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Real-time monitoring and short-term forecasting of land surface phenology / M.A. White in Remote sensing of environment, vol 104 n° 1 (15/09/2006)
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Titre : Real-time monitoring and short-term forecasting of land surface phenology Type de document : Article/Communication Auteurs : M.A. White, Auteur ; Ramakrishna R. Nemani, Auteur Année de publication : 2006 Article en page(s) : pp 43 - 49 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse diachronique
[Termes IGN] phénologie
[Termes IGN] prédiction
[Termes IGN] prévision à court terme
[Termes IGN] seuillage d'image
[Termes IGN] surface du sol
[Termes IGN] surveillance écologique
[Termes IGN] temps réelRésumé : (Auteur) Land surface phenology is an important process for real-time monitoring and short-term forecasting in diverse land management, health, and hydrologic modeling applications. Yet current efforts to characterize phenological processes are limited by remote sensing challenges and lack of uncertainty estimates. Here, for a global distribution of phenologically and climatically similar phenoregions, we used the Advanced Very High Resolution Radiometer to develop a conceptually and computationally simple technique for real-time and forecast applications. Our overall approach was to analyze the phenological behavior of groups of pixels without recourse to smoothing or fitting. We used a 3-step initial process: (1) define a phenoregion specific normalized difference vegetation index threshold; (2) for all days from 1982–2003, calculate the percent of pixels above the threshold (PAT); (3) calculate daily 1982–2003 empirical distributions of PAT. For real-time monitoring, the current PAT may then be compared to the historical range of variability and visualized in relation to user-defined levels. Using similar concepts, we projected daily PAT up to one month in the future and compared predicted and actual dates at which a hypothetical PAT was reached. We found that the maximum lead-time of phenological forecasts could be analytically defined for user-specified uncertainty levels. The approach is adaptable to different remote sensing technologies and provides a foundation for ascribing a sequence of ground conditions (e.g. snowmelt, vegetative growth, pollen production, insect phenology) to remotely sensed land surface phenology observations. Copyright Elsevier Numéro de notice : A2006-393 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.014 En ligne : https://doi.org/10.1016/j.rse.2006.04.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28117
in Remote sensing of environment > vol 104 n° 1 (15/09/2006) . - pp 43 - 49[article]Training set size requirements for the classification of a specific class / Giles M. Foody in Remote sensing of environment, vol 104 n° 1 (15/09/2006)
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Titre : Training set size requirements for the classification of a specific class Type de document : Article/Communication Auteurs : Giles M. Foody, Auteur ; A. Mathur, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1 - 14 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] Gossypium (genre)
[Termes IGN] Inde
[Termes IGN] intelligence artificielle
[Termes IGN] réduction géométriqueRésumé : (Auteur) The design of the training stage of a supervised classification should account for the properties of the classifier to be used. Consideration of the way the classifier operates may enable the training stage to be designed in a manner which ensures that the aim of the classification is satisfied with the use of a small, inexpensive, training set. It may, therefore, be possible to reduce the training set size requirements from that generally expected with the use of standard heuristics. Substantial reductions in training set size may be possible if interest is focused on a single class. This is illustrated for mapping cotton in north-western India by support vector machine type classifiers. Four approaches to reducing training set size were used: intelligent selection of the most informative training samples, selective class exclusion, acceptance of imprecise descriptions for spectrally distinct classes and the adoption of a one-class classifier. All four approaches were able to reduce the training set size required considerably below that suggested by conventional widely used heuristics without significant impact on the accuracy with which the class of interest was classified. For example, reductions in training set size of not, vert, similar 90% from that suggested by a conventional heuristic are reported with the accuracy of cotton classification remaining nearly constant at not, vert, similar 95% and not, vert, similar 97% from the user's and producer's perspectives respectively. Copyright Elsevier Numéro de notice : A2006-392 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.03.004 En ligne : https://doi.org/10.1016/j.rse.2006.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28116
