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Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI / J. Krishnaswamy in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)
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Titre : Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI Type de document : Article/Communication Auteurs : J. Krishnaswamy, Auteur ; M.C. Kiran, Auteur ; K.N. Ganeshaiah, Auteur Année de publication : 2004 Article en page(s) : pp 1185 - 1205 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre (mathématique)
[Termes IGN] classification
[Termes IGN] classification dirigée
[Termes IGN] écosystème
[Termes IGN] Kappa de Cohen
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] végétationRésumé : (Auteur) Many vegetation classification strategies in tropical ecosystems involving conventional image processing of original satellite imagery bands require considerable prior site knowledge, statistical assumptions, and are difficult, expensive and inconsistent. In this paper we show that the intra-annual variation and rates of change in NDVI for different parts of a large forest area in combination with rules derived from a tree model can be used for detailed vegetation mapping. We used three-date NDVI data for the Biligiri Rangaswamy Temple Wildlife Sanctuary in Karnataka, southern India comprising mean NDVI, coefficient of variation (CV) and two NDVI change vectors corresponding to intraseasonal NDVI differences. A rule-based classification using a tree model was developed at two levels. The overall kappa statistic is 0.61 at level 1 classification. indicating a strong correspondence with the raster version of the available vector reference map based on ground data, even though the two maps are not strictly comparable. Several limitations of the available reference map have been highlighted by the new technique, especially the absence of ecotones. At level two the tree model map has provided detailed classification of dry deciduous forests and new classes not available in the reference map. The method in combination with reference data also provides a framework for fuzzy classification. This technique offers a relatively simple cost-effective alternative to existing classification strategies, especially for areas with diverse evergreen and deciduous vegetation elements. Numéro de notice : A2004-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000149989 En ligne : https://doi.org/10.1080/0143116031000149989 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26615
in International Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1185 - 1205[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Airborne measurement of hot spot reflectance signatures / F. Camacho-De Coca in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
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Titre : Airborne measurement of hot spot reflectance signatures Type de document : Article/Communication Auteurs : F. Camacho-De Coca, Auteur ; François-Marie Bréon, Auteur ; M. Leroy, Auteur ; F.J. Garcia-Haro, Auteur Année de publication : 2004 Article en page(s) : pp 63 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ARAT
[Termes IGN] composition colorée
[Termes IGN] couvert végétal
[Termes IGN] cultures
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] Espagne
[Termes IGN] image DAIS
[Termes IGN] image en couleur composée
[Termes IGN] image HYMAP
[Termes IGN] image POLDER
[Termes IGN] Leaf Area Index
[Termes IGN] réflectance végétale
[Termes IGN] tâche claire
[Termes IGN] transfert radiatifRésumé : (Auteur) The so-called hot spot is a fine directional signature of the surface reflectance observed for phase angles close to zero. In this paper, we analyze and discuss several such signatures acquired from the airborne POLDER and HyMap instruments during the DAISEX'99 campaign over agricultural crops. The observed signatures are very similar to those acquired from space at a resolution of several tens of kilometers [J. Geophys. Res. 107 (2002)], which provides further evidence that the hot spot is a scale-free feature. The hot spots can be fitted by a twoparameter function (amplitude and width) of the phase angle derived from canopy radiative transfer modeling. The model predicts that the amplitude is directly related to the leaf reflectance, while the width is a function of the canopy structure. The retrieved leaf reflectance values over a wide spectral range are in very good agreement with noncoincident laboratory measurement. The retrieved half widths are on the order of 1° with no significant variability between the analyzed targets. There is an apparent spectral variability in the half width, a feature in contradiction with the modeling, although the variations are not larger than the uncertainties. Numéro de notice : A2004-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.019 En ligne : https://doi.org/10.1016/j.rse.2003.11.019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26655
in Remote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 63 - 75[article]Artificial neural network-based techniques for the retrieval of SWE [snow water equivalent] and snow depth from SSM/I data / Marco Tedesco in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
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Titre : Artificial neural network-based techniques for the retrieval of SWE [snow water equivalent] and snow depth from SSM/I data Type de document : Article/Communication Auteurs : Marco Tedesco, Auteur ; J.T. Pulliainen, Auteur ; M. Takala, Auteur ; M.T. Hallikainen, Auteur ; P. Pampaloni, Auteur Année de publication : 2004 Article en page(s) : pp 76 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] Finlande
[Termes IGN] neige
[Termes IGN] réalité de terrain
[Termes IGN] réseau neuronal artificiel
[Termes IGN] Special sensor microwave imager
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) The retrieval of snow water equivalent (SWE) and snow depth is performed by inverting Special Sensor Microwave Imager (SSM/I) brightness temperatures at 19 and 37 GHz using artificial neural network ANN-based techniques. The SSM/I used data, which consist of Pathfinder Daily EASE-Grid brightness temperatures, were supplied by the National Snow and Ice Data Centre (NSIDC). They were gathered during the period of time included between the beginning of 1996 and the end of 1999 all over Finland. A ground snow data set based on observations of the Finnish Environment Institute (SYKE) and the Finnish Meteorological Institute (FMI) was used to estimate the performances of the technique. The ANN results were confronted with those obtained using the spectral polarization difference (SPD) algorithm, the HUT model-based iterative inversion and the Chang algorithm, by comparing the RMSE, the R , and the regression coefficients. In general, it was observed that the results obtained through ANN-based technique are better than, or comparable to, those obtained through other approaches, when trained with simulated data. Performances were very good when the ANN were trained with experimental data. Numéro de notice : A2004-129 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.002 En ligne : https://doi.org/10.1016/j.rse.2003.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26656
