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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:
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
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

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i frame rate 
of 30Hz. Both AGA end Inframetrics have also 
developed dedicated image processing software for 
enhancing the imagery and extracting quantitative 
temperature data. 
The majority of high performance TVFS systems 
operating in the 8 to 13 pm band have been developed 
for avionic and military applications. Development of 
the current range of UK military imagers began in 
1976 and at that time the decision was made to adopt 
a modular design philosophy. This is known as the 
Thermal Imaging Common Module (TICM) programme. The 
GEC V1010 TICM 11 is representative of this design. 
Instruments of this type can be mounted in either a 
fixed wing aircraft or a helicopter, in the latter 
case the scanner is mounted in a pod to allow a 
forward looking image to be obtained. 
The Rank Pull in Controls (RPC) SS600 thermal imager 
differs from the conventional TICM scanning design 
which uses a flapping mirror to scan the.field in 
elevation and a rotating polygon to provide the line 
scan. In contrast, the RPC design uses two coaxially 
mounted rotating polygons to form the two dimensional 
scan pattern. This unique design (Figure 1) is 
claimed to result in a lighter, more robust and more 
compact imager suitable for use where severe 
vibration may be experienced. 
DETECTOR 
10Omm 
Figure 1. Rank Pullin Controls SS600-scanning system 
(Lettington, 1985) 
The Barr and Stroud IR18 is another TVFS system based 
on a modular design approach. A narrower scanner 
field of view is used compared with several other 
equivalent systems. In this case also a novel 
optical-mechanical scanning design is used which is 
discussed in the following section of the paper. 
3.3 The Barr and Stroud IR18 Mk II Thermal Video 
Frame Scanner 
The scanner used in these tests was developed 
initially for military use, but it is now available 
for commercial remote sensing applications. Table 2 
outlines some of the technical specifications of the 
sensor and Figure 2 illustrates the principle of 
operation of the scanner. 
To achieve a video compatible image, two main 
criteria have to be met: firstly, the resultant image 
must be rectilinear and, secondly, it should have a 
625 line CCTV output (525 lines in the USA). In order 
to achieve this, banded scanning is carried out using 
a high speed rotor, turning at 39,000 rpm, to give 
Figure 2. Barr and Stroud IR18 Mk 11 thermal video 
frame scanner - principle of operation (Berry and 
Runciman, 1981) 
the line format, and a slower galvanometer driven 
rotor to achieve the frame transfer at 50Hz. Petrie 
(1983) has estimated, that the system has a data 
collection rate equivalent to 19 X 10^ pixels/second. 
The optics of the IR18 are used to collimate the 
incoming radiation and, by using afocal telescopes, 
enable a variety of magnification ratios to be used, 
so producing various object field of views (Table 
3). Such an arrangement ensures that the 
incident radiation forms a bundle of parallel rays 
which can then be focussed onto the frame scanning 
rotor. A concave mirror then re-collimates the image 
onto the rotating hexagonal rotor and subsequently 
onto the detector. 
Table 3: Barr and Stroud IR18 - object field of view 
with various auxiliary telescopes 
Magnification 
Ratio 
Object Field 
of View 
(H° XV 0 ) 
1 
38.0 25.5 
1.5 
25.3 17.0 
6 
6.30 4.25 
9 
4.22 2.8 
14 
2.7 1.8 
The detector used is an eight-element Mu Hard 
’SPRITE’, although four elements are normally 
preselected for use. The scanning sequence is such 
that on each successive frame scan a different 
element (of the four active elements) scans the same 
part of the scene. A consequence of this is that if 
the imager output is integrated over a number of 
frames, detector non-uniformity errors can be 
eliminated. Complex microprocessor controlled 
circuitry controls the synchronisation of the rotor 
speeds and signal outputs and the transfer of the 
data onto video tape. A conventional U-Matic video 
tape recorder is used to store the imagery.
	        

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