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Remote sensing for resources development and environmental management (Volume 1)

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Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

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:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
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:
3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Selection of bands for a newly developed Multispectral Airborne Reference-aided Calibrated Scanner (MARCS). M. A. Mulders, A. N. de Jong, K. Schurer, D. de Hoop
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 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • Structural information of the landscape as ground truth for the interpretation of satellite imagery. M. Antrop
  • Interpretation of classification results of a multiple data set. Helmut Beissmann, Manfred F. Buchroithner
  • Digital processing of airborne MSS data for forest cover types classification. Kuo-mu Chiao, Yeong-kuan Chen & Hann-chin Shieh
  • Methods of contour-line processing of photographs for automated forest mapping. R. I. Elman
  • Detection of subpixel woody features in simulated SPOT imagery. Patricia G. Foschi
  • A GIS-based image processing system for agricultural purposes (GIPS/ALP) - A discussion on its concept. J. Jin King Liu
  • Image optimization versus classification - An application oriented comparison of different methods by use of Thematic Mapper data. Hermann Kaufmann & Berthold Pfeiffer
  • Thematic mapping and data analysis for resource management using the Stereo ZTS VM. Kurt H. Kreckel & George J. Jaynes
  • Comparison of classification results of original and preprocessed satellite data. Barbara Kugler & Rüdiger Tauch
  • Airphoto map control with Landsat - An alternative to the slotted templet method. W. D. Langeraar
  • New approach to semi-automatically generate digital elevation data by using a vidicon camera. C. C. Lin, A. J. Chen & D. C. Chern
  • Man-machine interactive classification technique for land cover mapping with TM imagery. Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi
  • Space photomaps - Their compilation and peculiarities of geographical application. B. A. Novakovski
  • Processing of raw digital NOAA-AVHRR data for sea- and land applications. G. J. Prangsma & J. N. Roozekrans
  • Base map production from geocoded imagery. Dennis Ross Rose & Ian Laverty, Mark Sondheim
  • Per-field classification of a segmented SPOT simulated image. J. H. T. Stakenborg
  • Digital classification of forested areas using simulated TM- and SPOT- and Landsat 5/TM-data. H.- J. Stibig, M. Schardt
  • Classification of land features, using Landsat MSS data in a mountainous terrain. H. Taherkia & W. G. Collins
  • Thematic Mapping by Satellite - A new tool for planning and management. J. W. van den Brink & R. Beck, H. Rijks
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

