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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:
1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Thematic mapping and data analysis for resource management using the Stereo ZTS VM. Kurt H. Kreckel & George J. Jaynes
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

39 
jse studies re- 
i object heights 
ay of such heights 
{ photocoordinates 
p and repeat the 
y of the jobs per- 
apability with a 
ed which on command 
ly, Fig. 3) will 
ally incrementing 
ion, and photo X/Y 
nanent record, 
allows a permanent 
tation parameters 
i ground coordinates, 
nit adapting the 
alar printers. 
ti Transfer Buttons 
ater Interface) 
type serial I/O 
anning observation 
otocoordinates may 
anal, micro-, mini 
face. Three push- 
ck assembly to 
aguish between con- 
on of transfer. 
IP switches on the 
itches of computer 
computers may have 
ability. The 
selections enables 
dem. The VM is 
1 Equipment (DTE). 
quipment (DCE) may 
M I/O board. 
coordinate data to 
rement System (RMS) 
ansfer rate is as 
ween VM and computer 
PC/AT computer is 
been structured 
ols according to a 
data structure is 
erface to his own 
le lie computer, 
are has been im- 
eive either cali- 
om the VM and to 
as "filename.cal" 
or "filename.dat" respectively, on the RMS data disk. 
Such disk typically holds as much as 320 kBytes in 
as many as 420 individual files. Once stored, the 
data are available for editing and display, conver 
sion, analysis, printout, and plotting - all accord 
ing to menu queries. 
9 Data Editing, Conversion, Analysis and Display 
The stored data are contained on disk in a compact 
ASCII format. Editing allows the generation of 
readable and displayable orientation parameters or 
coordinate data for inspection and modification. 
Typically noisy data may be smoothed and duplications 
due to noise eliminated. Also, false data (due to 
operator error) may be deleted or changed. To assist 
in this effort planimetric X/Y data (contour lines) 
or profile data may be graphically displayed on the 
RMS CRT for editing purposes. 
Transferred X/Y coordinates are in VM photocoor 
dinates which may be converted into model and map 
coordinates by using the calibration data file con 
taining the parameters generated during relative and 
absolute orientation. Such conversions use well 
known principles (Albertz, 1980), (Moffitt, 1980), 
(Manual of Photogrammetry, 1980). 
Data analysis provides the measurement of areas 
and perimeters of polygons, of path lengths of lin 
ear features. 
Internal RMS file transformation opens up the use 
of RMS analysis routines of statistical analysis 
(mean, variances, std. deviations, kurtosis, skew, 
linear, multiple, and polynomial regression, linear/ 
logarithmic distributions, correlation analysis, 
ANOVA, etc.). 
10 Data Printout 
The data converted into map coordinates may be print 
ed out on the RMS printer for a permanent record 
relating observation numbers, height and elevation 
values with the corresponding X/Y map coordinates. 
The RMS provides printout of all data and parameters 
generated hy statistical analysis as well as displays 
of graphs. 
11 Data Plotting 
Planimetric X/Y data (Y map coordinate versus X map 
coordinate) as well as Ah/R (or h/R, i.e. height 
or elevation versus the diagonal, where R=SQR (X*X+ 
Y*Y) profile data may be plotted on the RMS plotter 
(DMP 40 or 50 series) at selectable scales and off 
sets. The data are coded with pen-up and pen-down 
information generated from the keyboard pushbuttons 
at the time of acquisition of the data. Plots are 
made on either paper or transparencies. They provide 
overlays useful for map revision. Another profile 
type plot may he plotting either height or elevation 
relative to the path length showing the terrain trav 
ersed by a moving vehicle, for example. 12 
12 Conclusion 
The combination of the VM module with the original 
Bausch & Lomb Stereo Zoom Transfer Scope adds 
measurement of the spot and object heights as well 
as measurement of terrain elevations to the stereo 
photograph to map transfer capability. The addition 
of a printer and an external microcomputer provides 
powerful systems capabilities to the Stereo ZTS at 
low capital cost combined with ease of operation and 
maintenance. The bulk of the additional capabilities 
is in high level software for the external computer 
rather than in hardware. Mating the Stereo ZTS VM 
with the Resource Measurement System (RMS) makes the 
RMS routines of data and statistical analysis avail 
able to the Stereo ZTS. Such additional capabilities 
provide for editing, display of data and feature 
outlines on a CRT, conversion of photocoordinates 
into map coordinates, computation of area, perimeter, 
path lengths, statistical analysis data, hard copy 
printout of X/Y/Z map coordinates, and plotting of 
planimetric and topographic detail on map overlays 
for map revision. 
13 Acknowledgments 
The contributions to the development of the Stereo 
ZTS VM module by Robert T. Shone who developed the 
basic concept and the mathematical foundations of 
the instrument and Kelly P. Cole who wrote the 
Assembly language software for the microprocessor 
are acknowledged. 
REFERENCES 
Albertz, J., W. Kreiling (eds.) 1980. Photogrammetric 
Guide, Third Edition. Herbert Wichmann Verlag, 
Karlsruhe. 
Burnside, C.D. 1979: Mapping from Aerial Photographs. 
John Wiley & Sons, New York. 
Hallert, B. 1960. Photogrammetry. McGraw Hill. 
Manual of Photogrammetry 1980. Fourth Edition. 
American Society of Photogrammetry. 
McGivern, R.F., et al 1972. Planimetric map revision 
with the Bausch & Lomb Zoom Transfer Scope. Pre 
sented Paper ACSM/ASP Joint Annual Meeting, 
Washington, D.C. 
Moffitt F.H., E.M. Mikhail 1980. Photogrammetry. 
Third Edition. Harper & Row Publishers. 
Trinder, J.C. 1986. Precision of Stereoscopic 
Height Measurements. Photogrammtric Engineering 
and Remote Sensing. Vol. 52, No. 1. January 1986, 
pp. 75-79. 
von Gruber, 0. 1924. Einfache-und Doppelpunktein- 
schaltung im Raume. 
Walker, A.S. 1984. A Review of Map Revision by 
Photogrammetry. Photogrammetric Record 11 (64): 
395-405 
Weir, M.J.C. 1981. An Assessment of Simple Plotting 
Instruments for Resource Mapping. Paper presented 
at Remote Sensing Society, December 1981.
	        

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