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Remote sensing for resources development and environmental management (Volume 2)

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fullscreen: Remote sensing for resources development and environmental management (Volume 2)

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:
Regional geologic mapping of digitally enhanced Landsat imagery in the southcentral Alborz mountains of northern Iran. Sima Bagheri, Ralph W. Kiefer
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 2)
  • Cover
  • Title page
  • Title page
  • Title page
  • Table of contents
  • 5 Non-renewable resources: Geology, geomorphology and engineering projects. Chairman: J. V. Taranik, Liaison: B. N. Koopmans
  • Application of stereo-terrestrial photogrammetric technique to varied geoscientific investigations. N. K. Agarwal
  • Regional geologic mapping of digitally enhanced Landsat imagery in the southcentral Alborz mountains of northern Iran. Sima Bagheri, Ralph W. Kiefer
  • Operational satellite data assessment for drought/disaster early warning in Africa: Comments on GIS requirements. Hubertus L. Bloemer & Scott E. Needham, Louis T. Steyaert
  • Comparison between interpretations of images of different nature. G. Bollettinari, F. Montovani
  • Global distributive computer processing systems for environmental monitoring, analysis and trend modeling in early warning and natural disaster mitigation. J. O. Brumfield, H. H. L. Bloemer
  • Geological analysis of the satellite lineaments of the Vistula Delta Plain, Zulawy Wislane, Poland. Barbara Daniel Danielska & Stanislaw Kibitlewski, Andrzej Sadurski
  • Analysis of lineaments and major fractures in Xichang-Dukou area, Sichuan province as interpreted from Landsat images. Lu Defu, Zhang Wenhua & Liu Bingguang, Xu Ruisong & Jang Baolin
  • Application of remote sensing in the field of experimental tectonics. J. Dehandschutter
  • Thematic mapping from aerial photographs for Kandi Watershed and Area Development Project, Punjab (India). B. Didar Singh & Kanwarjit Singh
  • Assessment of desertification in the lower Nile Valley (Egypt) by an interpretation of Landsat MSS colour composites and aerial photographs. A. Gad & L. Daels
  • Spring mound and aioun mapping from Landsat TM imagery in south-central Tunisia. Arwyn Rhys Jones & Andrew Millington
  • Application of MEIS-II multispectral airborne data and CIR photography for the mapping of surficial geology and geomorphology in the Chatham area, Southwest Ontario, Canada. A. B. Kesik, H. George & M. M. Dusseault
  • Remote sensing methods in geological research of the Lublin coal basin, SE Poland. Stanislaw Kibitlewski & Barbara Daniel Danielska
  • Photo-interpretation of landforms and the hydrogeologic bearing in highly deformed areas, NW of the gulf of Suez, Egypt. E. A. Korany, L. L. Iskandar
  • Monitoring geomorphological processes in desert marginal environments using multitemporal satellite imagery. A. C. Millington & A. R. Jones, N. Quarmby & J. R. G. Townshend
  • Remote sensing assessment of environmental impacts caused by phosphat industry destructive influence. S. C. Mularz
  • Remote sensing for survey of material resources of highway engineering projects in developing countries. R. L. Nanda
  • Remote Sensing applications in the Eastern Bolivia Mineral Exploration Project (Proyecto Precambrico): Techniques and prospects. E. O'Connor & J. P. Berrange
  • Detecting and mapping of different volcanic stages and other geomorphic features by Landsat images in 'Katakekaumene', Western Turkey. F. Sancar Ozaner
  • A remote sensing methodological approach for applied geomorphology mapping in plain areas. Elíseo Popolizio, Carlos Canoba
  • Use of (stereo-) orthophotography prepared from aerial and terrestrial photographs for engineering geological maps and plans. Niek Rengers
  • Small scale erosion hazard mapping using landsat information in the northwest of Argentina. Jose Manuel Sayago
  • The study of mass movement from aerial photographs. Varoujan Kh. Sissakian
  • An evaluation of potential uranium deposit area by Landsat data analysis in Officer basin, South-Western part of Australia. H. Wada & K. Koide, Y. Maruyama & M. Nasu
  • Digital analysis of stereo pairs for the detection of anomalous signatures in geothermal fields. E. Zilioli, P. A. Brivio, M. A. Gomarasca & R. Tomasoni
  • 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff
  • 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee
  • 8 Geo-information systems. Chairman: J. J. Nossin
  • Cover

