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Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[article]Evolution des habitats dans les montagnes d'Araucania / Rémi Pas (2007)
Titre : Evolution des habitats dans les montagnes d'Araucania Type de document : Mémoire Auteurs : Rémi Pas, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2007 Importance : 34 p. Format : 21 x 30 cm Note générale : Rapport de projet pluridisciplinaire, cycle des ingénieurs diplômés de l'ENSG 2ème année (IT2) Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse spatiale
[Termes IGN] Chili
[Termes IGN] classification automatique
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] classification semi-dirigée
[Termes IGN] ERDAS Imagine
[Termes IGN] habitat animal
[Termes IGN] image Terra-ASTERIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ceci est le rapport du stage pluridisciplinaire de deuxième année du cycle ingénieur de l'Ecole Nationale des Sciences Géographiques. Ce stage de onze semaines a été réalisé dans le département Ecologie du Macaulay Institute à Aberdeen en Ecosse, sous la direction du Dr Alessandro GIMONA. Le but de ce stage était d'identifier des zones importantes à protéger dans la partie Est de l'Araucania au Chili (partie patagonienne). Pour identifier ces zones, il a fallu faire des classifications de photographies satellitales provenant d'ASTER. Le travail a été réalisé en collaboration avec le centre de recherche Fauna Australis, le partenaire chilien. Note de contenu : 1 - Contexte du stage
1.1 - The Darwin Initiative et thé MAB project
1.1.1 - Présentation des projets
1.1.2 - Présentation des acteurs
1.2 - Description du sujet
2 - Réalisation du projet
2.1 - Photos ASTER et caractéristiques générales
2.2 - Orthorectification des photos
2.3 - Classification automatique
2.3.1 - Résultats de la classification non supervisée
2.3.2 - Résultats de la classification supervisée
2.3.3 - Images avec six bandes
2.3.4 - Image avec neuf bandes
2.3.5 - Classification supervisée sur l'image neuf bandes avec le cadastre
2.4-Analyse et recherche de régions importantes à conserver
2.4.1 - Présentation de Marxan et Cluz
2.4.2 -Analyse couplée avecArcGis
3 - Résultats
3.1 - Mise en valeur des résultats
3.2 - Conclusions sur les zones à protéger en priorité
4 - Bilan
4.1 - Apports pédagogiques du stage
4.2 - Améliorations et suites à donner au projetNuméro de notice : 19126 Affiliation des auteurs : IGN (1940-2011) Thématique : IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Macaulay Land Use Research Institute Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51065 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 19126-01 PROJET Livre Centre de documentation Travaux d'élèves Disponible 19126-02 PROJET Livre Centre de documentation Travaux d'élèves Disponible Calibration of NOAA16 AVHRR over a desert site using MODIS data / Eric F. Vermote in Remote sensing of environment, vol 105 n° 3 (15/12/2006)
[article]
Titre : Calibration of NOAA16 AVHRR over a desert site using MODIS data Type de document : Article/Communication Auteurs : Eric F. Vermote, Auteur ; N.Z. Saleous, Auteur Année de publication : 2006 Article en page(s) : pp 214 - 220 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] analyse comparative
[Termes IGN] désert
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Terra-MODIS
[Termes IGN] rayonnement infrarouge
[Termes IGN] Sahara, désert du
[Termes IGN] Short Waves InfraRedRésumé : (Auteur) This paper presents a new approach to AVHRR-sensors cross-calibration in the visible to shortwave-infrared spectral domain using an a-priori, well calibrated sensor (MODIS). The approach has been tested over a stable Sahara desert site and was initially applied to compare the absolute calibration coefficients of three different bands of the Terra and Aqua MODIS instruments. The observed agreement was better than 1% for bands 1 (0.67um), 2 (0.87 um) and 7 (2.13 um). The approach was then applied to cross-calibrate the AVHRR sensor onboard NOAA16. The absolute calibration coefficients derived for bands 1 and 2, using the Terra MODIS as a reference, were compared to the vicarious coefficients derived using the ocean and clouds method [Vermote E.F. and Kaufman Y.J. (1995). Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views, International Journal of Remote Sensing, 16, 13, 2317–2340.]. The coefficients were consistent within less than 1%. Copyright Elsevier Numéro de notice : A2006-557 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.06.015 En ligne : https://doi.org/10.1016/j.rse.2006.06.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28280
in Remote sensing of environment > vol 105 n° 3 (15/12/2006) . - pp 214 - 220[article]Assessment of EOS aqua AMSR-E artic sea ice concentrations using Landsat-7 and airborne microwave imagery / D.J. Cavalieri in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 1 (November 2006)
[article]
Titre : Assessment of EOS aqua AMSR-E artic sea ice concentrations using Landsat-7 and airborne microwave imagery Type de document : Article/Communication Auteurs : D.J. Cavalieri, Auteur ; T. Markus, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3057 - 3069 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] Arctique, océan
[Termes IGN] erreur moyenne quadratique
[Termes IGN] glace de mer
[Termes IGN] image aérienne
[Termes IGN] image Aqua-AMSR
[Termes IGN] image Landsat-ETM+
[Termes IGN] image radar
[Termes IGN] photographie aérienne
