Special UNISPACE III volume

Marsteller, Deborah

Bibliographic data

Monograph

Persistent identifier:: 856485039

Author:: Marsteller, Deborah

Title:: Special UNISPACE III volume

Sub title:: including: ISPRS Workshop on "Resource Mapping from Space", ISPRS-EARSeL Workshop on "Remote Sensing for the Detection, Monitoring and Mitigation of Natural Disasters", ISPRS-NASA Seminar on "Environment and Remote Sensing for Sustainable Development", July 1999, Vienna, Austria

Scope:: IV, 170 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856485039

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

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

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:: Monograph

Collection:: Earth sciences

Chapter

Title:: ISPRS Workshop on "Resource Mapping from Space"

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: LANDSCAPE CHANGES IN SLOVAK REPUBLIC 1970's - 1990's. Jan Feranec, Jan Otahel. Marcel Suri. Tomas Cebecauer

Document type:: Monograph

Structure type:: Chapter

International Archives of Photogrammetry and Remote Sensing. Vol. XXXII Part 7C2, UNISPACE III, Vienna. 1999 64 I5PR5 v^y UNISPACE III - ISPRS WORKSHOP ON “Resource Mapping from Space” 9:00 am -12:00 pm, 22 July 1999, VIC Room B Vienna, Austria ISPRS LANDSCAPE CHANGES IN SLOVAK REPUBLIC 1970’s - 1990’s Jan Feranec, Jan Otahel. Marcel Sun. Tomas Cebecauer Institute of Geography, Slovak Academy of Sciences, Stefanikova 49, 814 73 Bratislava, Slovak Republic 1 Introduction The contemporary progress in the field of mapping, part of which are remote sensing and geographical information systems (G1S), offers new possibilities of observation the landscape changes in various scales - from local to global ones. This trend is characterised by the possibility rendered by remote sensing data to create compatible and comparable databases of extensive territories and in different time horizons that can be analysed using the GIS and presented as thematic maps. Maps of landscape changes presented tlirough the land cover changes are a suitable tool of the knowledge-gathering, analysis, planning intentions and decision-making processes. Map expression of the land cover changes represents an efficient document on the landscape development comprising the semi-natural and natural parts of landscape and simultaneously of the dynamics of the development of urbanised and agricultural landscapes. One of the tasks of the EEA Phare Topic Link on Land Cover Consortium, co-ordinated by the GISAT company from Prague (including other members: HNIT Baltic from Vilnius, Romanian Geological Institute from Bucharest, and the Institute of Geography, Slovak Academy of Sciences from Bratislava) was to create land cover changes database in four Phare countries (Czech Republic, Hungary, Romania and Slovak Republic) representing the period of the IQ's and 90’s. The inputs into the above mentioned database were the satellite images Landsat MSS from the second half of the 70's and the land cover data in scale 1:100 000 from the first half of the 90’s achieved under the CORINE Land Cover Project (CLC). Using the methodology of computer assisted visual interpretation a new database at the second hierarchic level (Feranec and Otahel, 1995) was created, which represents the state of land cover in the 70’s. Its comparison with the CLC data from the 90’s led to creation of database of the land cover changes which took place in the territory of Slovakia over the period of approximately fifteen years. The aim of this contribution is to provide basic characteristics of the newly created database and identified landscape changes in Slovakia in period 70’s - 90’s. 2. Characteristics of the methodology 2.1 Methodology of the land cover changes database CREATION The input data for identification of land cover changes were Landsat TM images and the subsequently created vector database of land cover 1:100 000 under the CLC Project (Feranec and Otahel 1995, Feranec et al. 1996) in 1994-1996. From the temporal point of view this database represents the beginning of the 90’s (1989-1992, hereafter CLC90). Land cover database for the period of the second half of the 70’s (1976-1979, hereafter CLC70) was created by application of the Landsat MSS images. Land cover changes database for the 70’s-90’s period (hereafter CLC70-90) is the result of overlaying of the CLC70 and CLC90 data. The applied methodological procedure can be summarised into the following steps: preparation of the Landsat TM and Landsat MSS satellite data for identification of land cover from the 70’s (CLC70), aggregation of the 3 rd level classes to the 2 nd liierarcliic level of the CLC nomenclature (Hevmann et al. 1994) and segmentation of the vector data CLC90, CLC70 classes identification by modification of the aggregated CLC90 database, part of this step was also revision of the original CLC90 data. mosaicking of the single CLC70 database segments, checking of the physical and logical integrity, creation and adjustment of the changes of the CLC70-90 data by overlaying CLC70 and CLC90, generation of the final CLC70 database. The individual methodological steps were realised by using the software Easi/Pace (preparation of the satellite data for interpretation), ArcView GIS (visual interpretation and databases processing), and Data Automation Kit (final checking and processing). In the preparatory stage the source data were segmented by the sequence of the sheets of 1:100 000 topographic maps (system S-42, Gauss-Kruger map projection). Coloured, contrasted compositions (spectral bands TM 542 and MSS 421) were created from the satellite data and imported in the GeoTIFF format into the ArcView GIS software. Because of poorer resolution of the MSS data (spatial resolution 80 metres, radiometric resolution 6 bits, 4 spectral bands (Feranec et al. 1997)), it was possible to work only with the second liierarcliic level of the CLC nomenclature. Hence the primary data set CLC70 as the source material for identification of the land cover from the IQ's, was created from the CLC90 segments aggregated at the 2 nd level (which reduced the number of land cover classes from 31 at the third level to 13 at the second level). Creation of the CLC70 database was based on the retrospective analysis (donwdating) and confrontation of original CLC90 polygons with the Landsat MSS data from the 70’s and their modification. The computer assisted visual interpretation was carried out using two windows in ArcView GIS. The CLC90 data with the Landsat TM image visualised in the left window 7

Access restriction

Copyright

fullscreen: Special UNISPACE III volume

Monograph

Chapter

Chapter

Table of contents

Cite and reuse

Monograph

Chapter

Image

Image fragment

Citation links

Citation recommendation