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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
  • 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
  • Remote sensing in the evaluation of natural resources: Forestry in Italy. Eraldo Amadesi & Rodolfo Zecchi, Stefano Bizzi & Roberto Medri, Gilmo Vianello
  • Visual interpretation of MSS-FCC manual cartographic integration of data. E. Amamoo-Otchere
  • Optimal Thematic Mapper bands and transformations for discerning metal stress in coniferous tree canopies. C. Banninger
  • Land use along the Tana River, Kenya - A study with small format aerial photography and microlight aircraft. R. Beck, S. W. Taiti, D. C. P. Thalen
  • The use of multitemporal Landsat data for improving crop mapping accuracy. Alan S. Belward & John C. Taylor
  • Aerial photography photointerpretation system. J. Besenicar, A. Bilc
  • Inventory of decline and mortality in spruce-fir forests of the eastern U.S. with CIR photos. W. M. Ciesla, C. W. Dull, L. R. McCreery & M. E. Mielke
  • Field experience with different types of remote-sensing data in a small-scale soil and land resource survey in southern Tanzania. T. Christiansen
  • A remote sensing aided inventory of fuelwood volumes in the Sahel region of west Africa: A case study of five urban zones in the Republic of Niger. Steven J. Daus & Mamane Guero, Lawally Ada
  • Development of a regional mapping system for the sahelian region of west Africa using medium scale aerial photography. Steven J. Daus, Mamane Guero, Francois Sesso Codjo, Cecilia Polansky & Joseph Tabor
  • A preliminary study on NOAA images for non-destructive estimation of pasture biomass in semi-arid regions of China. Ding Zhi, Tong Qing-xi, Zheng Lan-fen & Wang Er-he, Xiao Qiang-Uang, Chen Wei-ying & Zhou Ci-song
  • The application of remote sensing technology to natural resource investigation in semi-arid and arid regions. Ding Zhi
  • Use of remote sensing for regional mapping of soil organisation data Application in Brittany (France) and French Guiana. M. Dosso, F. Seyler
  • The use of SPOT simulation data in forestry mapping. S. J. Dury, W. G. Collins & P. D. Hedges
  • Spruce budworm infestation detection using an airborne pushbroom scanner and Thematic Mapper data. H. Epp, R. Reed
  • Land use from aerial photographs: A case study in the Nigerian Savannah. N. J. Field, W. G. Collins
  • The use of aerial photography for assessing soil disturbance caused by logging. J. G. Firth
  • An integrated study of the Nairobi area - Land-cover map based on FCC 1:1M. F. Grootenhuis & H. Weeda, K. Kalambo
  • Explorations of the enhanced FCC 1:100.000 for development planning Land-use identification in the Nairobi area. F. Grootenhuis & H. Weeda, K. Kalambo
  • Contribution of remote sensing to food security and early warning systems in drought affected countries in Africa. Abdishakour A. Gulaid
  • Double sampling for rice in Bangladesh using Landsat MSS data. Barry N. Haack
  • Studies on human interference in the Dhaka Sal (Shorea robusta) forest using remote sensing techniques. Md. Jinnahtul Islam
  • Experiences in application of multispectral scanner-data for forest damage inventory. A. Kadro & S. Kuntz
  • Landscape methods of air-space data interpretation. D. M. Kirejev
  • Remote sensing in evaluating land use, land cover and land capability of a part of Cuddapan District, Andhra Preadesh, India. S. V. B. Krishna Bhagavan & K. L. V. Ramana Rao
  • Farm development using aerial photointerpretation in Ruvu River Valley, Ragamoyo, Tanzania, East Africa. B. P. Mdamu & M. A. Pazi
  • Application of multispectral scanning remote sensing in agricultural water management problems. G. J. A. Nieuwenhuis, J. M. M. Bouwmans
  • Mangrove mapping and monitoring. John B. Rehder, Samuel G. Patterson
  • Photo-interpretation of wetland vegetation in the Lesser Antilles. B. Rollet
  • Global vegetation monitoring using NOAA GAC data. H. Shimoda, K. Fukue, T. Hosomura & T. Sakata
  • National land use and land cover mapping: The use of low level sample photography. R. Sinange Kimanga & J. Lumasia Agatsiva
  • Tropical forest cover classification using Landsat data in north-eastern India. Ashbindu Singh
  • Classification of the Riverina Forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. A. K. Skidmore, P. W. Woodgate & J. A. Richards
  • Remote sensing methods of monitoring the anthropogenic activities in the forest. V. I. Sukhikh
  • Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping. H. Tommervik
  • Multi-temporal Landsat for land unit mapping on project scale of the Sudd-floodplain, Southern Sudan. Y. A. Yath, H. A. M. J. van Gils
  • Assessment of TM thermal infrared band contribution in land cover/land use multispectral classification. José A. Valdes Altamira, Marion F. Baumgardner, Carlos R. Valenzuela
  • An efficient classification scheme for verifying lack fidelity of existing county level findings to cultivated land cover areas. Yang Kai, Lin Kaiyu, Chen Jun & Lu Jian
  • The application of remote sensing in Song-nen plain of Heilongjiang province, China. Zhang Xiu-yin, Jin Jing, Cui Da
  • Cover

