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Using spatial data support for reducing uncertainty in geospatial applications / T. Hong in Geoinformatica, vol 18 n° 1 (January 2014)
[article]
Titre : Using spatial data support for reducing uncertainty in geospatial applications Type de document : Article/Communication Auteurs : T. Hong, Auteur ; K. Hart, Auteur ; Leen-Kiat Soh, Auteur ; Ashok Samal, Auteur Année de publication : 2014 Article en page(s) : pp 63 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] exploration de données géographiques
[Termes IGN] incertitude des données
[Termes IGN] Nebraska (Etats-Unis)
[Termes IGN] série temporelleRésumé : (Auteur) Widespread use of GPS devices and ubiquity of remotely sensed geospatial images along with cheap storage devices have resulted in vast amounts of digital data. More recently, with the advent of wireless technology, a large number of sensor networks have been deployed to monitor many human, biological and natural processes. This poses a challenge in many data rich application domains now: how to best choose the datasets to solve specific problems? In particular, some of the datasets may be redundant and their inclusion in analysis may not only be time consuming, but also lead to erroneous conclusions. On the other hand, excluding some of the datasets hastily might skew the observations drawn. We propose the concept of data support as the basis for efficient, cost-effective and intelligent use of geospatial data in order to reduce uncertainty in the analysis and consequently in the results. Data support is defined as the process of determining the information utility of a data source to help decide which one to include or exclude to improve cost-effectiveness in existing data analysis. In this paper we use mutual information—a concept popular in information theory as a measure to compute information gain or loss between two datasets—as the basis of computing data support. The flexibility and effectiveness of the approach are demonstrated using an application in the hydrological analysis domain, specifically, watersheds in the state of Nebraska. Numéro de notice : A2014-028 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0177-z Date de publication en ligne : 12/06/2013 En ligne : https://doi.org/10.1007/s10707-013-0177-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32933
in Geoinformatica > vol 18 n° 1 (January 2014) . - pp 63 - 92[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Forest cutting and impacts on carbon in the eastern United States / Decheng Zhou in Scientific reports, vol 3 (2013)
[article]
Titre : Forest cutting and impacts on carbon in the eastern United States Type de document : Article/Communication Auteurs : Decheng Zhou, Auteur ; Shuguang Liu, Auteur ; Jennifer Oeding, Auteur ; Shuqing Zhao, Auteur Année de publication : 2013 Langues : Anglais (eng) Descripteur : [Termes IGN] capacité de stockage
[Termes IGN] déboisement
[Termes IGN] écologie forestière
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] puits de carbone
[Termes IGN] teneur en carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Forest cutting is a major anthropogenic disturbance that affects forest carbon (C) storage and fluxes. Yet its characteristics and impacts on C cycling are poorly understood over large areas. Using recent annualized forest inventory data, we estimated cutting-related loss of live biomass in the eastern United States was 168 Tg C yr−1 from 2002 to 2010 (with C loss per unit forest area of 1.07 Mg ha−1 yr−1), which is equivalent to 70% of the total U.S. forest C sink or 11% of the national annual CO2 emissions from fossil-fuel combustion over the same period. We further revealed that specific cutting-related C loss varied with cutting intensities, forest types, stand ages, and geographic locations. Our results provide new insights to the characteristics of forest harvesting activities in the eastern United States and highlight the significance of partial cutting to regional and national carbon budgets. Numéro de notice : A2013-771 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1038/srep03547 Date de publication en ligne : 19/12/2013 En ligne : http://www.nature.com/srep/2013/131219/srep03547/full/srep03547.html Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74893
in Scientific reports > vol 3 (2013)[article]Documents numériques
en open access
Full Text PDFAdobe Acrobat PDF An entropy-based multispectral image classification algorithm / Di Long in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)
[article]
Titre : An entropy-based multispectral image classification algorithm Type de document : Article/Communication Auteurs : Di Long, Auteur ; Vijay P. Singh, Auteur Année de publication : 2013 Article en page(s) : pp 5225 - 5238 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] carte d'occupation du sol
[Termes IGN] classificateur
[Termes IGN] entropie maximale
[Termes IGN] Houston (Texas)
