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Assessment 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)
[article]
Titre : Assessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation Type de document : Article/Communication Auteurs : Nicholas C. Coops, Auteur ; M. Johnson, Auteur ; Michael A. Wulder, Auteur ; Joanne C. White, Auteur Année de publication : 2006 Article en page(s) : pp 67 - 80 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] dommage matériel
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] indice de végétation
[Termes IGN] Insecta
[Termes IGN] Pinus ponderosa
[Termes IGN] surveillance forestièreRésumé : (Auteur) High spatial resolution remotely sensed data has the potential to complement existing forest health programs for both strategic planning over large areas, as well as for detailed and precise identification of tree crowns subject to stress and infestation. The area impacted by the current mountain pine beetle (Dendroctonus ponderosae Hopkins) outbreak in British Columbia, Canada, has increased 40-fold over the previous 5 years, with approximately 8.5 million ha of forest infested in 2005. As a result of the spatial extent and intensity of the outbreak, new technologies are being assessed to help detect, map, and monitor the damage caused by the beetle, and to inform mitigation of future beetle outbreaks. In this paper, we evaluate the capacity of high spatial resolution QuickBird multi-spectral imagery to detect mountain pine beetle red attack damage. ANOVA testing of individual spectral bands, as well as the Normalized Difference Vegetation Index (NDVI) and a ratio of red to green reflectance (Red–Green Index or RGI), indicated that the RGI was the most successful (p Numéro de notice : A2006-284 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.03.012 En ligne : https://doi.org/10.1016/j.rse.2006.03.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28011
in Remote sensing of environment > vol 103 n° 1 (15 July 2006) . - pp 67 - 80[article]Mangrove mapping and monitoring: RS and GIS in conservation and management planning / S.K. Singh in GIM international, vol 20 n° 3 (March 2006)
[article]
Titre : Mangrove mapping and monitoring: RS and GIS in conservation and management planning Type de document : Article/Communication Auteurs : S.K. Singh, Auteur ; S.P.S. Kushwaha, Auteur ; P. Joshi, Auteur Année de publication : 2006 Article en page(s) : pp 61 - 63 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] classification dirigée
[Termes IGN] écosystème
[Termes IGN] image IRS
[Termes IGN] Inde
[Termes IGN] mangrove
[Termes IGN] surveillance forestière
[Termes IGN] système d'information géographiqueRésumé : (Editeur) The mangroves of the Sunderban area in India are one of the most productive and diverse ecosystems in the world, and yet they are a threatened habitat. To formulate a conservation and management plan periodic mapping and monitoring of mangroves is a prime requisite. The authors demonstrate that remote sensing and GIS techniques, including visual interpretation, are effective and efficient techniques for this purpose. Numéro de notice : A2006-114 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27841
in GIM international > vol 20 n° 3 (March 2006) . - pp 61 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-06031 SL Revue Centre de documentation Revues en salle Disponible A 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)
[article]
Titre : A method for detecting large-scale forest covers change using coarse spatial resolution imagery Type de document : Article/Communication Auteurs : R.H. Fraser, Auteur ; A. Abuelgasim, Auteur ; R. Latifovic, Auteur Année de publication : 2005 Article en page(s) : pp 414 - 427 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Canada
[Termes IGN] classificateur paramétrique
[Termes IGN] classification par arbre de décision
[Termes IGN] couvert forestier
[Termes IGN] détection de changement
[Termes IGN] données auxiliaires
[Termes IGN] grande échelle
[Termes IGN] image à basse résolution
[Termes IGN] image à moyenne résolution
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] modèle de régression
[Termes IGN] régression
[Termes IGN] surveillance forestièreRésumé : (Auteur) Many large countries, including Canada, rely on earth observation as a practical and cost-effective means of monitoring their vast inland ecosystems. A potentially efficient approach is one that detects vegetation changes over a hierarchy of spatial scales ranging from coarse to fine. This paper presents a Change Screening Analysis Technique (Change-SAT) designed as a coarse filter to identify the location and timing of large (>5-1 0 kM2) forest cover changes caused by anthropogenic and natural disturbances at an annual, continental scale. The method uses change metrics derived from 1-km multi-temporal SPOT VEGETATION and NOAA AVHRR imagery (reflectance, temperature, and texture information) and ancillary spatial variables (proximity to active fires, roads, and forest tenures) in combination with logistic regression and decision tree classifiers. Major forest changes of interest include wildfires, insect defoliation, forest harvesting and flooding. Change-SAT was tested for 1998-2000 using an independent sample of change and no-change sites over Canada. Overall accuracy was 94% and commission error, especially critical for large-area change applications, was less than 1%. Regions identified as having major or widespread changes could be targeted for more detailed investigation and mapping using field visits, aerial survey or fine resolution EO methods, such as those being applied under Canadian monitoring programs. This multi-resolution approach could be used as pan of a forest monitoring system to report on carbon stocks and forest stewardship. Numéro de notice : A2005-186 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.014 En ligne : https://doi.org/10.1016/j.rse.2004.12.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27323