Full text

558 
also be used to examine intraclass variability, to 
examine how separability may change with an 
increase or decrease in the number of channels 
utilized, and to determine the spectral channels 
most useful for classifying specific class pairs. 
The transformed divergence analysis identified the 
optimum subset of two MSS bands as bands 5 (.5 to 
.6 ;jm) and 7 (.8 to 1.1 /am). Note that the selected 
bands are those that have been generally recommended 
for geologic analysis. The transformed divergence 
algorithms allow the analyst to determine if infor 
mation classes are spectrally unique or should be 
modified by merging or deleting classes. 
The resulting classification of rock types (not ill 
ustrated here), based on the procedures described 
above, is estimated to be about 80% accurate based on 
field data. 
4. STRUCTURAL CHARACTERISTICS OF LINEAMENTS 
DETECTED FROM ENHANCED LANDSAT IMAGERY 
The major structural elements of the southcentral 
Alborz Mountains are faults. These faults trend 
east-west, causing the Precambrian formations drop 
from the height of Alam Kuh (4800 m) to an unknown 
depth below Kavir plain (Asserto, 1966, Stocklin, 
1974). 
The fracture traces of Qazvin Plain located near the 
far west boundary of the study area are typical 
expressions of such structure and trend ESE to WNW 
parallel to the main trends of the area. Some east- 
striking structural elements interfere with this 
strike direction and are visible in the southern 
border of Alborz Mountains. It is postulated that 
the interplay of these trends contributed to the 
occurrence of Boyin Earthquake. 
Topographic lineaments are additional features 
depicted on Landsat scene of the study area. They 
are characterized by the alignment of topographic 
features and tonal alignments indicated by specific 
soil, moisture, vegetation and relief. 
On the basis of analysis of the enhanced Landsat MSS 
images of the study area, most of the topographic 
lineaments, faults, and other lineaments seem to be 
related to a system of compressional stress that 
extends from the south or central Iranian Plateau to 
the north. The tectonic activity along this stress 
zone has been going on since Cretaceous time 
(Stocklin, 1974). The most recent activity was 
manifested by numerous earthquakes, suggesting that 
the evolution of the range is still in progress. 
5. CORRELATION OF LINEAMENTS WITH EARTHQUAKE 
AND MINERAL OCCURRENCES 
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The small scale of Landsat images makes the alignment 
of individual features across large areas more 
obvious. Within the study area there are several 
lineaments that possess characteristics normally 
associated with faults, which are classified as such 
and marked by names (Figure 3). The main fault 
traces correspond to Kandovan, Garmabdar, Fasham- 
Musha and Tuchal-Karaj faults. These fault traces 
appear on the enhanced Landsat images as terrain 
scars, and are easily recognizable over a distance of 
many kilometers. The continuity of the Garmabdar 
Fault, particularly at its western end, is surprising 
when compared with information previously acquired. 
On a geology map (Asserto, 1966), the location of the 
Garmabdar Fault is in part assumed, and shows a bend 
toward north that can be confirmed by examination of 
the Landsat images. 
Despite the linearity of the Fasham-Musha Thrust, 
there are minor bends in the fault that may, in fact, 
be small offsets at its intersection with several 
small transverse faults. This suggests that tectonic 
forces have continued to be active in recent times. 
Based on geological mapping, this lineament is the 
trace of a high angle fault, with evidence of fault 
breccia and stratigraphic displacement on the ground. 
It is clearly depicted on the Landsat MSS images that 
all the fold axes here are parallel to the trace of 
this thrust. In addition to the trace of the fault, 
the outline of Shahrestanak Klippe, a calcareous 
allochthonous, mass is traceable. 
In the case of Tuchal-Karaj Upthrust, the line of 
structure seems to be fairly clear indication of a 
thrust marking the Alborz front as a continuous scar. 
The trace of this thrust is marked by springs and 
patches of vegetation that appear in dark tone on the 
Landsat images. This fault separates the gentle 
morphology of short ridges and elongated hills to its 
southern side from the intensity folded zone to its 
northern side. 
In addition to fault lineaments, several fracture 
zones were identified on the enhanced Landsat imagery 
of the study area. These features include linear 
features attributable to terrain discontinuities that 
are arranged in sets having a common orientation. 
The identification of previously unknown lineaments 
and fracture systems has been a major contribution of 
Landsat image analysis in mineral exploration and the 
identification of earthquake occurrences. Indica 
tions of the relationship between lineaments and 
zones of seismic activities, as well as mineral 
ization areas, can be detected by comparative 
analysis of lineament maps, maps of the regional 
distribution of mineral deposits, and epicenter maps 
of historical earthquakes. 
The detection of such information on Landsat imagery 
could provide a better understanding of seismic risk 
hazards or mineral concentration locations for reg 
ional development schemes. The information derived 
from an analysis of lineament concentrations can 
indicate where the crust is the weakest and, there 
fore, most likely to be mineralized or susceptible to 
seismic activity. 
For the purpose of this study, overlays were prepared 
depicting (1) the occurrence of phosphate deposits 
and (2) the epicenters of historic earthquakes within 
the study area. These overlays were compared with 
the orientation of the lineaments interpreted from 
enhanced and classified Landsat images. 
A correlation was found between the distribution of 
phosphate deposits in central Alborz (Geological 
Survey of Iran, 1974), and lineament trends expressed 
on the Landsat images. The comparison also demon 
strated the dependence of seismically active zones on 
the regional structural features and showed a good 
agreement between the general distribution of epi 
centers and active faults. 
The significance of these correlations in future 
mineral exploration and earthquake risk hazard 
assessment is of invaluable importance. 
6. SUMMARY 
Landsat images are being used operationally in the 
completion of geologic maps of different parts of the 
world. Geologic maps based on Landsat-derived 
information are especially useful in providing 
WORKS CIT] 
Assereto, 
Valley. 
Gansser, i 
vations 
Petr. M: 
Geological 
11, Tehi 
Haack, B.l 
Polarize 
gating 
Engineei 
340. 
Pohn, H.A. 
logic I 
Conferee 
Colorado 
Siegal, B. 
Sensing 
Stocklin, 
of Iran, 
Stocklin, 
Scottish 
SELECTED B 
American 
Sensing 
Sensing 
American 
Sensing 
Quality 
Remote S 
American S 
Remote S
	        

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