[Termes IGN] photographie numériqueRésumé : (Auteur) An assessment of Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) sea ice concentrations under winter conditions using ice concentrations derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) imagery obtained during the March 2003 Arctic sea ice validation field campaign is presented. The National Oceanic and Atmospheric Administration Environmental Technology Laboratory's Airborne Polarimetric Scanning Radiometer Measurements, which were made from the National Aeronautics and Space Administration P 3B aircraft during the campaign, were used primarily as a diagnostic tool to understand the comparative results and to suggest improvements to the AMSR-E ice concentration algorithm. Based on the AMSR-E/ETM+ comparisons, a good overall agreement with little bias ($sim$1%) for areas of first year and young sea ice was found. Areas of new ice production result in a negative bias of about 5% in the AMSR-E ice concentration retrievals, with a root mean square error of 8%. Some areas of deep snow also resulted in an underestimate of the ice concentration ($sim$10%). For all ice types combined and for the full range of ice concentrations, the bias ranged from 0% to 3%, and the rms errors ranged from 1% to 7%, depending on the region. The new-ice and deep-snow biases are expected to be reduced through an adjustment of the new-ice and ice-type C algorithm tie points. Copyright IEEE Numéro de notice : A2006-508 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.878445 En ligne : https://doi.org/10.1109/TGRS.2006.878445 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28232
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 11 Tome 1 (November 2006) . - pp 3057 - 3069[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06111A RAB Revue Centre de documentation En réserve L003 Disponible March 2003 EOS Aqua AMSR-E Arctic Sea Ice Field Campaign / D.J. Cavalieri in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 1 (November 2006)
[article]
Titre : March 2003 EOS Aqua AMSR-E Arctic Sea Ice Field Campaign Type de document : Article/Communication Auteurs : D.J. Cavalieri, Auteur ; T. Markus, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3003 - 3008 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] analyse comparative
[Termes IGN] Arctique, océan
[Termes IGN] campagne d'expérimentation
[Termes IGN] circulation atmosphérique
[Termes IGN] données de terrain
[Termes IGN] épaisseur de la glace
[Termes IGN] glace de mer
[Termes IGN] image Aqua-AMSR
[Termes IGN] image Landsat
[Termes IGN] image Radarsat
[Termes IGN] photographie aérienne
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) An overview of the March 2003 coordinated sea ice field campaign in the Alaskan Arctic is presented with reference to the papers in this special section. This campaign is part of the program to validate the Aqua Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sea ice products. Standard AMSR-E sea ice products include sea ice concentration, sea ice temperature, and snow depth on sea ice. The validation program consists of three elements, namely: 1) satellite data comparisons; 2) coordinated satellite/aircraft/surface measurements; and 3) modeling and sensitivity analyses. Landsat-7 and RADARSAT observations were used in comparative studies with the retrieved AMSR-E sea ice concentrations. The aircraft sensors provided high-resolution microwave imagery of the surface, atmospheric profiles of temperature and humidity, and digital records of sea ice conditions. When combined with in situ measurements, aircraft data were used to validate the AMSR-E sea ice temperature and snow-depth products. The modeling studies helped interpret the field-data comparisons, provided insight on the limitations of the AMSR-E sea ice algorithms, and suggested potential improvements to the AMSR-E retrieval algorithms. Copyright IEEE Numéro de notice : A2006-507 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.883133 En ligne : https://doi.org/10.1109/TGRS.2006.883133 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28231
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 11 Tome 1 (November 2006) . - pp 3003 - 3008[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06111A RAB Revue Centre de documentation En réserve L003 Disponible Spectral normalisation and fusion of optical sensors for the retrieval of BRDF and albedo: application to vegetation, MODIS, and MERIS data sets / O. Samain in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 1 (November 2006)PermalinkImproved estimation of aerosol optical depth from MODIS imagery over land surfaces / B. Zhong in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkIntegration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration / Y. Zhang in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkComparison of pixel-based and object-oriented image classification approaches: a case study in a coal fire area, Wuda, Inner Mongolia, China / G. Yan in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkAgent-based modelling of shifting cultivation field patterns, Vietnam / M.R. Jepsen in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)PermalinkValidation of satellite observed thermal emission with in-situ measurements over an urban surface / G. Rigo in Remote sensing of environment, vol 104 n° 2 (30 September 2006)PermalinkComparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps / Lars T. Waser in International journal of applied Earth observation and geoinformation, vol 8 n° 3 (September 2006)PermalinkAerosol