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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 signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
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

indirectin- 
tant in these 
siderably in 
if we use a 
te soil con- 
surface 
arately de- 
of the 
site con- 
content 
reflection 
nd the re- 
applicable. 
egetation 
rated. The 
igh resolu- 
urement of 
terrain 
ons of this 
d terrain 
ngle wave- 
:ispectral 
iund based 
ds latter 
•tility 
i the results 
rements with 
ile tracing 
¡.1 accuracy 
laser reflec- 
5 target. 
5 for the 
less and de- 
:tion. With 
rentiation is 
similar re- 
s basis of 
that dis 
cus vegetation 
jreatly im- 
differentiate 
ispectral 
sensing 
system was 
Ives soil 
tion measure- 
1600 nm wave- 
rganic carbon, 
ctively. 
iversally 
dictions 
ence on % 
rations in 
n content 
and iron 
ing on the 
perties on a 
eflection 
lengths. 
useful in 
.ilizer man- 
ice there are 
to be con 
its it is 
pie laser at 
the above mentioned wavelength ranges be used to ob 
tain highly reliable observations. 
These results suggest that remote sensing based on 
a laser system will provide a new dimension for re 
mote sensing assessments of terrain surface condi 
tions. 
REFERENCES 
Buckingham, W.F. & S.E. Sommer 1983. Mineralogical 
characterization of rock surfaces formed by hydro- 
thermal alteration and weathering - Applications to 
remote sensing. Economic Geology 78:664-674. 
Cipra, J.E., D.P. Franzmeier, M.E. Bauer, and R.K. 
Boyd 1980. Comparison of multispectral measurements 
from some non-vegetated soils using Landsat digital 
data and a spectroradiometer. Soil Sci. Soc. of 
Am. Proc. 44:80-84. 
Curran, P.J. & E.J. Milton 1983. The relationship 
between chlorophyll content, LAI and reflectance 
of a simple vegetation canopy. Intern. Journ. of 
Rem. Sens. 4:247-255. 
Elridge, C.D. & R.J.P. Lyon 1984. Estimation of the 
vegetation contribution to the 1.65/2.22 pm ratio 
in airborne thematic mapping imagery. Intern. 
Journ. of Rem. Sens. 5:32. 
Gausman, H.W., A.H. Gerberman, C.L. Wiegand, R.W. 
Learner, R.R„ Rodriguez & J.R. Noriega 1975. Re 
flection differences between crop residues and 
bare soils. Soil Sci. Soc. Am. Proc. 39:752-755. 
Gausman, H.W., R.W. Learner, J.R. Noriega, R.R. 
Rodriguez & C.L. Wiegand 1977. Field measured 
spectroradiometric reflection of disked and non- 
disked soils with and without wheat straw. Soil 
Sci. Soc. Am. Proc. 41:793-796. 
Gladwell, D.R., R.E. Lett & P. Lawrence 1983. Appli 
cation of reflectance spectrometry to mineral ex 
ploration using portable radiometers. Econ. Geol. 
78:699-711. 
Horler, D.N.H., M. Dockray & J. Barber 1983. The red 
edge of plant leaf reflectance. Intern. Journ. 
of Rem. Sens. 4:273-288. 
Hosterman, J.W. & S.I. Whitlow 1980. Munsell color 
value as related to organic carbon in Devonian 
shale of the Appalachian basin. U.S. Geol. Survey 
Open File:80-660, 8 pp. 
Huete, A„R., R.D„ Jackson & K.F. Post 1985 Spectral 
response of a plant canopy with different soil 
background. Remote Sens, of Environment 17:35-53. 
Jepsky, J. 1986. Airborne laser profiling and mapping 
systems come of age. ACSM-ASP Convention, Wash. 
D.C. March 16-21, 1986, 12 pp. 
Krabill, W.B., L.G. Collins, L.E. Link, R.N. Swift 
& M.L. Butler 1984. Airborne laser topographic 
mapping results. Photogrammetric Eng. and Rem. 
Sens. 50:685-694. 
Kristoff, S.J. & A.L. Zachary 1974. Mapping soil 
types from multispectral scanner data. Photogr. 
Eng. & Rem. Sens. 40:1427-1434. 
Page, A.L. 1982. (ed.) Method of soil analysis, Part 
2. Chemical & microbial properties, Monograph #9, 
Am. Soc. of Agronomy, Inc., Madison, Wise., 1142 pp. 
Schreier, H., J. Lougheed, J.R. Gibson & J. Russel 
1984. Calibrating an airborne laser profiling 
system. Photogr. Eng. and Rem. Sens. 50:1591-1598. 
Schreier, H. J. Lougheed, C. Tucker & D. Leckie 1985. 
Automated measurements of terrain reflection and 
height variations using an airborne infrared laser 
system. Intern. Journ. of Rem. Sens. 6:101-113. 
Siegrist, A.W. & C.C. Schnetzler 1980. Optimum spec 
tral bands for rock discrimination. Photogr. Eng. 
and Rem. Sens. 46:1207-1215. 
Stoner, E.R. & M.F. Baumgardner 1981. Characteristic 
variations in reflectance of surface soils. Soil 
Sci. Soc. Am. Proc. 45:1161-1165. 
Tucker, C.J. 1979. Red and photographic infrared 
linear combinations for monitoring vegetation, 
Remote Sensing of Environment 8:127-150. 
Westin, F.C. & C.J. Frazee 1976. Landsat data and 
its use in a soil survey program. Soil Sci. Soc. 
Am. Journ. 40:81-89.
	        

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