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A hot topic : The role of the geoweb after wildfire / Samantha Brennan in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 10 (October 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 10 (October 2013) . - pp 955 - 963 Titre : A hot topic : The role of the geoweb after wildfire Type de document : Article/Communication Auteurs : Samantha Brennan, Auteur ; Jon Corbett, Auteur Année de publication : 2013 Article en page(s) : pp 955 - 963 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] approche participative [Termes IGN] base de données thématiques [Termes IGN] carte thématique [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] données localisées des bénévoles [Termes IGN] GeoWeb [Termes IGN] incendie de forêt [Termes IGN] mémoire Résumé : (Auteur) The potential of the Geoweb to harness public spatial knowledge is increasingly recognized. Using these technologies, the public can volunteer their locational experiences. In the case of the 2003 Okanagan Mountain Pai Fire, these memories need to be captured or they will soon be forgotten. Collaborating with the Kelowna Fire Museum, this paper describes the creation of an online participatory map that documents public experiences of the fire. Through map-interface, participants contribute their own multimedia information and comment on the contributions of others. This community-based research examines an individual's willingness to volunteer their knowledge. Results examine participant engagement in terms of passive or active map ust perspectives of participants-as-experts, and broader themes of how the Geoweb can educate and preserve experiences about this event. Results demonstrate that while the mapping tool encourages users to interact with information about the fire, there are challenges in adding their own experiences. Numéro de notice : A2013-568 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.14358/PERS.79.10.955 En ligne : https://doi.org/10.14358/PERS.79.10.955 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32704 [article]

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Comparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 245 - 257 Titre : Comparison of forest attributes derived from two terrestrial lidar systems Type de document : Article/Communication Auteurs : Mark J. Ducey, Auteur ; Rasmus Astrup, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 245 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] attribut [Termes IGN] canopée [Termes IGN] caractérisation [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] données lidar [Termes IGN] forêt [Termes IGN] instrumentation Leica [Termes IGN] instrumentation Riegl [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] lasergrammétrie [Termes IGN] semis de points [Termes IGN] télémétrie laser terrestre [Termes IGN] tronc Résumé : (Auteur) Terrestrial lidar (TLS) is an emerging technology for deriving forest attributes, including conventional inventory and canopy characterizations. However, little is known about the influence of scanner specifications on derived forest parameters. We compared two TLS systems at two sites in British Columbia. Common scanning benchmarks and identical algorithms were used to obtain estimates of tree diameter, position, and canopy characteristics. Visualization of range images and point clouds showed clear differences, even though both scanners were relatively high-resolution instruments. These translated into quantifiable differences in impulse penetration, characterization of stems and crowns far from the scan location, and gap fraction. Differences between scanners in estimates of effective plant area index were greater than differences between sites. Both scanners provided a detailed digital model of forest structure, and gross structural characterizations (including crown dimensions and position) were relatively robust; but comparison of canopy density metrics may require consideration of scanner attributes. Numéro de notice : A2013-104 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.245 En ligne : https://doi.org/10.14358/PERS.79.3.245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32242 [article]