optical depth and land surface reflectance from multiangle AATSR measurements: global validation and intersensor comparisons / W.M.F. Grey in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)PermalinkOn the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)PermalinkMODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA / R.H. Waring in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkSoil moisture mapping and AMSR-E validation using the PSR in SMEX02 / R. Bindlish in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkTree cover and height estimation in the Fennoscandian tundra-taiga transition zone using multiangular MISR data / J. Heiskanen in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkCloud base heights retrieved during night-time conditions with MODIS data / K. Hutchinson in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkCo-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation / P. Boccardo in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkRelevance of hyperspectral data for natural resources management / T.V. Ramachandra in GIS development, vol 10 n° 4 (April 2006)PermalinkPermanent validation of the geometric calibration as a complement to MISR data production system / V. Jovanovic in Revue Française de Photogrammétrie et de Télédétection, n° 181 (Mars 2006)PermalinkAn empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data / T. Miura in Remote sensing of environment, vol 100 n° 2 (30 January 2006)PermalinkReconstruction of cloud geometry from multi-view satellite images / G. Seiz in Remote sensing of environment, vol 100 n° 2 (30 January 2006)PermalinkEstimating accuracy in optimal deconvolution of synthetic AMSR-E observations / A.S. Limaye in Remote sensing of environment, vol 100 n° 1 (15/01/2006)PermalinkASTER DEM performance / Hiroyuki Fujisada in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)PermalinkMulti-platform comparisons of MODIS and AVHRR normalized difference vegetation index data / K. Gallo in Remote sensing of environment, vol 99 n° 3 (30/11/2005)PermalinkAnalysis of urban heat-island effect using ASTER and ETM+ data: separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux / S. Katowski in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkAssessment of ASTER land cover and MODIS data at multiple scales for ecological characterization of an arid urban center / W.L. Stefanov in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkASTER observations of thermal anomalies preceding the April 2003 eruption of Chikurachki volcano, Kurile Islands, Russia / D. Pieri in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkEstimating sub-pixel surface roughness using remotely sensed stereoscopic data / A. Mushkin in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)Permalinkvol 99 n° 1-2 - 15 November 2005 - Scientific Results from ASTER (Bulletin de Remote sensing of environment) / Alan GillespiePermalinkRecognition of gypsum geohorizons in the Sivas Basin (Turkey) using ASTER and Landsat ETM+ images / K.S. Kavak in International Journal of Remote Sensing IJRS, vol 26 n° 20 (October 2005)PermalinkEmissivity maps to retrieve land-surface temperature from MSG/SEVIRI / L.F. Peres in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)PermalinkPrototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data / D.P. Roy in Remote sensing of environment, vol 97 n° 2 (30/07/2005)PermalinkAssessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands / G. Dall'olmo in Remote sensing of environment, vol 96 n° 2 (30/05/2005)PermalinkNOAA operational hydrological products derived from the Advanced Microwave Sounding Unit / R.R. Ferraro in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)PermalinkLand covers update by supervised classification of segmented ASTER images / A.R.S. Marcal in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkUse of the Bradley-Terry model to quantify association in remotely sensed images / Alfred Stein in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)PermalinkAnalysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkUsing angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land / D. Diner in Remote sensing of environment, vol 94 n° 2 (30/01/2005)PermalinkPredicting riparian evapotranspiration from MODIS vegetation indices and meteorological data / P. Nagler in Remote sensing of environment, vol 94 n° 1 (15/01/2005)PermalinkEnjeux écologiques et menace incendie / Y.E. Boyeau (2005)PermalinkPermalinkRegional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. Houborg in Remote sensing of environment, vol 93 n° 1 (30/10/2004)PermalinkSpatiotriangulation with multisensor VIR/SAR / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 42 n° 10 (October 2004)PermalinkApplication d'une méthode de classification orientée objet pour la cartographie de l'occupation du sol : résultats sur ASTER et Landsat ETM / Christina Corbane in Revue Française de Photogrammétrie et de Télédétection, n° 175 (Septembre 2004)PermalinkCartographie de la fraction argileuse du sol dans le rif marocain à l'aide du capteur ASTER et de l'analyse géostatique / M. Chikhaoui in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkNighttime polar cloud detection with MODIS / Y. Liu in Remote sensing of environment, vol 92 n° 2 (15/08/2004)PermalinkA land cover classification product over France at 1 km resolution using Spot4-Vegetation data / K.S. Han in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping 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)Permalink