurs : M. Ji, Auteur Année de publication : 2002 Article en page(s) : pp 21 - 30 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Afrique (géographie politique)
[Termes IGN] écosystème
[Termes IGN] flore locale
[Termes IGN] image multibande
[Termes IGN] image multitemporelle
[Termes IGN] image NOAA-AVHRR
[Termes IGN] logique floue
[Termes IGN] modélisation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] télédétection spatialeRésumé : (Auteur) Conventional methods of deriving global or continental vegetation maps from the National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVHRR) time series data are based on two-value Boolean logic, which cannot properly model the so-called ecotone, the transition zone between adjacent ecosystems. New methods and data models that have been developed on the basis of fuzzy logic to address the "mixedpixel " issue in multi-spectral imagery can also be used with multi-temporal imagery to handle the mixture of vegetation types within an ecotone. This study introduces the concept of semantic space and its transformation from spectral feature space, which utilizes a fuzzy logic approach to characterize the continuum of vegetation communities in the African continent from AVHRR multi-temporal (12 months for three years from 1986 to 1988) NDVI data. The fuzzy procedure was based an the Fuzzy c-Means (FCM) algorithm with significant modifications to improve processing speed for handling large volumes of data. A second-order mapping approach was also devised to explicitly represent subdominant vegetative coverage in ecotones and other heterogeneous regions. Comparisons between a Sub-Saharan African Vegetation Map compiled by the International Union for Conservation of Nature (IUCN) in 1986 and the maps derived from this study demonstrated that fuzzy modeling and classification might provide a better and more realistic representation of the vegetative characteristics of the region. Numéro de notice : A2002-121 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542222 En ligne : https://doi.org/10.1080/10106040208542222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22036
in Geocarto international > vol 17 n° 1 (March - May 2002) . - pp 21 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-02011 RAB Revue Centre de documentation En réserve L003 Disponible 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)
[article]
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 sanitaireRésumé : (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
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 2 (February 2002) . - pp 153 - 159[article]Mapping potential risk of valley fever outbreaks in African savannas using vegetation index time series data / A. Anyamba in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 2 (February 2002)
[article]
Titre : Mapping potential risk of valley fever outbreaks in African savannas using vegetation index time series data Type de document : Article/Communication Auteurs : A. Anyamba, Auteur ; K.J. Linthicum, Auteur ; R. Mahoney, Auteur ; C.J. Tucker, Auteur ; P.W. Kelley, Auteur Année de publication : 2002 Article en page(s) : pp 137 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Afrique subsaharienne
[Termes IGN] biotope
[Termes IGN] cartographie des risques
[Termes IGN] cartographie thématique
[Termes IGN] image NOAA-AVHRR
[Termes IGN] maladie tropicale
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] prévention des risques
[Termes IGN] risque sanitaire
[Termes IGN] savane
[Termes IGN] zone à risqueRésumé : (Auteur) Rift Valley Fever (RVF) outbreaks in East Africa are closely coupled with above normal rainfall that is associated with the occurrence of the warm phase of the El Nino/Southern Oscillation (ENSO) phenomenon. Outbreaks elsewhere in central and southern Africa are also linked to elevated rainfall patterns. Major RVF activity has been reported to occur throughout much of sub-Saharan Africa, except in areas with extensive tropical forest. In this study we used normalized difference vegetation index (NDVI) time-series data derived from the Advanced Very High Resolution Radiometer (AVHHR) instrument on polar orbiting National Oceanographic and Atmospheric Administration (NOAA) satellites to map areas with a potential for an RVF outbreak. A 19-year NDVI climatology was created and used to discriminate between areas with tropical forest, savanna, and desert. Because most RVF outbreaks have occurred in regions dominated by savanna vegetation, we created a mask to identify those areas where RVF would likely occur within the savanna ecosystems. NDVI anomalies were then calculated for the entire time series from July 1981 to the July 2000. Subsequently, we developed a methodology that detects areas with persistent positive NDVI anomalies (greater than + 0.1 NDVI units) using a three-month moving window to flag regions at greatest risk. Algorithms were designed to account for periods of extended above normal NDVI (by inference rainfall) and to consider the complex life cycle of mosquitoes that maintain and transmit RVF virus to domestic animals and people. We present results for different ENSO warm- and cold-event periods. The results indicate that regions of potential outbreaks have occurred predominantly during warm ENSO events in East Africa and during cold ENSO events in southern Africa. Results provide a likely historical reconstruction of areas where RVF may have occurred during the last 19 years. There is a close agreement between confirmed. Numéro de notice : A2002-012 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_137- [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21929
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 2 (February 2002) . - pp 137 - 146[article]Africa environment outlook / United nations environment programme (2002)
Titre : Africa environment outlook : past present and future perspectives Type de document : Monographie Auteurs : United nations environment programme, Auteur Editeur : Nairobi : United Nations Environment Programme UNEP Année de publication : 2002 Importance : 422 p. Format : 21 x 27 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Environnement
[Termes IGN] Afrique centrale
[Termes IGN] Afrique occidentale
[Termes IGN] Afrique orientale
[Termes IGN] atmosphère terrestre
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] eau potable
[Termes IGN] environnement
[Termes IGN] forêt
[Termes IGN] littoral
[Termes IGN] milieu urbain
[Termes IGN] prévention des risques
[Termes IGN] protection de l'environnement
[Termes IGN] vulnérabilitéNuméro de notice : 18512 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55418 Réservation
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