Full text

4 Parallax Bar with Floating Mark 
The VM operation is based on the floating mark prin 
ciple using an automated parallax bar. The floating 
marks are illuminated dots of 75, 125, 250 or 500 
/im diameter on plastic disks in direct contact with 
the photographs (separated by a 7 mil thick Mylar 
protective marked cover). This approach emphasizes 
the measurement on the photograph. Height measure 
ment is direct and not subject to distortions. Most 
of the time the photographs are in superimposition 
with the map. However, to achieve optimal height 
measurement accuracy it is possible to increase the 
photomagnification beyond that required for super 
imposition. 
The parallax bar is motor driven in the X and Y 
directions. X and Y parallax separations (px and 
py respectively) are also motor driven using a single 
4 dimensional joystick control. All four axes are 
encoded: X and Y by rotary encoders with 50 /urn re 
solution, py by rotary encoder with 5 jam resolution, 
and px by a linear incremental encoder of 5 /am reso 
lution to eliminate any backlash or linear to rotary 
conversion errors. Assuming a nominal photobase of 
100 mm the theoretical system resolution of measured 
height is .005% of the flying height. With this 
inherent capability of the instrument it is up to 
the experience and training of the operator to 
achieve repeatability and accuracy as near to the 
theoretical as possible (Trinder, 1986). 
Relative and absolute orientation parameters are 
automatically converted into correcting motions of 
the px and py stepper motor drives to eliminate y 
parallax anywhere in the overlap area of the photo 
graphs and to provide automatic height and elevation 
correction for the various tilts and displacements 
inherent in near vertical photography 
5 VM Computer and Display 
Computations of orientation parameters, correction 
values for the motors, height and elevation measure 
ments are performed by an Intel 8031 (8051 family) 
microprocessor based system with approximately 45 
kBytes of ROM based program memory. Programming was 
done in Assembler language to achieve a maximum data 
transfer rate from feedback elements to computing 
and to the motor drives of px and py parallax motions. 
The computer is housed in a control unit shared by 
power supplies, encoding, joystick and motor control 
circuitry. A separate Keyboard/Display unit is posi 
tioned to the side of the operator (Fig. 2). It dis 
plays at all times the photo X and Y coordinates 
and a selected value or parameter (normally height 
or elevation). The keyboard allows keying-in of 
parameters, offsets, units, etc. 
Figure 2. VM Keyboard/Display Unit 
6 VM Output Capability (Printing) 
Many users performing simple land use studies re 
quiring the measurement of spot and object heights 
may need no more than just a display of such heights 
together with the corresponding X/Y photocoordinates 
to be able to reconstruct the setup and repeat the 
measurements. 
Other workers require a hard copy of the jobs per 
formed. For this purpose an 1/0 capability with a 
dot matrix printer has been provided which on command 
(pushbutton on the joystick assembly, Fig. 3) will 
transfer a selectable and sequentially incrementing 
observation number, height, elevation, and photo X/Y 
coordinates to a printer for a permanent record. 
Selecting another transfer mode allows a permanent 
record of relative, absolute orientation parameters 
and X, Y, Z control point photo-and ground coordinates. 
Switches on the VM 1/0 board permit adapting the 
printer output to a variety of popular printers. 
Figure 3. VM Joystick Assembly with Transfer Buttons 
7 VM Input/Output Capability (Computer Interface) 
Via another output port, an RS 232 type serial 1/0 
port, calibration parameters and running observation 
numbers, height, elevation, X/Y photocoordinates may 
be transferred to an external personal, micro-, mini 
computer with its own RS 232 interface. Three push 
buttons are provided on the joystick assembly to 
initiate the transfer and to distinguish between con 
tinuous, interrupted and termination of transfer. 
The baud rate may be selected on DIP switches on the 
VM 1/0 board and usually on DIP switches of computer 
serial 1/0 boards. Alternatively computers may have 
a software baud rate selection capability. The 
availability of 300 and 1200 Baud selections enables 
transfer of data via a standard modem. The VM is 
normally connected as Data Terminal Equipment (DTE). 
Conversion to Data Communication Equipment (DCE) may 
be done by plug inversion on the VM 1/0 board. 
The transfer of calibration and coordinate data to 
Bausch & Lomb's own Resource Measurement System (RMS) 
has been implemented. The data transfer rate is as 
high as 9600 Baud at distances between VM and computer 
of up to 30 m. Transfer to an IBM PC/AT computer is 
also being undertaken. Data have been structured 
into blocks of ASCII data and symbols according to a 
logical compact data format. The data structure is 
available to anyone wishing to interface to his own 
computer. 
8 VM - RMS Data Transfer 
The RMS system uses a built-in Apple lie computer. 
Operator friendly menu based software has been im 
plemented to set up the RMS to receive either cali 
bration data or coordinate data from the VM and to 
store the data in files designated as "filename.cal" 
or "filenam 
Such disk t 
as many as 
data are av 
sion, analy 
ing to menu 
9 Data Edit 
The stored 
ASCII forma 
readable an 
coordinate 
Typically n 
due to nois 
operator er 
in this eff 
or profile 
RMS CRT for 
Transferr 
dinates whi 
coordinates 
taining the 
absolute or 
known princ 
(Manual of 
Data anal 
and perimet 
ear feature 
Internal 
of RMS anal 
(mean, vari 
linear, mul 
logarithmic 
ANOVA, etc. 
10 Data Pri 
The data co 
ed out on t 
relating ob 
values with 
The RMS pro 
generated b 
of graphs. 
11 Data Plo 
Planimetric 
coordinate) 
or elevatio 
Y*Y) profil 
(DMP 40 or 
sets. The 
information 
at the time 
made on eit 
overlays us 
type plot m 
relative to 
ersed by a : 
12 Conclusi 
The combina 
Bausch & Lo 
measurement 
as measurem 
photograph 
of a printe 
powerful sy 
low capital 
maintenance 
is in high 
rather than 
with the Re 
RMS routine 
38
	        

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