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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
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • Relationship between soil and leaf metal content and Landsat MSS and TM acquired canopy reflectance data. C. Banninger
  • The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions. F. Boochs
  • CAESAR: CCD Airborne Experimental Scanner for Applications in Remote Sensing. N. J. J. Bunnik & H. Pouwels, C. Smorenburg & A. L. G. van Valkenburg
  • LANDSAT TM band combinations for crop discrimination. Sherry Chou Chen, Getulio Teixeira Batista & Antonio Tebaldi Tardin
  • The derivation of a simplified reflectance model for the estimation of LAI. J. G. P. W. Clevers
  • The application of a vegetation index in correcting the infrared reflectance for soil background. J. G. P. W. Clevers
  • The use of multispectral photography in agricultural research. J. G. P. W. Clevers
  • TURTLE and HARE, two detailed crop reflection models. J. A. den Dulk
  • Sugar beet biomass estimation using spectral data derived from colour infrared slides. Robert R. De Wulf & Roland E. Goossens
  • Multitemporal analysis of Thematic Mapper data for soil survey in Southern Tunisia. G. F. Epema
  • Insertion of hydrological decorralated data from photographic sensors of the Shuttle in a digital cartography of geophysical explorations (Spacelab 1-Metric Camera and Large Format Camera). G. Galibert
  • Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá
  • The canopy hot-spot as crop identifier. S. A. W. Gerstl, C. Simmer & B. J. Powers
  • An evaluation of different green vegetation indices for wheat yield forecasting. A. Giovacchini
  • Spectral and botanical classification of grasslands: Auxois example. C. M. Girard
  • The use of Thematic Mapper imagery for geomorphological mapping in arid and semi-arid environments. A. R. Jones
  • Determination of spectral signatures of different forest damages from varying altitudes of multispectral scanner data. A. Kadro
  • A preliminary assessment of an airborne thermal video frame scanning system for environmental engineering surveys. T. J. M. Kennie & C. D. Dale, G. C. Stove
  • Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report). Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong
  • Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon
  • 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
  • Mapping of available solar radiation at ground. Ehrhard Raschke & Martin Rieland
  • Spectral signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
  • Relation between spectral reflectance and vegetation index. S. M. Singh
  • On the estimation of the condition of agricultural objects from spectral signatures in the VIS, NIR, MIR and TIR wavebands. R. Söllner, K.-H. Marek & H. Weichelt, H. Barsch
  • LANDSAT temporal-spectral profiles of crops on the South African Highveld. B. Turner
  • Theoretic reflection modelling of soil surface properties. B. P. J. van den Bergh & B. A. M. Bouman
  • Monitoring of renewable resources in equatorial countries. R. van Konijnenburg, Mahsum Irsyam
  • Assessment of soil properties from spectral data. G. Venkatachalam & V. K. R. Jeyasingh
  • Spectral components analysis: Rationale and results. C. L. Wiegand & A. J. Richardson
  • 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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