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

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CC BY: Attribution 4.0 International. You can find more information here.

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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:
Digital analysis of stereo pairs for the detection of anomalous signatures in geothermal fields. E. Zilioli, P. A. Brivio, M. A. Gomarasca & R. Tomasoni
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

689 
respective 
ages. 
I Infrared and 
eff. = s. 
ri 
.48 
-0.16 
-54 
13 
-0.6 
-57 
18 
-0.5b 
.60 
12 
-0.49 
0 
0.5 0.9 0.7 
Graan Rod 
0-9 0.9 (ftm) Wavolongth 
Infrarad 
Figure 5« Diagrams of the mean reflectance derived 
from the mean values of the base colour components, 
a) Gl, b) G2, c)LG and d) MA. DN stands for Digital 
Numbers. 
We remark a good matching between the diagrams of the 
subframes G2 and LG; we also observe a decreasing of 
the mean reflectance from the sub-frame Gl up to MA. 
This fact would mean a high correlation between the 
response in reflectance of the surely geothermal 
zone LG and the zone G2; in both cases thermal IR 
surveys indicated zones where EV was very small, al 
most zero. 
Moreover, the sub-frame MA was the most suspected 
area, since it was the only spot indicated at the 
same time both by FATI and by EV function solutions. 
On the other hand, the sub-frame Gl shows the hi 
ghest reflectance values and that could fully be cor 
related to the highest values of FATI previously che 
cked. 
The arithmetic means of each band ratio have been 
correlated to their standard deviations (see fig.6), 
We remark here that arithmetic means of NDVI sub 
frames keep almost the same values. That confirms the 
spots selected show similar vegetational vigour and 
the mean values of actual NDVI are ranging between 
0.15 and O.bk which correspond to the middle levels 
in the grey scale of fig. 4. 
Moreover, a noticeable difference appears in the 
mean values of the IR/Green ratio between G2 and LG; 
on the contrary, their respective reflectance featu 
res shown in figure 5, resulted to be almost the sa 
me. That means the ratio IR/Green has a more discri 
minating power than the ratio IR/Red and than the 
spectral signature alone. 
In particular, the site MA shows the highest values 
in both ratios and, at the same time, it also pre 
sents the lowest reflectance mean values in according 
to the basic concept of a general decay when vegeta 
tion is submitted to the presence of geothermal fl 
uids. 
255-1 
240- 
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220- 
200- 
180- 
160- 
* 140- 
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120- 
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100- 
80 
60 
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Figure 6. Diagrams of the mean values of band ratios 
at different sites, a) IR/Red, b)lR/Green, c) NDVI 
and d) standard deviation amplitude. 
These arguments authorize to take the suspected zone 
MA Poggio Mauriccia into a higher consideration than 
the other sub-frames. 
Scattergrams of data also have Deen analysed, al 
though no particular indication has outcome beside 
the high correlation that has been found between the 
Green and Red images, almost in all 4 cases. Scat- 
tergrams of band ratios IR/Green and IR/Red con 
firmed the lowest correlation is found for the 
subframe MA. 
4 CONCLUSIONS 
The application of the Derived Tbermal Quantities 
method in the Travale geothermal field has given so 
me unexpected results. 
At first, neither the old field of Lagoni nor the 
new one to the north have been particularly pointed 
out in relation to othen surrounding areas. That gi 
ves rise to some perplexity on the validity of the 
method. 
Nevertheless, some otber interesting indications 
have been provided. Although the checked sub-frames
	        

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