in Remote sensing of environment > vol 104 n° 1 (15/09/2006) . - pp 1 - 14[article]Coastal geomorphological and land-use and land-cover study of Sagar island, Bay of Bengal (India) using remotely sensed data / K.S. Jayappa in International Journal of Remote Sensing IJRS, vol 27 n° 17 (September 2006)
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Titre : Coastal geomorphological and land-use and land-cover study of Sagar island, Bay of Bengal (India) using remotely sensed data Type de document : Article/Communication Auteurs : K.S. Jayappa, Auteur ; D. Mitra, Auteur ; A.K. Mishra, Auteur Année de publication : 2006 Article en page(s) : pp 3671 - 3682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] changement climatique
[Termes IGN] démographie
[Termes IGN] détection de changement
[Termes IGN] érosion côtière
[Termes IGN] flore locale
[Termes IGN] géomorphologie locale
[Termes IGN] île
[Termes IGN] image IRS-LISS
[Termes IGN] Inde
[Termes IGN] littoral
[Termes IGN] occupation du solRésumé : (Auteur) Morphological changes on Sagar Island are occurring at an alarming rate due to both natural and anthropogenic activities. The eastern part of the island is rapidly eroding due to destabilization and growth of tidal flats in the Muriganga estuary and the gradual shifting of water current towards the island. Over the last four years (1996–1999), the rate of coastal erosion has been much higher (11.35 km2) than accretion (2.65 km2), compared with the conditions prior to 1996. Coastal places like Dublat, Basantpur, Gobindapur, Collectorganj, and Sumatinagar have become the critical zones of erosion. The shorelines along the eastern and south-western sides are receding. The extent of coverage of the paddy field, sandy beaches, and land vegetation has decreased from 1996 to 1999 by 15.7, 1.1, and 3.5 km2, respectively. An integrated database of the island was generated using spatial and non-spatial data collected through field survey, satellite images of IRS-1C LISS III, and topomaps. Spatial data include coastal geomorphological landforms, land-use and land cover, shoreline change, sandy beaches, coastal erosion sites, agricultural fields, aquaculture sites, and coastal riparian vegetations. Non-spatial data include the demography and evolution of the island. The main critical environmental issues of the island are: (1) degradation of mangrove forests and coastal erosion; (2) overpopulation and over-exploitation of living resources; and (3) destruction of seawalls. Further degradation may lead to extinction of a variety of species and scarcity of marine food unless properly managed and regulated. Copyright Taylor & Francis Numéro de notice : A2006-390 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500500375 En ligne : https://doi.org/10.1080/01431160500500375 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28114
in International Journal of Remote Sensing IJRS > vol 27 n° 17 (September 2006) . - pp 3671 - 3682[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06091 RAB Revue Centre de documentation En réserve L003 Disponible The use of optic and radar satellite data for coastal environments / Z.D. Uca in International Journal of Remote Sensing IJRS, vol 27 n° 17 (September 2006)
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Titre : The use of optic and radar satellite data for coastal environments Type de document : Article/Communication Auteurs : Z.D. Uca, Auteur ; F. Sunar Erbek, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3739 - 3747 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] déboisement
[Termes IGN] dégradation de l'environnement
[Termes IGN] détection de changement
[Termes IGN] écosystème
[Termes IGN] flore locale
[Termes IGN] image Landsat-TM
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] image SPOT
[Termes IGN] littoral
[Termes IGN] milieu naturel
[Termes IGN] mine
[Termes IGN] pollution
[Termes IGN] TurquieRésumé : (Auteur) The pressure of population and its demands for fuel, for heating or industrial usage, causes destruction of the natural environment. One of the clearest examples for the accelerated degradation of changes in the forest area and coastline is in the Kilyos–Karaburun coastline located in the northern part of Istanbul metropolitan city. The open-pit mining activities in the region are threatening the balances of both sea and land ecosystems, and cause degradation of forest areas and changes along the coastline. In this paper, the changes are examined with multisensor satellite data such as Landsat Thematic Mapper (TM), SPOT Panchromatic (P), and RADARSAT images by using different image-processing techniques. The degrees of changes in coastline length and coastal region area were calculated, and the effectiveness of the use of different image data sets was outlined for coastal environments. Copyright Taylor & Francis Numéro de notice : A2006-391 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500500557 En ligne : https://doi.org/10.1080/01431160500500557 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28115