303 
Table 1. Summary of vibrational features according 
to Siegal et al. (1980). 
Constituents modes bands in p.m 
h 2 o 
0H' 
oxides 
carbonates 
phosphates 
sulphates 
gypsum 
silicates 
symmetric stretch 3.106 
asymmetric stretch 2.903 
H-O-H bend 6.08 
stretching fundamental 2.77 
Al- or Mg- OH bend 2.2 or 2.3 
Al- OH bend 11 
fundamental 5 
7, 11-12 
9.25, 10.3 
9, 10.2 
overtones and combina 
tion of OH stretching 
in molecular water 1.75, 2.3 
fundamental bending mode 
of constitutional water 6 
Si-0 bending around 5 
Si-0 stretching 10 
H-O-Al bending 11 
Si-O-Si, Al-O-Si 
stretches 12-15 
Table 2. Main infrared absorption bands of humic 
acids after Flaig et al. (1975). 
modes 
bands in pm 
C-H 
C-H, c-h 2 , c-h 3 
carboxylate ion 
C=0 
C=C 
NO 
C=C 
C-H deformation 
salts of carboxylic acids 
C-0 
3.25-3.30 
3.39-3.50 
3.50-4.00 
5.80- 6.10 
6.10-6.31 
6.50 
6.60 
6.80- 7.05 
7.20-7.50 
7.80- 8.80 
The data presented in Fig. 2 on the atmospheric 
absorption, and those on spectral features of soil 
and mineral constituents (Fig. 3 and tables 1 and 
2), together with the well known spectral features 
of vegetation, guided the choice of the MARCS 
bands. With regard to vegetation, one additional 
band (nr. 4) is introduced for detection of 
physiological damage. The information which may be 
obtained from the selected channels is given in 
table 3. 
Table 3. Information potential of the MARCS bands. 
MARCS band in pm Information potential 
1. 
0. 
,31-0. 
40 
2. 
0. 
O 
1 
in 
'd- 
52 
3. 
0. 
,53-0. 
58 
4. 
0. 
,58-0. 
63 
5. 
0. 
,63-0. 
68 
6. 
0. 
.75-0. 
85 
7. 
0, 
.84-0. 
90 
8. 
1. 
.00-1. 
10* 
9. 
1, 
.60-1. 
68 
10. 
1, 
.72-1. 
78 
11. 
2, 
.10-2. 
25* 
12. 
2, 
.32-2. 
38 
13. 
3. 
,40-4. 
10 
14. 
4, 
,50-5. 
20* 
15. 
9. 
.00-10 
'.00* 
16. 
8. 
.00-13 
1.00* 
Fe**, Fe** * 
Fe**, Fe***, blue absorption by 
plants 
green reflectance of plants 
physiological damage of plants 
red absorption by plants, red 
reflectance of soils 
NIR reflectance of plants 
Fe***, NIR reflectance of plants 
NIR reflectance of plants 
reference for plant and soil 
reflectance 
OH in gypsum 
OH, A1-0H, MgOH 
C0 3 ", OH in gypsum 
C-H, c-h 2 , C-H 3 
oxides, Si-0 
phosphates, sulphates, Si-0 
A1-0H, carbonates, H-O-Al 
* indications on plant and soil moisture 
REFERENCES 
Barrett, E.C. and Curtis, L.F. 1976. Introduction 
to Environmental Remote Sensing. London, Chapman 
and Hall: 336 pp. 
Epema, G.F., 1986. Processing of Thematic Mapper 
Data for Mapping Purposes in Tunisia. Proc. 4th 
int. symp. of ISSS working group Remote Sensing 
for Soil Survey, Wageningen-Enschede, ‘The 
Netherlands, 1985, ITC Journal. 
Fitzgerald, E. 1974. Multispectral Scanning Systems 
and their potential Application to Earth 
Resources Surveys. Spectral Properties of 
Materials. ESR0 CR-232, Neuilly, France: 231 pp. 
Flaig, W., Beutelspacher, H. and Rietz, E., 1975. 
Chemical Composition and Physical Properties of 
Humic Substances in Soil Components Vol. I. 
Organic Components (ed. Gieseking, J.E.). 
Springer Verlag, New York: 213 pp. 
Fleagle, R.G. and Businger, J.A. 1963. An 
Introduction to Atmospheric Physics. Academic 
Press, New York. 
Hunt, G.R., Salisbury, J.W. et al. 1970-1976. 
Visible and Near Infrared Spectra of Minerals and 
Rocks I-XII. Modern Geology, Gordon and Breach, 
Science Publ. Ltd., Belfast, N. Ireland. 
Kahle, A.B. and Rowan, L.G. 1980. Evaluation of 
Multispectral Middle Infrared Aircraft Images for 
lithological Mapping in the East Tintic 
Mountains. Utah, Geology, The Geol. Soc. of 
Amer., Boulder, Colorado: p. 234-239. 
Mulders, M.A. 1986. Band Selection in Multispectral 
Scanning for Soil Survey of Arid Zones. Proc. 4th 
int. symp. of ISSS working group Remote Sensing 
for Soil Survey, Wageningen-Enschede, The 
Netherlands, ITC Journal. 
Siegal, B.S. and Gillespie, A.K. 1980. Remote 
Sensing in Geology. John Wiley & Sons, New York: 
702 pp.
	        

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