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Soil landscapes of Canada: Building a national framework for environmental information / P. Schut in Geomatica, vol 65 n° 3 (September 2011)  

Public [article]  inGeomatica > vol 65 n° 3 (September 2011) . - pp 293 - 309 Titre : Soil landscapes of Canada: Building a national framework for environmental information Type de document : Article/Communication Auteurs : P. Schut, Auteur ; S. Smith, Auteur ; W. Fraser, Auteur ; X. Geng, Auteur ; D. Kroetsch, Auteur Année de publication : 2011 Article en page(s) : pp 293 - 309 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données localisées [Termes IGN] base de données thématiques [Termes IGN] Canada [Termes IGN] carte pédologique [Termes IGN] modélisation spatiale [Termes IGN] occupation du sol [Termes IGN] pédologie locale [Termes IGN] système d'information géographique Résumé : (Auteur) The Soil Landscapes of Canada (SLC) is a national soil map and accompanying database of environmental information for all of Canada, produced and maintained by the Canadian Soil Information Service (CanSIS) which is a part of Agriculture and Agri-Food Canada. The SLC maps were originally published as a set of paper products for individual provinces and regions. The maps were digitized in CanSIS, using one of the first geographic information systems in the world, and linked to soil and landscape attribute tables to serve an evolving variety of spatial modelling applications. The SLCs form the lowest level of the National ecological Framework for Canada. The latest public release of the SLC is version 3.2, which provides updated soil and landscape information for the agricultural areas of Canada. The SLC v3.2 digital coverage includes an extensive set of relational data tables. The component table lists the soil components in each agricultural polygon along with their predicted dominant slope, class, and extent. The soil component codes are also linked to soil attribute tables which define fundamental soil properties, such as classification and parent material, as well as a description of the soil horizons and key soil attributes to a depth of 100 cm. SLC v3.2 adds a new set of landform tables which identify the major landform type in each polygon and indicates the most likely soil components in the upper, mid slope, lower slope, and depressional positions. These soil and landform attributes are designed to support a wide variety of national and international environmental modelling applications, such as the prediction of soil quality change, soil carbon sequestration, and land productivity for different agricultural crops in response to agricultural policy, land management, and climate change scenarios. Future versions of the SLC are under development that will have improved spatial resolution and include soils data for areas beyond the present agricultural zone of Canada. Numéro de notice : A2011-549 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.5623/cig2011-045 En ligne : https://doi.org/10.5623/cig2011-045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31443 [article]

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A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment / C. Puente in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 4 (April 2011) . - pp 363 - 376 Titre : A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment Type de document : Article/Communication Auteurs : C. Puente, Auteur ; G. Olague, Auteur ; S. Smith, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 363 - 376 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] algorithme génétique [Termes IGN] couvert végétal [Termes IGN] érosion [Termes IGN] indice de végétation [Termes IGN] modèle RUSLE [Termes IGN] occupation du sol [Termes IGN] Soil Adjusted Vegetation Index Résumé : (Auteur) This work describes a genetic programming (GP) approach that creates vegetation indices (vi's) to automatically detect the sum of healthy, dry, and dead vegetation. Nowadays, it is acknowledged that VI's are the most popular method for extracting vegetation information from satellite imagery. In particular, erosion models like the "Revised Universal Soil Loss Equation" (RUSLE) can use VI's as input to measure the effects of the RUSLE soil cover factor (C). However, the results are generally incomplete, because most indices recognize only healthy vegetation. The aim of this study is to devise a novel approach for designing new VI's that are better correlated with C, using field and satellite information. Our approach consists on stating the problem in terms of optimization through GP learning, building novel indices by iteratively recombining a set of numerical operators and spectral channels until the best composite operator is found. Experimental results illustrate the efficiency and reliability of our approach in contrast with traditional indices like those of the NDVI and SAVI family. This study provides evidence that similar problems related to soil erosion assessment could be analyzed with our proposed methodology. Numéro de notice : A2011-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.4.363 En ligne : https://doi.org/10.14358/PERS.77.4.363 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30907 [article]

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GIS analysis system for investigating sulphide mineralization in south Sinai, Egypt / H. Abd-El Monsef in Surveying and land information science, vol 64 n° 4 (01/12/2004)

Public [article]  inSurveying and land information science > vol 64 n° 4 (01/12/2004) . - pp 243 - 251 Titre : GIS analysis system for investigating sulphide mineralization in south Sinai, Egypt Type de document : Article/Communication Auteurs : H. Abd-El Monsef, Auteur ; M. El-Ghawaby, Auteur ; S. Smith, Auteur Année de publication : 2004 Article en page(s) : pp 243 - 251 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] carte géologique [Termes IGN] cuivre [Termes IGN] Egypte [Termes IGN] géopositionnement [Termes IGN] minerai [Termes IGN] prospection minérale [Termes IGN] système d'information géographique Résumé : (Auteur) Irregularity of geological variables over adjacent rock units makes the standardization and continuity of base metal spatial distribution uncertain. Previous approaches to predict preferable locations of minerale occurence had often been based on systematic data-grid-network sampling. The St.Catherine region in south Sinai has moderate deposits of sulphide mineralization. Comprehensive studies of sulphide mineralization found in the area provide evidence that this mineralization is controlled by three factors : (1) base-metal concentration distribution, (2) structure alteration and (3) intensity. Variables of each controlling factor have been represented by vector layers and then integrated and analysed using a geographic information system to produce mineral potential maps for the study area. Variables of each controlling factor were analysed for each rock type individually. This approach was used to overcome problems due to the geochemical irregularities of various rock units. Field verification of the integrated mineral potential maps confirmed the presence of copper sulphide in the vicinity of St. Catherine. It was concluded that the maps could be used to define suitable locations for sulphide mineralization exploration. Numéro de notice : A2004-612 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27128 [article]

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Assessment of the use of remote sensing techniques for locating and mapping ordinary high water lines for lakes Kissimmee and Hatchineha in Florida / S. Smith in Surveying and land information science, vol 64 n° 2 (01/06/2004)

Public [article]  inSurveying and land information science > vol 64 n° 2 (01/06/2004) . - pp 113 - 129 Titre : Assessment of the use of remote sensing techniques for locating and mapping ordinary high water lines for lakes Kissimmee and Hatchineha in Florida Type de document : Article/Communication Auteurs : S. Smith, Auteur ; J. Nunley, Auteur ; B. Dewitt, Auteur ; L. Genc, Auteur Année de publication : 2004 Article en page(s) : pp 113 - 129 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] ArcView [Termes IGN] détection de contours [Termes IGN] flore locale [Termes IGN] Floride (Etats-Unis) [Termes IGN] lac [Termes IGN] laisse Résumé : (Auteur) Determination of the ordinary high water line (OHWL) has been and continues to be an important issue for the State of Florida and elsewhere. The OHWL defines the separation of sovereignty lands of the State and private ownership on non-tidal water bodies. We used imagery from multiple sources to determine if (1) the water's edge can be detected around the lake margins and (2) vegetation community shifts can be reliably detected and correlated with OHWL. It was determined that in areas where water is known to be under vegetation canopy or in heavily vegetated marsh there were no distinct indicators of the OHWL on any of the remote sensing images used. This is because overhanging vegetation and emergent macrophytes both obscure the water's edge. We also found that vegetation types varied widely and none appeared to be precise indicators of the OHWL Most of the plant species in the vicinity of the known location of the OHWL were not classified in any one wetland designation and many were found both in wetland and upland areas and, therefore, provided no distinct characteristics that could be consistently identified or mapped in ArcView using remote sensing images. Numéro de notice : A2004-344 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26871 [article]

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