[Termes IGN] image Landsat-ETM+Résumé : (Auteur) Employing the entropy theory, this paper presents a new and robust multispectral image classification algorithm. The digital number (DN) in remotely sensed multispectral images is considered as a random variable when judging the allocation of unknown pixels into predefined training classes. If an unknown pixel shows a similar DN vector as the pixels in a training class, it will increase the global entropy defined as the sum of DN probabilities multiplied by the logarithm of DN probabilities for all pixels within the training class. The unknown pixel is to be assigned to the class for which the entropy of the training class is increased most due to the inclusion of the pixel. The proposed entropy-based classification (EC) is compared with the maximum likelihood classification (MLC), parallelepiped classification, minimum distance classification, Mahalanobis distance classification (MDC), iterative self-organizing data analysis technique (ISODATA) classification, and K-means classification. These classifiers were applied to a Landsat Enhanced Thematic Mapper Plus image covering Houston, Texas, USA, acquired on October 16, 1999. A reference land cover map from the National Land Cover Data 2001 of the same area was taken as a ground reference to assess the accuracy of classification results, suggesting that the EC showed comparable overall accuracy as MDC, and they both outperformed other classifiers. The results of MLC can be improved by substituting the multivariate lognormal or gamma distribution for the multivariate normal distribution involved in its assumption. The EC algorithm has the potential to produce reliable land cover maps regardless of the distribution of DN vectors and relevant parameters of probability density functions involved in other classifiers. Numéro de notice : A2013-694 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2272560 En ligne : https://doi.org/10.1109/TGRS.2013.2272560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32830
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 12 (December 2013) . - pp 5225 - 5238[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013121 RAB Revue Centre de documentation En réserve L003 Disponible Illustrating the temporal progress of environmental change / Joann W. Harvey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)
[article]
Titre : Illustrating the temporal progress of environmental change Type de document : Article/Communication Auteurs : Joann W. Harvey, Auteur ; Edwin J. Green, Auteur Année de publication : 2013 Article en page(s) : pp 1159 - 1170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] analyse diachronique
[Termes IGN] détection de changement
[Termes IGN] image NOAA-AVHRR
[Termes IGN] nébulositéRésumé : (Auteur) Remotely sensed Advanced Very High Resolution Radiometer (AVHRR) images, collected during the northern Alaskan growing seasons of 1995 through 2011, and a Bayesian Regression Tree modeling method were brought together, with two novel ideas, to characterize year-to-year environmental change in a multivariate feature space (vegetation, temperature, precipitable water, and cloud cover). The method used collection year as the "response" variable, and the algorithm was applied in two stages to reduce the effects of cloud cover upon the results and to reveal the temporal distribution of cloudy conditions. The analysis identified a shift in environmental conditions between 2003 and 2004 when cloudy and wet conditions were replaced by clear and dry conditions. Gradual changes that occurred throughout the study period were also detected. The analysis also confirmed that it could detect that region's recent (2007, 2010, 2011) warming associated with sea ice melting. Numéro de notice : A2013-692 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.12.1159 En ligne : https://doi.org/10.14358/PERS.79.12.1159 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32828
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 12 (December 2013) . - pp 1159 - 1170[article]Developing an object-based hyperspatial image classifier with a case study using WorldView-2 data / Harini Sridharan in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)
[article]
Titre : Developing an object-based hyperspatial image classifier with a case study using WorldView-2 data Type de document : Article/Communication Auteurs : Harini Sridharan, Auteur ; Fang Qiu, Auteur Année de publication : 2013 Article en page(s) : pp 1027 - 1036 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de formes
[Termes IGN] classification floue
[Termes IGN] Dallas (Texas)
[Termes IGN] image Worldview
