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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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Estimation of interannual variation in productivity of global vegetation using NDVI data / Z.M. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 16 (August 2004)
[article]
Titre : Estimation of interannual variation in productivity of global vegetation using NDVI data Type de document : Article/Communication Auteurs : Z.M. Chen, Auteur ; I.S. Babiker, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 3139 - 3159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] bilan du carbone
[Termes IGN] biosphère
[Termes IGN] changement climatique
[Termes IGN] dioxyde de carbone
[Termes IGN] forêt tempérée
[Termes IGN] forêt tropicale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] impact sur l'environnement
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] production primaire nette
[Termes IGN] répartition géographique
[Termes IGN] variation saisonnièreRésumé : (Auteur) The interannual variation of global vegetation net primary production (NPP), which is crucial to understanding the role of terrestrial biosphere in the global carbon cycle, is still poorly understood. Currently, remote sensing emerges as a useful tool for estimating NPP through monitoring global vegetation distribution and growth. The objective of this study was to utilize the multi-year monthly Normalized Difference Vegetation Index (NDVI) dataset of 1987-1997 from the Advanced Very High Resolution Radiometer (AVHRR) to investigate the interannual variation in productivity of global vegetation due to climate variation, human activities, and environmental events. A decision tree algorithm based on simple metrics (minimum, maximum, mean and amplitude) was employed to classify the global vegetation from NDVI data and obtain the annual vegetation growth areas. Then, annual NPP was computed using the annual vegetation growth areas and the predefined NPP coefficients given in a 1990 Intergovernmental Panel on Climate Change (IPCQ) report. The NPP exhibited a slightly increasing trend through the 11 years. However, interannual variations were observed to be mainly determined by variation in growth of tropical and temperate evergreen forests. These fluctuations were consistently correlated to El Niño/La Niña events. Although the interannual variation in primary productivity of global vegetation is expected to influence the atmospheric C02 concentration over the one-decade period, it is unlikely to have solely caused the anomalously low growth in 1992-1993. The adopted methodology enabled close examination of variability in vegetation growth at the biome scale as well as at global scale. Numéro de notice : A2004-301 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116032000160435 En ligne : https://doi.org/10.1080/0143116032000160435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26828
in International Journal of Remote Sensing IJRS > vol 25 n° 16 (August 2004) . - pp 3139 - 3159[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-04141 RAB Revue Centre de documentation En réserve L003 Disponible A phase signature for detecting wet subsurface structures using polarimetric L-band SAR / Y. Lasne in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)
[article]
Titre : A phase signature for detecting wet subsurface structures using polarimetric L-band SAR Type de document : Article/Communication Auteurs : Y. Lasne, Auteur ; P. Paillou, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1683 - 1694 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] bande L
[Termes IGN] dune
[Termes IGN] eau souterraine
[Termes IGN] équation intégrale
[Termes IGN] humidité du sol
[Termes IGN] image AIRSAR
[Termes IGN] paléosol
[Termes IGN] phase
[Termes IGN] sable
[Termes IGN] simulation numérique
[Termes IGN] traitement du signal
[Termes IGN] zone arideRésumé : (Auteur) In this paper, we investigate the ability of L-band synthetic aperture radar (SAR) systems to penetrate soils to retrieve information about subsurface wet structures. Our experiment site, the Pyla dune, is a bare sandy area allowing high radar penetration and known to have large wet subsurface structures (paleosoils) at varying depths. Buried paleosoils, which act as moisture tanks, are detectable with radar, since they present a high permittivity due to their water content. By analyzing airborne polarimetric SAR data, we established that a phase signature is correlated to the buried wet palesoils: a phase difference of 23° between the horizontal (HH) and vertical (V V) channels was clearly observed. It allows detection of the paleosoil down to a larger depth (5.2 m) than when only considering HH and HV amplitude signals (3.5 m). In order to confirm this result, field measurements were performed that led to the same observed phase difference. We could fit our observations to the semiempirical model proposed by Oh and Sarabandi, and we reproduced the observed phenomenon using a two-layer integral equation method (IEM) model of the Pyla dune, which was completed by finite-difference time-domain (FDTD) numerical simulations. We show that the soil moisture significantly influences the radar response in terms of phase difference between the copolarised modes. Our study also shows that the single-scattering IEM model reproduces the observed phase difference fairly well for a natural outdoor site when combined to FDTD simulation results. This phase signature could be used as a new tool to map subsurface moisture in arid regions. Numéro de notice : A2004-428 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.830645 En ligne : https://doi.org/10.1109/TGRS.2004.830645 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26955
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 8 (August 2004) . - pp 1683 - 1694[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04081 RAB Revue Centre de documentation En réserve L003 Disponible Two decades of normalized difference vegetation index changes in South America: identifying the imprint of global change / J.M. Paruelo in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
[article]
Titre : Two decades of normalized difference vegetation index changes in South America: identifying the imprint of global change Type de document : Article/Communication Auteurs : J.M. Paruelo, Auteur ; M.F. Garbulsky, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2793 - 2806 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amérique du sud
[Termes IGN] analyse diachronique
[Termes IGN] atmosphère terrestre
[Termes IGN] biome
[Termes IGN] changement climatique
[Termes IGN] couvert végétal
[Termes IGN] forêt équatoriale
[Termes IGN] forêt tempérée
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] photosynthèse
[Termes IGN] production primaire brute
