Centre de documentation
scientifique

GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning / Samantha T. Arundel in Transactions in GIS, Vol 24 n° 3 (June 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 3 (June 2020) . - pp 556 - 572 Titre : GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning Type de document : Article/Communication Auteurs : Samantha T. Arundel, Auteur ; Wenwen Li, Auteur ; Sizhe Wang, Auteur Année de publication : 2020 Article en page(s) : pp 556 - 572 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] apprentissage automatique [Termes IGN] apprentissage dirigé [Termes IGN] cartographie topographique [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] collecte de données [Termes IGN] détection automatique [Termes IGN] détection d'objet [Termes IGN] géobalise [Termes IGN] toponyme [Termes IGN] United States Geological Survey Résumé : (Auteur) Machine learning allows “the machine” to deduce the complex and sometimes unrecognized rules governing spatial systems, particularly topographic mapping, by exposing it to the end product. Often, the obstacle to this approach is the acquisition of many good and labeled training examples of the desired result. Such is the case with most types of natural features. To address such limitations, this research introduces GeoNat v1.0, a natural feature dataset, used to support artificial intelligence‐based mapping and automated detection of natural features under a supervised learning paradigm. The dataset was created by randomly selecting points from the U.S. Geological Survey’s Geographic Names Information System and includes approximately 200 examples each of 10 classes of natural features. Resulting data were tested in an object‐detection problem using a region‐based convolutional neural network. The object‐detection tests resulted in a 62% mean average precision as baseline results. Major challenges in developing training data in the geospatial domain, such as scale and geographical representativeness, are addressed in this article. We hope that the resulting dataset will be useful for a variety of applications and shed light on training data collection and labeling in the geospatial artificial intelligence domain. Numéro de notice : A2020-245 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12633 Date de publication en ligne : 08/05/2020 En ligne : https://doi.org/10.1111/tgis.12633 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95307 [article]

Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions / Jason M. Stocker in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 59 - 70 Titre : Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions Type de document : Article/Communication Auteurs : Jason M. Stocker, Auteur ; Mark A. Cochrane, Auteur ; David P. Roy, Auteur Année de publication : 2014 Article en page(s) : pp 59 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] base de données localisées [Termes IGN] données lidar [Termes IGN] hauteur (coordonnée) [Termes IGN] intégration de données [Termes IGN] occupation du sol [Termes IGN] régression linéaire [Termes IGN] United States Geological Survey Résumé : (Auteur) With the acquisition of lidar data for over 30 percent of the US, it is now possible to assess the three-dimensional distribution of features at the national scale. This paper integrates over 350 billion lidar points from 28 disparate datasets into a national-scale database and evaluates if height above ground is an important variable in the context of other national-scale layers, such as the US Geological Survey National Land Cover Database and the US Environmental Protection Agency ecoregions maps. While the results were not homoscedastic and the available data did not allow for a complete height census in any of the classes, it does appear that where lidar data were used, there were detectable differences in heights among many of these national classification schemes. This study supports the hypothesis that there were real, detectable differences in heights in certain national-scale classification schemes, despite height not being a variable used in any of the classification routines. Numéro de notice : A2014-092 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.59 En ligne : https://doi.org/10.14358/PERS.80.1.59 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32997 [article]

A comparative study of Australian cartometric and photogrammetric digital elevation model accuracy / J. Walker in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 7 (July 2006) . - pp 771 - 779 Titre : A comparative study of Australian cartometric and photogrammetric digital elevation model accuracy Type de document : Article/Communication Auteurs : J. Walker, Auteur ; G.R. Willgoose, Auteur Année de publication : 2006 Article en page(s) : pp 771 - 779 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] altimétrie [Termes IGN] analyse comparative [Termes IGN] Australie [Termes IGN] cartométrie [Termes IGN] données de terrain [Termes IGN] erreur géométrique [Termes IGN] modèle numérique de surface [Termes IGN] pente [Termes IGN] précision géométrique (imagerie) [Termes IGN] United States Geological Survey Résumé : (Auteur) This paper explores the accuracy of Digital Elevation Models (DEMs), with particular reference to Australian published DEMs. Direct comparisons were made between cartometric and automatically measured photogrammetric DEMs at various grid spacings with an accurate and dense set of ground truth data. The cartometric dems were found to be more accurate than the photogrammetric DEMs for the small study site in this paper, with RMS errors in elevation of approximately 3.5 m and 4.5 m, respectively, and maximum absolute errors in elevation of approximately 12 m and 28 m, respectively. An important factor for environmental prediction studies is slope, and RMS errors in slope were approximately 6 percent and 20 percent for the cartometric and photogrammetric DEMs, respectively, with maximum absolute errors in slope of approximately 75 percent and 290 percent, respectively. However, use of suitable post-processing such as filtering may reduce the errors in photogrammetric DEMs to at least the same magnitude as cartometric DEMs. The cartometric DEMs were found to satisfy the USGS specifications for Level 2 data. Copyright ASPRS Numéro de notice : A2006-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.7.771 En ligne : https://doi.org/10.14358/PERS.72.7.771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27990 [article]

