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:: 5 Non-renewable resources: Geology, geomorphology and engineering projects. Chairman: J. V. Taranik, Liaison: B. N. Koopmans

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

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Remote sensing methods in geological research of the Lublin coal basin, SE Poland. Stanislaw Kibitlewski & Barbara Daniel Danielska

Document type:: Multivolume work

Structure type:: Chapter

623 3 cmi 4 i I s Figure 9.-The pattern of radar lineaments density /in km/km /: i ->2,0j 2 - 2,0rl,5j 3 - 1,5*1,0; 4 - 1,0*0,5; 5 -<0,5. The satellite lineaments are the continuous lines which extend 8km in average /maximum i6km/ and looal- ly fora the longer trends /up to 50km/. The lineaments of NW-SE /130-150°/ directions, as well as those of ENE-WSW /70°-80°/ and submeridional /300-10°/ pre vail. The first group of lineaments mentioned above /Nïï-SE orientation/ corresponds to the main structu ral direction delimited by the edge of the platform i.e. in this area - by Kock horst anticline and 2y- rzyn-Abraradw-^widnik horst separated by Stoozek-Doro- huoza depression /Pig.7,2B/. The seoond group corre sponds to the directions of the faults /oblique and/or perpendioular to the Kock horst anticline/, especially well developed in the platform area adjacent from NE to this horst. Basing on the comparison of the remote sensing in terpretation with two stages of sucoesive geologioal recognition /Fig.6,7/ it might be stated that the more Figure 11. Statistical diagrams showing: a -faults in Meso-Cainozoic sediments, b -faults in Palaeozolo se diments /state from 1972/, o -faults in Palaeozolo sediments /state from 1983/, d —Landsat lineaments. Figure 12. Landsat lineament pattern:! -best visible, 2 -less visible, 3 -weakly visible, 4 -main settle ments /for comparison only/. Figure 10. Statistical diagrams of radar lineaments: a -for the whole area, b -for morainio plateaux, o - for the area covered with loess, d -for depression with lake sediments. oomplete geologioal data - the better ooinoldenoe of Landsat lineaments and geologioal linear elements /faults/. It means, therefore, that landsat lineaments display weak similarity against the earliest fault pattern interpretation /in the Palaeozolo level/ re maining however, in a distinot ooinoldenoe with the further one based on the more detailed geologioal re cognition of the area. Landsat lineament pattern seems also to give more information, as it oonoems the di rection of the faults oblique and perpendicular to the Kook horst antioline in the area extended towards north-east. It is evident that Landsat lineaments display azi muthal relationship with the faults in Palaeozolo top /compare also with the statistical diagrams - Fig.lib, 11c and lid/ and might represent their surface pro jection. Still comparing remote sensing elements with the

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