[Termes IGN] savaneRésumé : (Auteur) Estimates of carbon uptake at the continental scale become urgently needed as the role of countries as net sinks or sources of carbon gains political and economic importance. Despite uncertainties related to radiation use efficiency, the amount of photosynthetically active radiation (PAR) intercepted by the canopy is a reliable estimator of primary production. Theoretical and empirical data support the relationship between the Normalized Difference Vegetation Index (NDVI) derived from the Advanced Very High Resolution Radiometer sensor on National Oceanic & Atmospheric Administration satellites and the fraction of PAR intercepted by green canopies. It is shown, for the period 1981-2000, that there is an overall increase in the radiation intercepted by the canopy over South America by 1.3%, with rainforests making the largest absolute contribution (45%), followed by savannas (23%). Under conditions of minimal agricultural use, disturbance and anthropogenic N deposition, humid temperate forests showed the highest proportional increase in NDVI during the last two decades (4.9%). Deserts showed a net reduction in NDVI relative to the 1981-1985 average (-4.4%). The expansion of agriculture over the last two decades was associated with NDVI reductions over subtropical forests. NDVI trends in South American region highlight a biome-dependent imprint of major global change noticeable in only two decades. Numéro de notice : A2004-292 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001619526 En ligne : https://doi.org/10.1080/01431160310001619526 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26819
in International Journal of Remote Sensing IJRS > vol 25 n° 14 (July 2004) . - pp 2793 - 2806[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Mapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)
[article]
Titre : Mapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil Type de document : Article/Communication Auteurs : K.J. Wessels, Auteur ; R.S. de Fries, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 67 - 83 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biodiversité
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification par arbre de décision
[Termes IGN] déboisement
[Termes IGN] fractionnement
[Termes IGN] habitat animal
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-MODIS
[Termes IGN] limite de résolution géométrique
[Termes IGN] occupation du sol
[Termes IGN] Para (Brésil)
[Termes IGN] parc naturel nationalRésumé : (Auteur) The paper investigated the application of MODIS data for mapping regional land cover at moderate resolutions (250 and 500 m), for regional conservation purposes. Land cover maps were generated for two major conservation areas (Greater Yellowstone Ecosystem-GYE, USA and the Pard State, Brazil) using MODIS data and decision tree classifications. The MODIS land cover products were evaluated using existing Landsat TM land cover maps as reference data. The Landsat TM land cover maps were processed to their fractional composition at the MODIS resolution (250 and 500 m). In GYE, the MODIS land cover was very successful at mapping extensive cover types (e.g. coniferous forest and grasslands) and far less successful at mapping smaller habitats (e.g. wetlands, deciduous tree cover) that typically occur in patches that are smaller than the MODIS pixels, but are reported to be very important to biodiversity conservation. The MODIS classification for Pard State was successful at producing a regional forest/non-forest product which is useful for monitoring the extreme human impacts such as deforestation. The ability of MODIS data to map secondary forest remains to be tested, since regrowth typically harbors reduced levels of biodiversity. The two case studies showed the value of using multi-date 250 m data with only two spectral bands, as well as single day 500 m data with seven spectral bands, thus illustrating the versatile use of MODIS data in two contrasting environments. MODIS data provide new options for regional land cover mapping that are less labor-intensive than Landsat and have higher resolution than previous 1km AVHRR or the current 1 km global land cover product. The usefulness of the MODIS data in addressing biodiversity conservation questions will ultimately depend upon the patch sizes of important habitats and the land cover transformations that threaten them. Numéro de notice : A2004-299 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.002 En ligne : https://doi.org/10.1016/j.rse.2004.05.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26826
in Remote sensing of environment > vol 92 n° 1 (15 July 2004) . - pp 67 - 83[article]Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)
[article]
Titre : Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices Type de document : Article/Communication Auteurs : A.S. Rogers, Auteur ; M.S. Kearney, Auteur Année de publication : 2004 Article en page(s) : pp 2317 - 2335 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] grande échelle
[Termes IGN] image Landsat-TM
[Termes IGN] interprétation automatique
[Termes IGN] littoral
[Termes IGN] marais
[Termes IGN] méthode robuste
[Termes IGN] réflectance
[Termes IGN] sédiment
[Termes IGN] signature spectrale
[Termes IGN] zone humideRésumé : (Auteur) Evidence of the rapid losses of coastal marshes calls for the application of remote sensing data. Nonetheless, many features indicative of incipient marsh loss, such as widening of tidal creeks and formation of small ponds, are often not readily detectable at the nominal 30 a x 30 m resolution of Thematic Mapper (TM) imagery, the general source for conventional satellite sensor-based data on wetlands. Spectral mixture modelling, where the proportional representation of land cover types can be estimated within pixels, offers a potential solution to the problem of assessing initial indications of loss in coastal marshes. Nevertheless, the simple linear mixture models most commonly employed can be subject to significant errors when applied to marshes due to the considerable variety of soil/sediment types in these environments. A new method is presented here which not only successfully reduces the spectral variability of soils, but also in the other principal components of vegetation and water, to a three-endmember model for estimating their fractional representation in TM data. Fractional representations for these variables in this method yield more reliable results than those obtained from unmixing corrected reflectance data. Though unmixing individual scenes may still be best achieved by extensive ground-referencing and image analysis, this technique is a robust approach for large-scale, semi-automated processing of many scenes in investigations of marsh surface condition. Numéro de notice : A2004-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618103 En ligne : https://doi.org/10.1080/01431160310001618103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26749
in International Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2317 - 2335[article]Réservation
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