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

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

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:
Relationship between soil and leaf metal content and Landsat MSS and TM acquired canopy reflectance data. C. Banninger
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

TABLE 4 
Landsat Thematic Mapper Bands and Transformations Used in 
Statistical Analysis 
.ysis 
ldex^ 
.on 
5 
c 
5X 
5 
;er 
:er 
Lte involved 
copper, 
usually 
netals pre- 
the latter 
plant for 
Band 
Band 
Band 
Band 
Band 
Band 
1 (TM1) 
2 (TM2) 
3 (TM3) 
4 (TM4) 
5 (TM5) 
7 (TM7) 
Landsat 
TM Band 
Band 
4 - Band 1 
(BD1 ) 
Band Difference 
Band 
4 - Band 2 
(BD2) 
Band 
4 - Band 3 
(BD3) 
Band 
4 - Band 5 
(BD5) 
Band 
4 - Band 7 
(BD7) 
Band 
4/Band 1 
(R41 ) 
Simple Band Ratio 
Band 
4/Band 2 
(R42) 
Band 
4/Band 3 
(R43) 
Band 
4/Band 5 
(R45) 
Band 
4/Band 7 
( R47 ) 
Band 
2/Band 3 
(R23) 
Band 
3/Band 1 
(R31 ) 
Band 
5/Band 7 
(R57) 
Normalised Difference 
1 
(TMB) Brightness Index 
1 
(TMG) Greenness Index 
1 
(TMW) Wetness Index 
First Principal Component (PC1) 
Second Principal Component (PC2) 
Third Principal Component (PC3) 
Source: 1. Crist (1983) 
(Band 
4 
- Band 
1)/(Band 
4 
+ 
Band 
1) 
(ND1 ) 
(Band 
4 
- Band 
2)/(Band 
4 
+ 
Band 
2) 
(ND2 ) 
(Band 
4 
- Band 
3)/(Band 
4 
+ 
Band 
3) 
(ND3) 
(Band 
4 
- Band 
5)/(Band 
4 
+ 
Band 
5) 
(ND5) 
(Band 
4 
- Band 
7)/(Band 
4 
+ 
Band 
7) 
(ND7) 
0.3037(TM1) 
+0.5585(TM4) 
-0.2848(TM1) 
+0.7243(TM4) 
+ 0.2793(TM2) 
+ 0.5082(TM5) 
- 0.2435(TM2) 
+ 0.0840(TM5) 
+ 0.4743(TM3) 
+0.1863(TM7) 
- 0.5436(TM3) 
- 0.1800(TM7) 
0.1509(TM1) + 0.1973(TM2) +0.3279(TM3) 
+0.3406(TM4) - 0.7112(TM5) - 0.4572(TM7) 
;rous refer- 
containing 
sad, and 
sf these 
Eor zinc 
al. , 1965; 
correlation 
ic content 
and needle 
with the 
ito the 
ports the 
the spruce 
ited manner 
in the tree 
ihanisms, 
id copper is 
ns operating 
and copper 
le most part, 
t system. As 
i the trees 
from the 
affects that 
n a tree's 
3 , if not 
netals may 
oolism in 
ny of the 
s and trans- 
formations to discriminate changes in the 
spectral response of the spruce tree canopy 
associated with increasing levels of copper, 
lead, and zinc in the underlying soil and 
their much weaker capacity to do so with 
respect to needle metal content further 
supports the premiss that the primary cen 
tre of heavy metal toxicity in the spruce 
trees resides in their root systems and not 
in their foliar parts. 
ACKNOWLEDGEMENTS: This work was supported 
by a joint grant from the Austrian Ministry 
of Science and Research and the Scientific 
Research Office of the government of Styria. 
REFERENCES 
Antonovics, J., Bradshaw, A.D., and Turner, 
R.G., 1971. Heavy Metal Tolerance in Plants; 
in Advances in Ecological Research (vol. 
7), J.B. Cragg (ed.), Academic Press, Lon 
don, pp. 1-85. 
Banninger, C., 1985a. Geobotanical Remote 
Sensing of Heavy Metal Stressed Vegeta 
tion Using Landsat MSS Data; Proc. Fourth 
Thematic Conf.: Rem. Sen. for Explor. Geo 
logy, San Francisco, Environ. Research 
Inst. Michigan, pp. 339-345. 
Banninger, c., 1985b. Evaluation of Landsat 
MSS Bands and Transformations for Detect 
ing Heavy Metal Stress in Forest-Covered 
Areas; Proc. Int. Geoscience and Rem. Sen. 
Symp. (IGARSS 1 85), Univ. Massachusetts, 
Amherst, pp. 957-963. 
Banninger, C., 1985c. Spectral Analysis of a 
Heavy Metal Stressed Forest Canopy Using 
Landsat Thematic Mapper Data; 3rd Int. 
Colloquium Spectral Signatures of Objects 
in Rem. Sen., Les Arcs, France, pp. 403- 
407. 
Banninger, C., 1986. Spectral Discrimination 
of Geobotanical Anomalies Using Landsat 
Thematic Mapper Data; 3rd Int. Symp. Opti 
cal and Optoelectronic Applied Sciences 
and Engineering (SPIE), Innsbruck, Austria, 
in Press. 
Bolviken, B., Honey, F., Levine, S.R., Lyon, 
R.J.P., and Prelat, A., 1977. Detection of 
Naturally Heavy Metal Poisoned Areas by 
Landsat-1 Digital Data; J. Geochem. Explor., 
vol. 8, pp. 457-471 . 
Bowen, H.J.M., 1966. Trace Elements in Bio 
chemistry; Macmillan, London, 241 p.
	        

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