[Termes IGN] milieu urbainRésumé : (Auteur) Recent advancements in remote sensing technology have provided a plethora of very high spatial resolution images. From pixel-based processing designed for low spatial resolution data, image processing has shifted towards object-based analysis in order to adapt to the hyperspatial nature of currently available remote sensing data. However, standard object-based classifiers work with only object-level summary statistics of the reflectance values and do not sufficiently exploit within-object reflectance pattern. In this research, a novel approach of utilizing the object-level distribution of reflectance values is presented. A fuzzy Kolmogorov-Smirnov based classifier is proposed to provide an object-to-object matching of the empirical distribution of the reflectance values of each object and derive a fuzzy membership grade to each class. This object-based classifier is tested for urban objects recognition from WorldView-2 data. Results indicate at least 10 percent increase in overall classification accuracy using the proposed classifier in comparison to various popular object- and pixel-based classifiers. Numéro de notice : A2013-597 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.11.1027 En ligne : https://doi.org/10.14358/PERS.79.11.1027 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32733
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 11 (November 2013) . - pp 1027 - 1036[article]Landscape metrics for analysing urbanization-induced land use and land cover changes / Hua Liu in Geocarto international, vol 28 n° 7-8 (November - December 2013)PermalinkMapping and assessing of urban impervious areas using multiple endmember spectral mixture analysis: a case study in the city of Tampa, Florida / Fenqing Weng in Geocarto international, vol 28 n° 7-8 (November - December 2013)PermalinkA method to generalize stream flowlines in small-scale maps by a variable flow-based pruning threshold / Michael Tinker in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)PermalinkPermalinkAssessing the effect of snow/water obstructions on the measurement of tree seedlings in a large-scale temperate forest inventory / C. W. Woodall in Forestry, an international journal of forest research, vol 86 n° 4 (October 2013)PermalinkEstimating the vehicle-miles-traveled implications of alternative metropolitan growth scenarios: A Boston example / Joseph Ferreira Jr in Transactions in GIS, vol 17 n° 5 (October 2013)PermalinkThe signature of self-organisation in cities: Temporal patterns of clustering and growth in street networks / Kinda Al-Sayed in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)PermalinkAssessing the relationship between ground measurements and object-based image analysis of land cover classes in Pinyon and Juniper Woodlands / April Hulet in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)PermalinkAutomated thinning of road networks and road labels for multiscale design of The National Map of the United States / Cynthia A. Brewer in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkDevelopment of a vector-based method for coastal bluffline mapping using LiDAR data and a comparison study in the area of lake Erie / Yunjae Choung in Marine geodesy, vol 36 n° 3 (September - November 2013)PermalinkMapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkUsing hyperspectral reflectance data to assess biocontrol damage of giant salvinia / James H. Everitt in Geocarto international, vol 28 n° 5-6 (August - October 2013)PermalinkSemi-automated analysis of high-resolution aerial images to quantify docks in glacial lakes / Marcus W. Beck in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkUtility of the wavelet transform for LAI estimation using hyperspectral data / Asim Banskota in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)PermalinkAn object-based system for Lidar data fusion and feature extraction / Jarlath P. M. O'Neil-Dunne in Geocarto international, vol 28 n° 3-4 (June - July 2013)PermalinkAssessing the effect of data imports on the completeness of OpenStreetMap: a United States case study / Dennis Zielstra in Transactions in GIS, vol 17 n° 3 (June 2013)PermalinkChallenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)PermalinkEducating students for the extensive range of surveying activities / Daniel T. Gillins in SaLIS Surveying and land information science, vol 73 n° 1 (May 2013)PermalinkHistogram curve matching approaches for object-based image classification of land cover and land use / Sory I. Toure in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkInfluence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkA GIS-based site identification for the seasonal storage of solar heating: Promises and pitfalls / Timothy J. Dolney in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkSeeing the wood for the trees: Opentreemap is helping individuals, organisations and governments to collaborate in mapping, tending and preserving 'urban forest' / Deborah Boyer in GEO: Geoconnexion international, vol 12 n° 4 (april 2013)PermalinkSegmentation hyperspectrale de forêts tropicales par arbres de partition binaires / Guillaume Tochon in Revue Française de Photogrammétrie et de Télédétection, n° 202 (Avril 2013)PermalinkUsing GIS to tackle chronic absenteeism / Jim Baumann in GEO: Geoconnexion international, vol 12 n° 4 (april 2013)PermalinkSpatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr / Linna Li in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)Permalink#Earthquake: Twitter as a distributed sensor system / Andrew Crooks in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkA multi-scale approach to mapping canopy height / Gordon M. Green