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Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest / O. Tsui in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 121 - 133 Titre : Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest Type de document : Article/Communication Auteurs : O. Tsui, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 121 - 133 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] biomasse [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] forêt tempérée [Termes IGN] image radar [Termes IGN] Pinophyta [Termes IGN] polarimétrie radar Résumé : (Auteur) Height measurements from small-footprint discrete-return LiDAR and backscatter coefficients from C- and L-band radar were used independently and in combination to estimate above-ground component and total biomass for a coniferous temperate forest, located on Vancouver Island, British Columbia, Canada. Reference biomass data were obtained from plot-level data and used for comparison against the LiDAR and radar-based biomass models. For the LiDAR-only model, height metrics such as mean first return height and percentiles (e.g., 10th and 90th) of first returns correlated best to total above-ground and stem biomass. While percent of first returns above 2 m and percentiles (75th and 90th) of first returns height metrics correlated best to crown biomass. A comparison between above-ground components and total biomass indicate that stem biomass displayed the highest relationship with the LiDAR measurements while crown biomass showed the lowest relationship with relative root mean squared error ranging from 16% to 22%, respectively. Alternatively, the radar-only models indicated that for C-band radar, a combination of HH and VV backscatter demonstrated the most significant correlation with forest biomass compared to coherence based models with a relative root mean squared error of 53%. For L-band radar, a combination of HH and HV backscatter showed the most significant correlation compared to coherence based models with a relative root mean squared error of 44%. Exploring a mixture of C- and L-band backscatter and coherence based models revealed that a combination of C-HV and L-HV coherence magnitudes provided the best radar relationship with forest biomass with a relative root mean squared error of 35%. Also for all radar-based models, L- and C-band backscatter and coherence magnitudes were poorly correlated with individual biomass components when compared to total above-ground biomass. The addition of C- and L-band backscatter and coherence variables to the LiDAR-only biomass model was also investigated. The results showed that the integration of C-band HH backscatter to the LiDAR-only model significantly improved the relationship with forest biomass by explaining an additional 8.9% and 6.5% of the variability in total aboveground and stem biomass respectively, while C-band polarimetric entropy explained an additional 17.9% of the variability in crown biomass. Improvements in the relative root mean squared errors were also observed ranging from 7.1% to 11.7%. The study suggests that for a temperate forest dominated by coniferous stands, the addition of C-band radar variables to a best LiDAR-only linear model provides improved estimates of above-ground component and total biomass. Numéro de notice : A2012-196 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31643 [article]

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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)  

Public [article]  inRemote sensing of environment > vol 103 n° 1 (15 July 2006) . - pp 67 - 80 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 forestière Résumé : (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 [article]

Integrating 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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4809 - 4828 Titre : Integrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations Type de document : Article/Communication Auteurs : C. Bone, Auteur ; Suzana Dragićević, Auteur ; A. Roberts, Auteur Année de publication : 2005 Article en page(s) : pp 4809 - 4828 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification floue [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] forêt [Termes IGN] incertitude des données [Termes IGN] Insecta [Termes IGN] modèle cartographique [Termes IGN] Pinus ponderosa [Termes IGN] sous ensemble flou [Termes IGN] système expert Résumé : (Auteur) The use of fuzzy set theory has become common in remote sensing and geographical information system (GIS) applications to deal with issues surrounding the uncertainty of geospatial datasets. The objective of this study is to develop a model that integrates the concept of fuzzy set theory with remote sensing and GIS in order to produce susceptibility maps of insect infestations in forest landscapes. Fuzzy set theory was applied to information extracted from multiple-year high resolution remote sensing data and integrated in a rasterbased GIS to create a map indicating the spatial variation of insect susceptibility in a landscape. Variable-specific fuzzy membership functions were developed based on expert knowledge and existing data, and integrated through a semantic import model. The results from a case study on mountain pine beetle (Dendroctonus ponderosae Hopkins) illustrate that the model provides a method to successfully estimate areas of varying susceptibility to insect infestation from high resolution remote sensing images. It was concluded that fuzzy sets are an adequate method for dealing with uncertainty in defining susceptibility variables. The susceptibility maps can be utilized for guiding management decisions based on the spatial aspects of insect-host relationships. Numéro de notice : A2005-468 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500239180 En ligne : https://doi.org/10.1080/01431160500239180 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27604 [article]

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The choice of window size in approximating topographic surfaces from digital elevation models / M. Albani in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)  

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Mountain pine beetle red-attack forest damage classification using stratified Landsat TM data in British Columbia, Canada / Steven E. Franklin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)

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Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology / M. Roth in International Journal of Remote Sensing IJRS, vol 10 n° 11 (November 1989)  

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A comparison of images from a pushbroom scanner with normal color aerial photographs for detecting scattered recent conifer mortality / I.D. Kneppeck in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 3 (march 1989)  

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The effects of bark beetle stress on the foliar spectral reflectance of lodgepole pine / F.J. Ahern in International Journal of Remote Sensing IJRS, vol 9 n° 9 (September 1988)  

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Thematic Mapper and Spot integration with a geographic information system / D.G. Goodenough in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 2 (february 1988)

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Photogrammetric and glaciological studies of Salmon Glacier / Dieter Haumann in Arctic, vol 13 n° 2 (June 1960)  

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