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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:
Spectral components analysis: Rationale and results. C. L. Wiegand & A. J. Richardson
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

352 
Daughtry/ C.S.T., K.P. Gallo & M.E. Bauer 1983. 
Spectral estimates of solar radiation intercepted 
by corn canopies. Agron. J. 75:527-531. 
Gallo, K.P., C.S.T. Daughtry & M.E. Bauer 1985. 
Spectral estimation of absorbed photosvnthetically 
active radiation in corn canopies. Rem. Sen. 
Environ. 17:221-232. 
Hatfield, J.L., G. Asrar & E.T. Kanemasu 1984. 
Intercepted photosynthetically active radiation in 
wheat canopies estimated by spectral reflectance. 
Rem. Sens. Environ. 14:65-75. 
Hipps, L.E., G. Asrar & E.T. Kanemasu 1983. 
Assessing the interception of photosynthetically 
active radiation in winter wheat. Agric. Meteorol. 
28:253-259. 
Jordan, W.R. 1983. Viiole plant responses to water 
deficits: An overview. Chpt. 7A, pp.289-317, in 
Limitations to efficient water use in crop 
production (H.M. Taylor, W.R. Jordan, and T.R. 
Sinclair, eds.) Amer. Soc. Agron., Madison, WI, 
USA. 
Kauth, R.J. & G.S. Thomas 1976. The tasseled cap—A 
graphic description of the spectral temporal 
development of agricultural crops as seen by 
LANDSAT. Proc. Sympos. Machine Proc. Remotely 
Sensed Data, pp.41-49. Purdue Univ., 
W. Lafayette, Indiana, USA. 
Maas, S.J. St G.F. Arkin 1978. User's guide to SORGF: 
A dynamic grain sorghum growth model with feedback 
capacity. Research center program and 
documentation No. 78-1 (Blackland Res. Center at 
Temple), Texas Agr. Expt. Sta., College Station, 
Texas, USA. 
Maas, S.J., A.J. Richardson, C.L. Wiegand St P.R. 
Nixon 1985. Use of plant, spectral and weather 
data in modeling corn growth. Proc. 19th Int'l. 
Sympos. on Remote Sens. Environ. Univ. Michigan, 
Ann Arbor, Michigan, USA. (In Press). 
Mcmen, N.N., R.E. Carlson, R.H. Shaw St 0. Arjimand 
1979. Moisture-stress effects on the yield 
components of two soybean cultivars. Agron. J. 
71:86-90. 
Monteith, J.L. 1981. Does light limit crop 
production? Chpt. 2, pp. 23-38, in Physiological 
processes limiting plant productivity (C.B. 
Johnson, ed.) Butterworths. London, England. 
Pearson, C.J. 1984. Introduction, pp. 1-9 in Control 
of crop productivity (C.J. Pearson, ed.) Academic 
Press, New York, NY, USA. 
Pinter, P.J., Jr., R.D. Jackson, S.B. Idso St J.R. 
Reginato 1981. Multidate spectral reflectance as 
predictors of yield in water stressed wheat and 
barley. Int'l. J. Remote Sens. 2:43-48. 
Richardson, A.J. 1981. Measurement of reflectance 
factor under daily and intermittent irradiance 
variations. Appl. Opt. 20:3336-3340. 
Richardson, A.J. & C.L. Wiegand 1977. Distinguishing 
vegetation frcm soil background information. 
Photogranm. Eng. 43:1541-1552. 
Robinson, B.F. St L.L. Biehl 1982. Calibration 
procedures for measurement of reflectance factors 
in remote sensing field research, pp. 435-440. 
Proc. Sympos. Machine Proc. of Remotely Sensed 
Data, Purdue, Univ., W. Lafayette, IN, USA. 
Steven, M.D., P.V. Biscoe St K.W. Jaggard 1983. 
Estimation of sugar beet productivity frcm 
reflection in the red and infrared spectral bands. 
Int'l. J. Remote Sens. 4:325-334. 
Tucker, C.J., W.H. Jones, W.A. Kleg & G.J. Sundstorm 
1981. A three-band hand-held radiometer for field 
use. Science 211:281-283. 
WSanjura, D.F. St J.L. Hatfield 1985. Spectral 
procedures for estimating crop bicmass. Trans. 
ASAE 28:922-927. 
Wiegand, C.L., H.W. Gaugman, St W.A. Allen 1972. 
Physiological factors and optical parameters as 
bases of vegetation discrimination and stress 
analysis. Proc. Seminar, Operational remote 
sensing, pp. 82-102. Amer. Soc. Photogramm., 
Falls Church, Virginia, USA. 
Wiegand, C.L. & A.J. Richardson 1984. Leaf area, 
light interception and yield estimates frcm 
spectral components analysis. Agron. J. 
76:543-548. 
Wiegand, C.L., A.J. Richardson & P.R. Nixon 1986. 
Spectral components analysis: A bridge between 
spectral observations and agrcmeteorological crop 
models. IEEE Trans. Geosci. and Remote Sens. Vol. 
GE-24, pp.83-89. 
Wiegand, C.L., A.J. Richardson, R.D. Jackson, P.J. 
Pinter, Jr., J.K. Aase, D.E. Smika, L.F. 
Lautenschlager, & J.E. McMurtrey, III 1986a. 
Development of agrcmeteorological model inputs 
frcm remotely sensed information. TREE Trans. 
Geosci. and Rem. Sens. vol. GE-24, pp.90-98.
	        

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