GIS: infrastructure underpinning for the national map / J. Dangermond in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 10 (October 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 10 (October 2003) . - pp 1159 - 1164 Titre : GIS: infrastructure underpinning for the national map Type de document : Article/Communication Auteurs : J. Dangermond, Auteur ; R. Clint Brown, Auteur Année de publication : 2003 Article en page(s) : pp 1159 - 1164 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] approche participative [Termes IGN] base de données cartographiques [Termes IGN] infrastructure nationale des données localisées [Termes IGN] Organisation gouvernementale [Termes IGN] système d'information géographique [Termes IGN] The National Map (USA) [Termes IGN] United States Geological Survey Résumé : (Auteur) The National Map represents an overwhelming mission to the U.S. Geological Survey (USGS), a mission that has become even more urgent in recent months. Conceptually, The National Map is a virtually continuous database built by many participants to cover our country. This is a highly innovative vision and is founded upon the collective participation of numerous Federal, state, and local government agencies as well as private industry organizations. The National Map mission can only be accomplished through collaboration of many organizations and effective use of geographic information systems (Gis). Gis technology will serve as the foundation for The National Map by providing a framework and mechanism for many organizations to work in concert. Building The National Map depends upon the presence of a strong, open, interoperable Gis infrastructure as well as key Gis technologies and methodologies. Numéro de notice : A2003-270 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.69.10.1159 En ligne : https://doi.org/10.14358/PERS.69.10.1159 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22565 [article]

The National Map from geography to mapping and back again / J.A. Kelmelis in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 10 (October 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 10 (October 2003) . - pp 1109 - 1118 Titre : The National Map from geography to mapping and back again Type de document : Article/Communication Auteurs : J.A. Kelmelis, Auteur ; M.L. Demulder, Auteur ; C.E. Ogrsky, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 1109 - 1118 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] base de données cartographiques [Termes IGN] cartographie numérique [Termes IGN] cartographie par internet [Termes IGN] cartographie topographique [Termes IGN] environnement [Termes IGN] Etats-Unis [Termes IGN] exhaustivité des données [Termes IGN] infrastructure nationale des données localisées [Termes IGN] organisme cartographique national [Termes IGN] stratégie [Termes IGN] système d'information géographique [Termes IGN] The National Map (USA) [Termes IGN] United States Geological Survey Résumé : (Auteur) When the means of production for national base mapping were capital intensive, required large production facilities, and had illdefined markets, Federal Government mapping agencies were the primary providers of the spatial data needed for economic development, environmental management, and national defense. With desktop geographic information systems now ubiquitous, source data available as a commodity from private industry, and the realization that many complex problems faced by society need far more and different kinds of spatial data for their solutions, national mapping organizations must realign their business strategies to meet growing demand and anticipate the needs of a rapidly changing geographic information environment. The National Map of the United States builds on a sound historic foundation of describing and monitoring the land surface and adds a focused effort to produce improved understanding, modeling, and prediction of landsurface change. These added dimensions bring to bear a broader spectrum of geographic science to address extant and emerging issues. Within the overarching construct of The National Map, the U.S. Geological Survey (USGS) is making a transition from data collector to guarantor of national data completeness; from producing paper maps to supporting an online, seamless, integrated database; and from simply describing the Nations landscape to linking these descriptions with increased scientific understanding. Implementing the full spectrum of geographic science addresses a myriad of public policy issues, including land and natural resource management, recreation, urban growth, human health, and emergency planning, response, and recovery. Neither these issues nor the science and technologies needed to deal with them are static. A robust research agenda is needed to understand these changes and realize The National Map vision. Initial successes have been achieved. These accomplishments demonstrate the utility of The National Map to the Nation and give confidence in evolving its future applications. Numéro de notice : A2003-269 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.69.10.1109 En ligne : http://dx.doi.org/10.14358/PERS.69.10.1109 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22564 [article]

Geologic photogrammetry in the US geological survey / C.L. Pillmore in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 8 (august 1989)  

Permalink

Investigations of Spot cartographic applications in the US Geological Survey / J.M. Thormodsgard in CISM Journal, vol 43 n° 2 (June 1989)

Permalink

Investigations of SPOT cartographic applications in the US Geological Survey / J.M. Thormodsgard (13/10/1988)

Permalink

Politics, science, and government mapping policy in the United States, 1800-1925 / Matthew H. Edney in American cartographer (the), vol 13 n° 4 (October 1986)  

Permalink

Technical papers 1986, ASPRS-ACSM Fall convention, Volume 1. ASPRS New frontiers / American society for photogrammetry and remote sensing (1986)

Permalink

Technical papers 1986, ASPRS-ACSM Fall convention, Volume 2. ASPRS New frontiers / American society for photogrammetry and remote sensing (1986)

Permalink

Digital line graph attribute coding standards, USGS digital cartographic data standards, national mapping program / United States geological survey (Etats-Unis) (1984)

Permalink

Digital line graphs from 1:24000 scale maps, USGS digital cartographic data standards, national mapping program / United States geological survey (Etats-Unis) (1984)

Permalink

Overview and USGS activities, USGS digital cartographic data standards, national mapping program / United States geological survey (Etats-Unis) (1984)

Permalink

Digital line graphs from 1:2000000 scale maps, USGS digital cartographic data standards, national mapping program / United States geological survey (Etats-Unis) (1983)

Permalink