Centre de documentation
scientifique

Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques / Peter G. Chirico in Journal of maps, vol 17 n° 4 (October 2021)  

Public [article]  inJournal of maps > vol 17 n° 4 (October 2021) . - pp 241 - 252 Titre : Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques Type de document : Article/Communication Auteurs : Peter G. Chirico, Auteur ; Sarah E. Bergstresser, Auteur ; Jessica D. DeWitt, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 241 - 252 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] aménagement du territoire [Termes IGN] archives [Termes IGN] bassin hydrographique [Termes IGN] cartographie géomorphologique [Termes IGN] croissance urbaine [Termes IGN] détection de changement [Termes IGN] érosion anthropique [Termes IGN] modèle numérique de surface [Termes IGN] modélisation spatiale [Termes IGN] photogrammétrie numérique [Termes IGN] photographie aérienne [Termes IGN] structure-from-motion [Termes IGN] Virginie (Etats-Unis) Résumé : (auteur) Increasing urbanization and suburban growth in cities globally has highlighted the importance of land planning using detailed geomorphologic maps that depict anthropogenic landform changes. Such mapping provides information crucial for land management, hazard identification, and the management of the challenges arising from urbanization. The development and use of quantitative and repeatable methods to map anthropogenic and natural processes are required to advance the science of urban geomorphological mapping. This study investigated the application of geospatial modeling, structure-from-motion (SfM) photogrammetric methods and DEM differencing as means of quantifying anthropogenic landform changes from archival aerial imagery. Anthropogenic landforms were incorporated into a detailed geomorphologic map in an urbanizing watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia. Numéro de notice : A2021-813 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1080/17445647.2020.1746419 Date de publication en ligne : 01/04/2020 En ligne : https://doi.org/10.1080/17445647.2020.1746419 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98887 [article]

Terrestrial laser scanning for delineating in-stream boulders and quantifying habitat complexity measures / J. Resop in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 363 - 371 Titre : Terrestrial laser scanning for delineating in-stream boulders and quantifying habitat complexity measures Type de document : Article/Communication Auteurs : J. Resop, Auteur ; J. Kozarek, Auteur ; W. Hession, Auteur Année de publication : 2012 Article en page(s) : pp 363 - 371 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] habitat animal [Termes IGN] rivière [Termes IGN] rocher [Termes IGN] tachéomètre électronique [Termes IGN] Virginie (Etats-Unis) Résumé : (Auteur) Accurate stream topography measurement is important for many ecological applications such as hydraulic modeling and habitat characterization. Habitat complexity measures are often made using visual approximations or total station (TS) surveying that can be subjective and have limited spatial resolution. Terrestrial laser scanning (TLS) can measure topography at a high resolution and accuracy. Two methods, TS surveying and TLS, were compared for measuring complex topography in a boulder-dominated 100 m forested reach of the Staunton River in Shenandoah National Park, Virginia. The mean absolute difference between the two datasets was 0.11 m with 82.3 percent of the TS data within _0.1 m of TLS. The TLS dataset was processed to remove vegetation and create a 2 cm digital elevation model (DEM). An algorithm was developed for delineating rocks within the stream channel from the DEM. A common ecological metric based on the structural complexity of the stream, percent in-stream rock cover, was calculated from the TLS dataset, and the results were compared to estimates from traditional methods. This application illustrates the potential of TLS to quantify habitat complexity measures in an automated, unbiased manner. Numéro de notice : A2012-179 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.363 En ligne : https://doi.org/10.14358/PERS.78.4.363 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31626 [article]

Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier / R. Philipps in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 107 - 116 Titre : Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier Type de document : Article/Communication Auteurs : R. Philipps, Auteur ; L. Watson, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 107 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] analyse en composantes principales [Termes IGN] classificateur paramétrique [Termes IGN] classification hybride [Termes IGN] décomposition d'image [Termes IGN] image Landsat-ETM+ [Termes IGN] image multitemporelle [Termes IGN] précision de la classification [Termes IGN] Rondonia (Brésil) [Termes IGN] Virginie (Etats-Unis) Résumé : (Auteur) Feature reduction in a remote sensing dataset is often desirable to decrease the processing time required to perform a classification and improve overall classification accuracy. This paper introduces a feature reduction method based on the singular value decomposition (SVD). This SVD-based feature reduction method reduces the storage and processing requirements of the SVD by utilizing a training dataset. This feature reduction technique was applied to training data from two multitemporal datasets of Landsat TM/ETM+ imagery acquired over a forested area in Virginia, USA and Rondônia, Brazil. Subsequent parallel iterative guided spectral class rejection (pIGSCR) forest/non-forest classifications were performed to determine the quality of the feature reduction. The classifications of the Virginia data were five times faster using SVD-based feature reduction without affecting the classification accuracy. Feature reduction using the SVD was also compared to feature reduction using principal components analysis (PCA). The highest average accuracies for the Virginia dataset (88.34%) and for the Rondônia dataset (93.31%) were achieved using the SVD. The results presented here indicate that SVD-based feature reduction can produce statistically significantly better classifications than PCA. Copyright ISPRS Numéro de notice : A2009-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29660 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-09011	SL	Revue	Centre de documentation	Revues en salle	Disponible