in Remote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 76 - 85[article]Hyperion, Ikonos, ALI, and ETM+ sensors in the study of African rainforests / Prasad S. Thenkabail in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
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Titre : Hyperion, Ikonos, ALI, and ETM+ sensors in the study of African rainforests Type de document : Article/Communication Auteurs : Prasad S. Thenkabail, Auteur ; E.A. Enclona, Auteur ; M.S. Ashton, Auteur ; C. Legg, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 23 - 43 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Cameroun
[Termes IGN] carbone
[Termes IGN] carte de la végétation
[Termes IGN] classification
[Termes IGN] Congo (bassin)
[Termes IGN] forêt équatoriale
[Termes IGN] image EO1-ALI
[Termes IGN] image EO1-Hyperion
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] indice de végétation
[Termes IGN] masse végétale
[Termes IGN] occupation du solRésumé : (Auteur) The goal of this research was to compare narrowband hyperspectral Hyperion data with broadband hyperspatial IKONOS data and anced multispectral Advanced Land Imager (ALI) and Landsat-7 Enhanced Thematic Mapper Plus (ETM+) data through modeling and classifying complex rainforest vegetation. For this purpose, Hyperion, ALI, IKONOS, and ETM+ data were acquired for southern Cameroon, a region considered to be a representative area for tropical moist evergreen and semideciduous forests. Field data, collected in near-real time to coincide with satellite sensor overpass, were used to (1) quantify and model the biomass of tree, shrub, and weed species; and (2) characterize forest land use/land cover (LULC) classes. The study established that even the most advanced broadband sensors (i.e., ETM+, IKONOS, and ALI) had serious limitations in modeling biomass and in classifying forest LULC classes. The broadband models explained only 13-60% of the variability in biomass across primary forests, secondary forests, and fallows. The overall accuracies were between 42% and 51% for classifying nine complex rainforest LULC classes using the broadband data of these sensors. Within individual vegetation types (e.g., primary or secondary forest), the overall accuracies increased slightly, but followed a similar trend. Among the broadband sensors, ALI sensor performed better than the IKONOS and ETM+ sensors. When compared to the three broadband sensors, Hyperion narrowband data produced (1) models that explained 36-83% more of the variability in rainforest biomass, and (2) LULC classifications with 45-52% higher overall accuracies. Twenty-three Hyperion narrowbands that were most sensitive in modeling forest biomass and in classifying forest LULC classes were identified and discussed. Numéro de notice : A2004-127 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.018 En ligne : https://doi.org/10.1016/j.rse.2003.11.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26654
in Remote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 23 - 43[article]Mesure de la connectivité du paysage à travers un maillage spatial / Jean-Christophe Foltête in Revue internationale de géomatique, vol 14 n° 1 (mars - mai 2004)
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Titre : Mesure de la connectivité du paysage à travers un maillage spatial Type de document : Article/Communication Auteurs : Jean-Christophe Foltête, Auteur Année de publication : 2004 Article en page(s) : pp 59 - 82 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] agrégation spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse de données
[Termes IGN] connexité (topologie)
[Termes IGN] faune
[Termes IGN] interactivité
[Termes IGN] maillage
[Termes IGN] migration animale
[Termes IGN] modèle conceptuel de flux
[Termes IGN] occupation du sol
[Termes IGN] paysage rural
[Termes IGN] télédétection spatialeRésumé : (Auteur) Le paysage, par ses différentes configurations, contraint ou favorise le mouvement des espèces animales. Pour étudier son rôle vis-à-vis des déplacements, il est nécessaire de mesurer son degré de connectivité. La mesure de la connectivité du paysage est ici appliquée aux relations entre les mailles d'un découpage spatial. Un bilan des mesures existantes et de leur aptitude à quantifier les liens de connectivité conduit à privilégier deux pistes : soit le comptage de pixels adjacents, soit l'immigration d'individus par le biais de simulations de mouvements. Le plateau de Nozeroy (Jura) découpé en 92 unités de comptage de campagnols terrestres est le cadre d'une série de tests. Les différents indices sont calculés, cartographiés et comparés statistiquement. Ils sont ensuite confrontés à des valeurs estimées des flux de campagnols. L'ensemble des résultats montre que les indices de connectivité structurelle gardent un sens biologique quand l'habitat correspond à la matrice paysagère ; en revanche, les simulations de mouvements s'appliquent à des cas plus généraux. Numéro de notice : A2004-304 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/rig.14.59-82 En ligne : https://doi.org/10.3166/rig.14.59-82 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26831
in Revue internationale de géomatique > vol 14 n° 1 (mars - mai 2004) . - pp 59 - 82[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-04011 RAB Revue Centre de documentation En réserve L003 Disponible Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies / Q. Wenger in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
PermalinkMonitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data / F. Maselli in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
PermalinkEstimating fragmentation effects on simulated forest net primary productivity derived from satellite imagery / Nicholas C. Coops in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)
PermalinkMapping coal fires based on OMIS1 thermal infrared band image / Y. Wan in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
PermalinkImpacts of hydrologic soil properties on drought detection with MODIS thermal data / S. Park in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
PermalinkToward universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements / G. Le Maire in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
PermalinkHyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
PermalinkVegetation/SPOT: an operational mission for the Earth monitoring, presentation of new standard product / P. Maisongrande in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
PermalinkCaractérisation par télédétection des paysages favorables aux culicoides vecteurs de la fièvre catarrhale ovine dans le bassin méditerranéen / H. Guis (2004)
PermalinkComparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery / D.A. Clausi in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)
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