in Remote sensing of environment > vol 95 n° 4 (30/04/2005) . - pp 414 - 427[article]Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data / M. Maki in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
[article]
Titre : Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data Type de document : Article/Communication Auteurs : M. Maki, Auteur ; M. Ishiahra, Auteur ; M. Tamura, Auteur Année de publication : 2004 Article en page(s) : pp 440 - 450 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] image SPOT-Végétation
[Termes IGN] incendie de forêt
[Termes IGN] Normalized Difference Water Index
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] risque naturel
[Termes IGN] sécheresse
[Termes IGN] stress hydrique
[Termes IGN] surveillance forestièreRésumé : (Auteur) Estimating the water status of vegetation is one of the most important elements in assessing forest fire danger. In this paper, laboratory measurement confirmed a relationship between leaf water status and the normalized difference water index (NDWI), derived from nearinfrared and shortwave-infrared spectral data. Two results were confirmed: (a) NDWI is related to equivalent water thickness, and, (b) in addition to NDWI, the quantity of leaf material must be known in order to estimate vegetation dryness. Based on these findings, the authors developed a vegetation dryness index (VDI) to estimate global vegetation water content. VDI values, calculated by using SPOT/VEGETATION data, were applied to data from a 1998 forest fire in the Russian Far East. This led to two results: (a) VDI was useful for detecting areas with a high potential for ignition, and (b) VDI may have been able to detect the fire-spread direction. Numéro de notice : A2004-190 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.002 En ligne : https://doi.org/10.1016/j.rse.2004.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26717
in Remote sensing of environment > vol 90 n° 4 (30/04/2004) . - pp 440 - 450[article]Impact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
[article]
Titre : Impact of imagery temporal on land-cover change detection monitoring Type de document : Article/Communication Auteurs : R.S. Lunetta, Auteur ; D.M. Johnson, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 444 - 454 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition d'images
[Termes IGN] analyse diachronique
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] détection de changement
[Termes IGN] écosystème
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] image Landsat-TM
[Termes IGN] luminance lumineuse
[Termes IGN] occupation du sol
[Termes IGN] surveillance forestièreRésumé : (Auteur) An important consideration for monitoring land-cover (LC) change is the nominal temporal frequency of remote sensor data acquisitions required to adequately characterize change events. Ecosystem-specific regeneration rates are an important consideration for determining the required frequency of data collections to minimize change omission errors. Clear-cut forested areas in north central North Carolina undergo rapid colonization from pioneer (replacement) vegetation that is often difficult to differentiate spectrally from that previously present. This study compared change detection results for temporal frequencies corresponding to 3-, 7-, and 10-year time intervals for near-anniversary date Landsat 5 Thematic Mapper (TM) data acquisitions corresponding to a single path/row. Change detection was performed using an identical change vector analysis (CYA) technique for all imagery dates. Although the accuracy of the 3-year analysis was acceptable (86.3%, K = 0.55), a significant level of change omission errors resulted (51.7%). Accuracies associated with both the 7-year (43.6%, K = 0. 10) and 10year (37.2%, K= 0.05) temporal frequency analyses performed poorly, with excessive change omission errors of 84.8% and 86.3%, respectively. The average rate of LC change observed over the study area for the 13-year index period (1987-2000) was approximately 1.0% per annum. Overall results indicated that a minimum of 3-4-year temporal data acquisition frequency is required to monitor LC change events in north central North Carolina. Reductions in change omission errors could probably best be achieved by further increasing temporal data acquisition frequencies to a 1-2-year time interval. Numéro de notice : A2004-071 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.10.022 En ligne : https://doi.org/10.1016/j.rse.2003.10.022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26599
in Remote sensing of environment > vol 89 n° 4 (29/02/2004) . - pp 444 - 454[article]Monitoring 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)PermalinkDéveloppement d'une aide de mise en forme cartographique pour images satellites dans le cadre du projet METIS Forêts / A. Caen (2004)PermalinkPermalinkImprovement of an oak canopy model extracted from digital photogrammetry / P. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkPermalinkMonitoring of active fire by the airborne imaging spectrometer MIVIS / A. Barducci (2001)PermalinkForest and fire monitoring with NOAA AVHRR imagery in the central African Republic / I. El Ghazzawi (31/05/1999)PermalinkForest fire monitoring and damage assessment in Mediterranean landscapes through the integration of remote sensing and GIS techniques / Jesus San Miguel-Ayanz (1998)PermalinkIntensive monitoring of forest ecosystems in Europe : Technical report 1997 / Wim de Vries (1997)PermalinkLa reprise de l'activité végétale sur zone incendiée ou l'apport de la télédétection aérospatiale : l'exemple d'Eze-La Turbie (Alpes Maritimes) / Andrée Dagorne in Bulletin du comité français de cartographie, n° 127 - 128 (juin - novembre 1991)Permalink