in International Journal of Remote Sensing IJRS > vol 27 n° 17 (September 2006) . - pp 3739 - 3747[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06091 RAB Revue Centre de documentation En réserve L003 Disponible Comparison 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)
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Titre : Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps Type de document : Article/Communication Auteurs : Lars T. Waser, Auteur ; Markus Schwarz, Auteur Année de publication : 2006 Article en page(s) : pp 196 - 207 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alpes
[Termes IGN] analyse comparative
[Termes IGN] cohérence des données
[Termes IGN] Corine Land Cover
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Terra-MODIS
[Termes IGN] image TIROS-AVHRR
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Italie
[Termes IGN] montagne
[Termes IGN] SuisseRésumé : (auteur) Considerable efforts have recently resulted in the development of global land cover data at large spatial scales. The main objective of this study is a comparison of different AVHRR- and MODIS-based forest and land cover products at the scale of the European Alps: a large natural ecosystem that is exposed to both natural environmental threats and human impacts and exploitation. In a first test, the accuracy of land cover products in predicting the overall amount of forest across national boundaries was assessed using national forest inventory statistics. Both variants of forest class combinations resulted in a general overestimation of the forest area. The IGBP 2.0 cover performed best with an overall mean absolute error of 13% and a bias of 0%. In a second test, large-area land cover products were tested for accuracy in predicting 13 aggregated land cover types in a spatially explicit manner using CORINE land cover as reference dataset. Due to data inconsistencies, partly insufficient spatial resolution, steep terrain and land use heterogeneity of the European Alps, only partly satisfactory results were obtained. Numéro de notice : A2006-304 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2005.10.001 Date de publication en ligne : 15/12/2005 En ligne : https://doi.org/10.1016/j.jag.2005.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96043
in International journal of applied Earth observation and geoinformation > vol 8 n° 3 (September 2006) . - pp 196 - 207[article]Detection of forest decline using Ikonos sensor for cork oak (Quercus suber l.) woods in south Spain / F. Cano in Geocarto international, vol 21 n° 3 (September - November 2006)
PermalinkEffects of drought and heat on forest insect populations in relation to the 2003 drought in Western Europe / Gaëlle Rouault in Annals of Forest Science, Vol 63 n° 6 (september 2006)
PermalinkElaboration d'un modèle prédictif des risques de transmission paludique / Roland Ngom in Géomatique expert, n° 52 (01/09/2006)
PermalinkInteractive effects of drought and pathogens in forest trees / Marie-Laure Desprez-Loustau in Annals of Forest Science, Vol 63 n° 6 (september 2006)
PermalinkRelationship between herbicide concentration during the 1960s and 1970s and the contemporary MERIS terrestrial chlorophyll index (MTCI) for southern Vietnam / J. Dash in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)
PermalinkA spatial approach to forest-management optimization: linking GIS and multiple objective genetic algorithms / E.I. Ducheyne in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)
PermalinkTemperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences / Nathalie Bréda in Annals of Forest Science, Vol 63 n° 6 (september 2006)
PermalinkThe contribution of remote sensing to the assessment of drought effects in forest ecosystems / Michel Deshayes in Annals of Forest Science, Vol 63 n° 6 (september 2006)
PermalinkError assessment in two lidar-derived TIN datasets / M.H. Peng in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 8 (August 2006)
PermalinkPerformance of change detection using remotely sensed data and evidential fusion: comparison of three cases of application / Sylvie Le Hégarat-Mascle in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
PermalinkAssessment of forest structure with airborne LiDAR and the effects of platform altitude / N.R. Goodwin in Remote sensing of environment, vol 103 n° 2 (30/07/2006)
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)
PermalinkAssessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation / Nicholas C. Coops in Remote sensing of environment, vol 103 n° 1 (15 July 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)
PermalinkIncorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach / A.E. Daniels in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)
PermalinkLandsat cross-calibration based on near simultaneous imaging of common targets / P.M. Teillet in Remote sensing of environment, vol 102 n° 3-4 (15 June2006)
PermalinkPermalinkLa ressource en Douglas : 15 ans d'évolution (1990 à 2004) / Fabrice Barlet ; Jean-Louis Ferron in Douglas infos, n° 13 (juin 2006)
PermalinkSeaWIFS discrimination of harmful algal bloom evolution / P.I. Miller in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
PermalinkBase cation cycling in a pristine watershed of the Canadian boreal forest / Louis Duchesne in Biogeochemistry, vol 78 n° 2 (April 2006)
PermalinkPractical photogrammetric procedures for large-scale forest inventories / Paul-André Gagnon (29/03/2006)
PermalinkMangrove mapping and monitoring: RS and GIS in conservation and management planning / S.K. Singh in GIM international, vol 20 n° 3 (March 2006)
PermalinkRépartition en Corse et description phytosociologique des stations des deux espèces protégées Nerium oleander et Vitex agnus-castus / Guilhan Paradis in Journal de botanique, n° 33 (mars 2006)
PermalinkMapping the effects of water stress on sphagnum: preliminary observations using airborne remote sensing / A. Harris in Remote sensing of environment, vol 100 n° 3 (15 february 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)
PermalinkAufnahmen flugzeuggetragener Laserscanner als Grundlage zur Erfassung von Strassen und Wegen in bewaldeten Gebieten [Des données par laserscanner aéroporté comme base pour l'extraction de voies et de chemins dans des régions boisées] / M. Attwenger (2006)
PermalinkPermalinkPermalinkPermalinkLes indicateurs de gestion durable des forêts françaises [édition 2005] / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Aisne, 3ème inventaire 2003 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Allier, résultats du 4ème inventaire 2001 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Cantal, résultats 4ème inventaire 2004 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Creuse, 4ème inventaire 2004 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Eure, 3ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Eure-et-Loir, 3ème inventaire (2004) / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Haute-Corse (2004) et Corse-du-Sud (2003), 3ème inventaire / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Haute-Loire, résultats 4ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Haute-Vienne 4ème inventaire 2004 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Île-de-France Ouest, 3e inventaire 2003 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Isère, 3ème inventaire 1997 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Lot, 4ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Nièvre, résultats du 3ème inventaire 1996 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Nord, 3ème inventaire 2000 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Pas-de-Calais, 3ème inventaire 2000 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Puy-de-Dôme, résultats du 4ème inventaire 2003 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Saône-et-loire, résultats 4ème inventaire forestier 2003 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Seine-Maritime, 3ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Somme, 3ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Tarn-et-Garonne, 4ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2006)
PermalinkInventaire forestier départemental, Yonne, résultats 3ème inventaire (1999) / Inventaire forestier national (1958 - 2011) (2006)
PermalinkOn the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
PermalinkProceedings of the 8th Annual Forest Inventory and Analysis Symposium, 2006, October 16-19, Monterey, CA / Ronald E. McRoberts (2006)
PermalinkUtilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture / E. Tonye in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)
PermalinkIntegrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations / C. Bone in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)
PermalinkRelating SAR image texture to the biomass of regenerating tropical forests / T.M. Kuplich in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)
PermalinkCaractérisation d'un habitat forestier tempéré par télédétection satellitale pour le suivi de populations aviennes : cas des mésanges en forêt de Larivour (Aube, France) / V. Godard in Photo interprétation, vol 41 n° 4 (Novembre 2005)
PermalinkDynamique urbaine et télédétection : le choix de l'indicateur végétal, les cas de Montréal, Paris et Pékin / I. Biraud-Burot in Photo interprétation, vol 41 n° 4 (Novembre 2005)
PermalinkEstimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data / Z.J. Bortolot in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 6 (November 2005)
PermalinkMarine GIS: identification of mesoscale oceanic thermal fronts / V.D. Valavanis in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)
PermalinkTypologie des paysages forestiers du sud du massif de Fontainebleau après la tempête de décembre 1999 / V. Godard in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)
PermalinkChange detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm / K.M. Bergen in Remote sensing of environment, vol 97 n° 4 (15/09/2005)
PermalinkEffects of forest environment and survey protocol on GPS accuracy / Christian Piedallu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)
PermalinkUtilisation des images satellitaires Spot pour la cartographie des types de peuplements de la forêt de la Mamora (Maroc) / Abderrahman Aafi in Revue Française de Photogrammétrie et de Télédétection, n° 178 (Septembre 2005)
Permalinkvol 57 n° 2 - août 2005 - L'avenir du hêtre dans la forêt française (Bulletin de Revue forestière française)
PermalinkLes problèmes sanitaires d'actualité en hêtraie : la maladie du hêtre dans les Ardennes / Louis-Michel Nageleisen in Revue forestière française, vol 57 n° 2 (août 2005)
PermalinkThe technique of distance decayed visibility for forest landscape visualization / C. Kumsap in International journal of geographical information science IJGIS, vol 19 n° 6 (july 2005)
PermalinkL'Inventaire forestier permanent du Grand-Duché de Luxembourg et ses aspects méthodologiques / Jacques Rondeux in Revue forestière française, vol 57 n° 1 (juin 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)
PermalinkGround-penetrating radar measurement of crop and surface water content dynamics / G. Serbin in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
PermalinkA method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
PermalinkSignature extension through space for northern landcover classification: a comparison of radiometric correction methods / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkL'apport des données du satellite SPOT 5 à l'étude des zones humides en Bretagne nord : application au bassin versant du Jaudy-Guindy-Bizien / S. Saloum in Photo interprétation, vol 41 n° 1 (Mars 2005)
PermalinkExtension d'un guide pour l'identification des stations forestières : utilisation des données de l'Inventaire forestier national, un exemple d'application aux confins du Gâtinais oriental / Marie Forêt in Ingénieries : eau, agriculture, territoires, n° 41 (mars 2005)
PermalinkMapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
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)
PermalinkPerformance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
PermalinkAssesment of manual and automated methods for updating stand-level forest inventories based on aerial photography / Perttu Antilla (2005)
PermalinkCahiers d'habitats Natura 2000, Tome 4. Habitats agropastoraux / Museum national d'histoire naturelle (2005)
Permalink"Les chemins de l'information forestière" revisité : résultats d'une enquête rapide sur la situation en 2005 comparée à celle de 2000 / Guy Landmann (2005)
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PermalinkCubic map algebra functions for spatio-temporal analysis / J. Mennis in Cartography and Geographic Information Science, vol 32 n° 1 (January 2005)
PermalinkDépartement des Ardennes, troisième inventaire forestier du département (1998) / Inventaire forestier national (1958 - 2011) (2005)
PermalinkDeriving new minimum cost pathways from existing paths / Denis J. Dean in Cartography and Geographic Information Science, vol 32 n° 1 (January 2005)
PermalinkDetection of stationary foliage-obscured targets by polarimetric millimeter-wave radar / A.Y. Nashashibi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 1 (January 2005)
PermalinkPermalinkA high-reliability, high-resolution method for land cover classification into forest and non-forest / Roger Trias-Sanz (2005)
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PermalinkPermalinkInventaire forestier départemental, Bouches-du-Rhône, 3ème inventaire 2003 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Calvados, 3ème inventaire 2000 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Gers, 4ème inventaire 2001 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Haute-Savoie, résultats du 3ème inventaire 1998 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Lot-et-Garonne, résultats du 4ème inventaire, 2000 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Manche, 3ème inventaire 2001 / Inventaire forestier national (1958 - 2011) (2005)
PermalinkInventaire forestier départemental, Orne, 3ème inventaire 2001 / Inventaire forestier national (1958 - 2011) (2005)
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