Estimating 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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 59 n° 6 (November 2005) . - pp 342 - 360 Titre : Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data Type de document : Article/Communication Auteurs : Z.J. Bortolot, Auteur ; R. Wynne, Auteur Année de publication : 2005 Article en page(s) : pp 342 - 360 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] couvert forestier [Termes IGN] données de terrain [Termes IGN] données lidar [Termes IGN] forêt tempérée [Termes IGN] houppier [Termes IGN] lasergrammétrie [Termes IGN] masse végétale [Termes IGN] optimisation (mathématiques) [Termes IGN] Pinus taeda [Termes IGN] régression [Termes IGN] sylviculture [Termes IGN] Virginie (Etats-Unis) Résumé : (Auteur) A new individual tree-based algorithm for determining forest biomass using small footprint LiDAR data was developed and tested. This algorithm combines computer vision and optimization techniques to become the first training data-based algorithm specifically designed for processing forest LiDAR data. The computer vision portion of the algorithm uses generic properties of trees in small footprint LiDAR canopy height models (CHMs) to locate trees and find their crown boundaries and heights. The ways in which these generic properties are used for a specific scene and image type is dependent on 11 parameters, nine of which are set using training data and the Nelder-Mead simplex optimization procedure. Training data consist of small sections of the LiDAR data and corresponding ground data. After training, the biomass present in areas without ground measurements is determined by developing a regression equation between properties derived from the LiDAR data of the training stands and biomass, and then applying the equation to the new areas. A first test of this technique was performed using 25 plots (radius = 15 m) in a loblolly pine plantation in central Virginia, USA (37.42N, 78.68W) that was not intensively managed, together with corresponding data from a LiDAR canopy height model (resolution = 0.5 m). Results show correlations (r) between actual and predicted aboveground biomass ranging between 0.59 and 0.82, and RMSEs between 13.6 and 140.4 t/ha depending on the selection of training and testing plots, and the minimum diameter at breast height (7 or 10 cm) of trees included in the biomass estimate. Correlations between LiDAR-derived plot density estimates were low (0.22 Numéro de notice : A2005-490 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27626 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-05041	SL	Revue	Centre de documentation	Revues en salle	Disponible

A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery / C. Bachmann in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) . - pp 2488 - 2499 Titre : A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery Type de document : Article/Communication Auteurs : C. Bachmann, Auteur ; M.H. Bettenhausen, Auteur ; R.A. Fusina, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 2488 - 2499 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classificateur [Termes IGN] classification [Termes IGN] image aérienne [Termes IGN] image HYMAP [Termes IGN] image hyperspectrale [Termes IGN] image PROBE [Termes IGN] littoral [Termes IGN] occupation du sol [Termes IGN] parc naturel [Termes IGN] Virginie (Etats-Unis) Résumé : (Auteur) A credit assignment approach to decision-based classifier fusion is developed and applied to the problem of land-cover classification from multiseason airborne hyperspectral imagery. For each input sample, the new method uses a smoothed estimated reliability measure (SERM) in the output domain of the classifiers. SERM requires no additional training beyond that needed to optimize the constituent classifiers in the pool, and its generalization (test) accuracy exceeds that of a number of other extant methods for classifier fusion. Hyperspectral imagery from HyMAP and PROBE2 acquired at three points in the growing season over Smith Island, VA, a barrier island in the Nature Conservancy's Virginia Coast Reserve, serves as the basis for comparing SERM with other approaches. Numéro de notice : A2003-318 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818537 En ligne : https://doi.org/10.1109/TGRS.2003.818537 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22614 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Retracement of old boundary lines in West Virginia : past, present, and future / F.H. Sipe in Surveying and Mapping, vol 49 n° 3 (Fall 1989)

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Simultaneous block triangulation of the OEEPE SPOT data set / Trifid corporation (1989)

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Continental scale variability in vegetation reflectance and its relationship to canopy morphology / D.S. Bartlett in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)  

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Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations / J.R.G. Townshend in International Journal of Remote Sensing IJRS, vol 9 n° 2 (February 1988)  

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Stem count accuracy and species determination in loblolly pine plantations using 35-mm aerial photography / T.D. Needham in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 12 (december 1987)  

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Remote sensing of submerged aquatic vegetation in lower chesapeake bay : a comparison of Landsat MSS to TM imagery / S.G. Ackleson in Remote sensing of environment, vol 22 n° 2 (01/07/1987)  

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Adverse possession in boundary disputes / Harlan J. Onsrud in Surveying and Mapping, vol 46 n° 3 (01/09/1986)

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Technical papers 1986 ACSM-ASPRS annual convention : ACSM 46th annual meeting, ASPRS 52nd annual meeting, Volume 5. Remote sensing / American society for photogrammetry and remote sensing (1986)

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Météorologie du relief terrestre / A. Baldit (1937)

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