in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkSpatially variable surface elevation changes and estimated melt water contribution of Continental Glacier in the Wind River Range, Wyoming, USA, 1966-2011 / Jeffrey A. Vanlooy in Geocarto international, vol 28 n° 1-2 (February - May 2013)PermalinkPredicting surface fuel models and fuel metrics using Lidar and CIR imagery in a dense, mountainous forest / Marek Jakubowksi in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)PermalinkTree species discrimination in tropical forests using airborne imaging spectroscopy / Jean-Baptiste Féret in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkNew constraints on the origin of the Hawaiian swell from wavelet analysis of the geoid-to-topography ratio / Cécilia Cadio in Earth and planetary science letters, vol 359–360 (15 December 2012)PermalinkEvaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States / R. Lemons in Geocarto international, vol 27 n° 8 (December 2012)PermalinkLiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy / K. Singh in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkA symmetry detector for map generalization and urban-space analysis / Jan‐Henrik Haunert in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkThe electronically steerable flash Lidar : A full waveform scanning system for topographic and ecosystem structure applications / H. Duong in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 2 (November 2012)PermalinkAn automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)PermalinkLandscape controls over major nutrients and primary productivity of Arctic lakes / P. Pathak in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)PermalinkMulti-model validation of currents in the Chesapeake Bay region in June 2010 / P. Chu in Marine geodesy, vol 35 n° 4 (October - December 2012)PermalinkQuantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region / George Xian in Geocarto international, vol 27 n° 6 (October 2012)PermalinkDecline of forest interior conditions in the conterminous United States / Kurt H. Riitters in Scientific reports, vol 2 (2012)PermalinkSpoofs, proofs & jamming: Towards a sound national policy for civil location and time assurance / L. Scott in Inside GNSS, vol 7 n° 5 (September - October 2012)PermalinkTopographic corrections of satellite data for regional monitoring / S. Goslee in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkApplying six classifiers to airborne hyperspectral imagery for detecting giant reed / C. Yang in Geocarto international, vol 27 n° 5 (August 2012)PermalinkClassification of urban tree species using hyperspectral imagery / R. Jensen in Geocarto international, vol 27 n° 5 (August 2012)PermalinkEstimating irrigated agricultural water use through Landsat TM and a simplified surface energy balance modeling in the semi-arid environments of Arizona / S. Kaplan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkFusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes / J. Im in Geocarto international, vol 27 n° 5 (August 2012)PermalinkPhenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley / L. Zhong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkSynthesizing urban remote sensing through application, scale, data and case studies / E.A. Wentz in Geocarto international, vol 27 n° 5 (August 2012)PermalinkCartographier les minorités aux Etats-Unis / Cécile Marin in Carto, le monde en cartes, n° 12 (juillet - aout 2012)PermalinkGenerating sustainable urban form in Detroit. Design applications utilizing Geodesign methodologies / C. Bodurow in Revue internationale de géomatique, vol 22 n° 2 (Juin - août 2012)PermalinkSt-Charles Parish and GNSS signal shadow issues: Satellite shadow reduction technology / K. Corbley in Geoinformatics, vol 15 n° 4 (01/06/2012)PermalinkEstimating geoid height change in North America: past, present and future / T. Jacob in Journal of geodesy, vol 86 n° 5 (May 2012)PermalinkEstimating urban leaf area index (LAI) of individual trees with hyperspectral data / R. Jensen in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)PermalinkEvaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network / A. Al Bitar in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkPermalinkPersonal privacy jammers: Locating Jersey PPDs jamming GBAS [Ground-Based Augmentation System] safety-of-life signals / J. Grabowski in GPS world, vol 23 n° 4 (April 2012)PermalinkRobust hyperspectral vision-based classification for multi-season weed mapping / Y. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)PermalinkTerrestrial 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)PermalinkUsing GRASS GIS to model solar irradiation on North Carolina aquatic habitats with canopy data / D. Newcomb in Transactions in GIS, vol 16 n° 2 (April 2012)PermalinkWho's watching your food? A flexible framework for public health monitoring / Stacy Supak in Transactions in GIS, vol 16 n° 2 (April 2012)PermalinkThe US Gravimetric Geoid of 2009 (USGG2009): model development and evaluation / Y. Wang in Journal of geodesy, vol 86 n° 3 (March 2012)PermalinkAn edge-oriented approach to thematic map error assessment / S. Sweeney in Geocarto international, vol 27 n° 1 (February 2012)PermalinkAn evaluation of internet versus paper-based methods for public participation geographic information Systems (PPGIS) / A. Pocewicz in Transactions in GIS, vol 16 n° 1 (February 2012)PermalinkMeasuring historical coastal change using GIS and the change polygon approach / M. Smith in Transactions in GIS, vol 16 n° 1 (February 2012)PermalinkProducing an indigenous knowledge Web GIS for Arctic Alaska communities: Challenges, successes, and lessons learned / W. Eisner in Transactions in GIS, vol 16 n° 1 (February 2012)PermalinkA process oriented areal interpolation technique: a coastal county example / B. Kar in Cartography and Geographic Information Science, vol 39 n° 1 (January 2012)PermalinkRetracing the past: recovering 19th century benchmarks to measure shoreline change along the outer shore of Cape Cod, Massachusetts / S. Mague in Cartography and Geographic Information Science, vol 39 n° 1 (January 2012)PermalinkImproving the assessment of ICESat water altimetry accuracy accounting for autocorrelation / Hani Abdallah in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkA volumetric approach to population estimation using lidar remote sensing / Zhong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkBuilding on lessons learned from landscape-level integrated assessment to inform key elements in ILM / L. Bizikova in Geomatica, vol 65 n° 3 (September 2011)PermalinkPermalinkThe development of a web-based demographic data extraction tool for population monitoring / T. Chow in Transactions in GIS, vol 15 n° 4 (August 2011)PermalinkGlobal ortho project / Matteo Luccio in GIM international, vol 25 n° 7 (July 2011)PermalinkMining boundary effects in areally referenced spatial data using the Bayesian information criterion / Sudipto Banerjee in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkA slope-based method for matching elevation surfaces / D. Streutker in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)PermalinkImpervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)PermalinkInfluence of street reference data on geocoding quality / P. Zandbergen in Geocarto international, vol 26 n° 1 (February 2011)PermalinkDelineation of impervious surface from multispectral imagery and lidar incorporating knowledge based expert system rules / K. Germaine in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)Permalink"The map proves it": map use by the American woman suffrage movement / C. Dando in Cartographica, vol 45 n° 4 (December 2010)PermalinkIncorporating data quality information in mapping American community survey data / M. Sun in Cartography and Geographic Information Science, vol 37 n° 4 (October 2010)PermalinkUsing geographical information system to model the effects of green space accessibility on mortality in Florida / C. Coutts in Geocarto international, vol 25 n° 6 (October 2010)PermalinkAn ensemble approach to space-time interpolation / E. Wentz in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)PermalinkTerrestrial laser scanning for use in virtual outcrop geology / S.J. Buckley in Photogrammetric record, vol 25 n° 131 (September - November 2010)PermalinkPredicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)PermalinkLand cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)PermalinkAnomalous diameter distribution shifts estimated from FIA inventories through time / Francis A. Roesch in Forestry, an international journal of forest research, vol 83 n° 3 (July 2010)PermalinkAcquisition, orthorectification, and object-based classification of Unmanned Aerial Vehicle (UAV) imagery for rangeland monitoring / A. Laliberte in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)PermalinkAssessing the accuracy of GEOID03 and GEOID09 in Connecticut / Thomas H. Meyer in SaLIS Surveying and land information science, vol 70 n° 2 (Summer 2010)PermalinkMapping and interpreting the human geography of New Orleans, Louisiana, USA / R. Campanella in Le monde des cartes, n° 204 (juin 2010)PermalinkUrban growth monitoring using remote sensing and geographic information system: a case study in the Twin Cities metropolitain area, Minnesota / F. Yuan in Geocarto international, vol 25 n° 3 (June 2010)PermalinkDetection of roadway sign condition changes using multi-scale sign image matching (M-SIM) / Y.J. Tsai in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)PermalinkFrom the redwood forest to the Gulf Stream waters: human signature nearly ubiquitous in representative US landscapes / Jeffrey A. Cardille in Frontiers in ecology and the environment, vol 8 n° 3 (April 2010)PermalinkThe value of Lidar: in levee recertification and flood management / K. Legleiter in Geoinformatics, vol 13 n° 3 (01/04/2010)PermalinkGum : après les paysagistes, il séduit les industriels… / Bob Sabistina in Le Bois International : l'officiel du bois [édition verte], vol 2010 n° 8 (27 février 2010)PermalinkEvaluation of Terrasar-X observations for wetland INSAR application / S.H. Hong in IEEE Transactions on geoscience and remote sensing, vol 48 n° 2 (February 2010)Permalink