Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 8 Geo-information systems. Chairman: J. J. Nossin

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

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Chapter

Title:: A comprehensive LRIS of the Kananaskis Valley using Landsat data. G. D. Lodwick, S. H. Paine, M. P. Mepham & A. W. Colijn

Document type:: Multivolume work

Structure type:: Chapter

927 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 A comprehensive LRIS of the Kananaskis Valley using Landsat data G.D.Lodwick, S.H.Paine, M.P.Mepham & A.W.Colijn The University of Calgary, Alberta, Canada ABSTRACT: This paper describes the design and development of a general land-related information system (LRIS) covering the upper Kananaskis Valley of south western Alberta. Landsat data provide information on surface cover, principally vegetation, as well as on land use. In addition, a range of overlays of thematic data obtained from conventional sources, such as geology, topography, snow-cover, hydrology and pedology, is being added to the LRIS. The land information is stored on a VAX 11/750 computer system using VAX/DBMS a CODASYL compliant network data base system. The primary key is the position-based data defined by the geographic coordinates of the various data types. Information retrieval by various secondary keys is possible. As well, topological relationships have been incorporated into the LRIS design allowing data retrieval in both graphical and tabular form. RÉSUMÉ: Cette contribution décrit la conception et le développement d'un système général d'information foncière (SGIF) couvrant la partie supérieure de la vallée de Kananaskis dans le sud-ouest de l'Alberta. Les données de Landsat fournissent l'information pour la couverture de surface, principalement la végétation, mais aussi l'utilisation de la terre. De plus, une série de recouvrements de données thématiques obtenues de sources conventionnelles telles que la géologie, la topographie, la couverture de neige, l'hydrologie et la pédologie est actuellement ajoutée au SGIF. L'information foncière a été emnagasinee sur un système d'ordinateur VAX 11/750 utilisant VAX/DBMS, un système de banques de données en réseau compatible avec CODASYL. L'adresse primaire est en termes des données de positions définies par les coordonnées géographiques pour les différents types de données. Le retrait de l'information selon des adresses secondaires est aussi possible. De plus, les relations topologiques ont été incorporées dans le SGIF pour permettre le retrait des données sous formes graphique et tabulaire. 1. INTRODUCTION Satellite borne electro-optical systems are being used extensively for thematic mapping data col lection. The primary system is the Landsat Multispectral Scanner (MSS) which is recognized world wide as a useful source of map data. This system was specifically designed for resource mapping, with large area coverage and four spectral bands for discrimination of surface cover detail (Paine, 1984). It has also been used for collection of data for land use mapping (Anderson et al, 1976) and terrain classification (Schreier et al, 1982). In terms of topographic mapping it has been used indirectly for flight planning of photogrammetric missions (Myhre, 1982). Landsat has also been used for direct topographic mapping of uniform surface cover areas, such as ice and snow (Lodwick and Paine, 1985). The Landsat Thematic Mapper (TM) system is also available with roughly the same coverage, but with better ground resolution and seven wavelength bands for better spectral resolution (Holmes, 1984). According to Welch et al (1985) the 20 m positional accuracy of the TM system meets accuracy standards for maps of 1:50,000 or smaller, and is well-suited for image maps of 1:100,000 scale. Electro-optical systems in the future will have all of the advantageous characteristics of the Landsat series, with even better ground resolution and stereo coverage. In the near future, data will be available from the SPOT satellite, which has the capability for collecting stereo images (Holmes, 1984). A proposed system called Mapsat will have continuous stereo coverage from three overlapping detectors (Colvocoresses, 1982). Welch (1985) suggests that the SPOT data should permit the production of topographic maps of 1:50,000 to 1:250,000 scale with contour intervals of 40 to 50 m or greater. Image maps of 1:25,000 to 1:50,000 scale should prove satisfactory to most users. The use of database management systems (DBMSs) has increased sharply over the past few years. Important reasons for this are that such systems facilitate the design and implementation of data bases, which have a very complicated structure, the fact that such systems allow data to be treated consistently and with greater confidence of correct ness, and also that they make it easier for all or parts of a database to be shared by many applica tions and/or users. In return for these advantages there is a price, however. Since a DBMS is an additional "layer" of software between the operating system and the applications programs, and because it is general, instead of being tailor-made for a particular application, there is often a significant overhead, resulting in decreased execution speed. There is also usually a penalty in disk storage space, because often a large number of pointers is maintained automatically by a DBMS, even if not all of them are required for a particular application. Nevertheless, the advantages of using a database management system usually outweigh the disadvan tages. Recent examples of the application of DBMSs to LRISs are reported by Moore et al (1984) and Dangermond and Burns (1986). This research aimed to utilize both the features of remote sensing data acquisition techniques and the advantages of database technology to develop an LRIS containing both natural resources and survey data. It was hoped that this prototype LRIS would show the value of such multi-layered information sets in answering a range of questions in surveying and resource mapping, and to indicate the widespread gains possible through the synthesization of remotely sensed and conventionally derived data.

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