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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

200 
Brooks, R.R., 1972. Geobotany and Biogeochem- 
istry in Mineral Exploration; Harper and 
Row, New York, 290 p. 
Cannon, H.L., 1960. The Development of Botan 
ical Methods of Prospecting for Uranium on 
the Colorado Plateau; U.S. Geol. Surv. Bull. 
1085-A, pp. 1-50. 
Crane R.B., 1971. Preprocessing Techniques 
to Reduce Atmospheric and Sensor Variabi 
lity in Multispectral Scanner Data; Proc. 
7th Int. Symp. Rem. Sen. Environ., Univ. 
Michigan, Ann Arbor, pp. 1345-1355. 
Crist, E.P., 1983. The Thematic Mapper Tas- 
seled Cap - A Preliminary Formulation; 
Proc. 9th Int. Symp. Machine Processing 
Remotely Sensed Data, Purdue Univ., W. 
Lafayette, Ind., pp. 357-363. 
Deering, D.W., Rouse, J.W., Jr., Haas, R.H., 
and Schell, J.A., 1975. Measuring "Forage 
Production" of Grazing Units from Landsat 
MSS Data; Proc. 10th Int. Symp. Rem. Sen. 
Environ., Environ. Research Inst. Michigan, 
Ann Arbor, pp. 1169-1178. 
Hawkes, H.E., and Webb, J.S., 1962. Geochem 
istry in Mineral Exploration; Harper and 
Row, New York, 415 p. 
Holmes, R.A., 1964. The Effects of Liming on 
the Availability to Plants of Zinc and 
Copper; Research Report no. 23, Div. Soil 
and Fertiliser Investigations, Bureau of 
Plant Industry, Soils and Agricultural 
Engineering. USDA, Beltsville, Md. 
Kauth, R.J., and Thomas, G.S., 1976. The 
Tasselled Cap: A Graphic Description of 
the Spectral-Temporal Development of Agri 
cultural Crops as Seen by Landsat; Proc. 
Symp. Machine Processing Remotely Sensed 
Data, Purdue Univ., W. Lafayette, Ind., 
pp. 4B: 41-51 . 
Nicolls, O.W., Provan, D.M.J., Cole, M.M., 
and Tooms, J.S., 1965. Geobotany and Geo 
chemistry in Mineral Exploration in the 
Dugold River Area, Cloncurry District, 
Australia; Trans. Inst. Min. Metall., 
vo1. 74, pp. 695-799. 
Perel'man, A.I., 1967. Geochemistry of Epi 
genesis; N.N. Kohanowski (trans.), Plenum 
Press, New York, 266 p. 
Perry, C.R., Jr., and Lautenschlager, L.F., 
1984. Functional Equivalence of Spectral 
Vegetation Indices; Rem. Sen. Environ., 
vol. 14, no. 2, pp. 169-182. 
Richardson, A.J., and Wiegand, C.L., 1977. 
Distinguishing Vegetation from Soil Back 
ground Information; Photogram. Eng. Rem. 
Sen., vol. 43, no. 12, pp. 1541-1552. 
Rouse, J.W., Haas, R.H., Schell, J.A., and 
Deering, D.W., 1973. Monitoring Vegetation 
Systems in the Great Plains with ERTS; 
3rd Earth Resources Technology Satellite-1 
Symp., Goddard Space Flight Center, Green- 
belt, Maryland, NASA SP-351, vol. 1, sect. 
A, pp. 309-317.
	        

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