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Remote sensing for resources development and environmental management (Volume 1)

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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

286 
3 THERMAL VIDEO FRAME SCANNERS (TVFS) 
A TVFS system consists of four basic components: 
(a) a scanning system which views the scene to be 
imaged and focusses the incoming infrared radiation, 
(b) a ferro-magnetic or semi-conductor detector 
which measures the thermal variations in the scene, 
(c) a CCTV compatible display system where the 
thermal variations are used to modulate the intensity 
of an electron beam, and 
(d) a video cassette recorder (VCR) to record the 
thermal imagery. 
Unlike thermal IR linescanning systems which are 
designed specifically for airborne use, the 
TVFS systems under consideration are designed for 
both ground and airborne operation. Consequently, the 
optical configuration, scanning mechanisms and 
detector arrays differ from those used for thermal 
linescanning and this leads to significantly 
different imaging systems being employed. 
3.1 Imaging techniques 
In general terms a thermal imager operates by 
mechanically scanning a focussed beam of incoming 
radiation onto an infrared detector. In its simplest 
form, such as in a thermal IR linescanner, the 
scanning is performed in one direction, perpendicular 
to the direction of flight, by an oscillating mirror 
or rotating prism. The incoming radiation is then 
focussed onto a single detector, normally of mercury 
cadmium telluride (HgCdTe). The 'frame' scanning in 
this case is performed by the forward motion of the 
aircraft. 
If the imager is to be used from, a static platform 
then some method of scanning in two dimensions is 
required. There are, however, several practical 
difficulties with such a single element detector 
design if a flicker free, high spatial resolution 
image is to be obtained. Consequently, if high 
resolution is required it is often more efficient to 
use a multi-element detector design. Three 
distinctive arrangements are possible: parallel, 
serial and matrix scanning. 
Parallel scanning involves using a single column of 
detectors arranged so that each detector element 
scans a single line in the image. This arrangement 
reduces the scanning speed. However, the performance 
of each of the detector elements needs to be similar 
if the formation of a 'streaky image' is to be 
avoided. Further significant reductions in scan speed 
can also be achieved by using band interlaced 
scanning techniques (Chiari and Morten, 1982). 
Serial scanning systems, in contrast, operate by 
using a single row of detector elements. The 
cumulative output is obtained by summing the 
individual signals from each detector. In order to 
achieve this it is necessary to include separate 
pre-amplifiers and delay line circuitry for each 
detector element. Although the electronics of this 
design are more complex, since the same detector 
element scans all lines in the image the uniformity 
of the image is more consistent than with the 
parallel system. 
A compromise arrangement which combines the scene 
uniformity advantages of the serial scan approach 
with the high scan speeds of the parallel arrangement 
is the mixed parallel/serial or 'matrix' design. 
Inevitably, as the number of detector elements 
increases, so the number of electrical connections 
also increases. Although this difficulty, and the 
consequent signal processing complications can be 
overcome, the design trend in recent years has been 
to use SPRITE detectors. 
As mentioned previously, with conventional serial 
scanning the output from each IR detector is 
pre-amplified, delayed and then added to the signal 
which is generated in the following element. SPRITE 
(Signal PRocessing In The Element) detectors overcome 
the need for these separate connections. In the 
SPRITE design the row of individual detectors is 
replaced by a single strip of HgCdTe with only two 
connections and one pre-amplifier. Eight element 
SPRITE detectors are used in most TVFS systems, such 
an arrangement is equivalent to a conventional array 
consisting of 64 discrete elements. 
Although SPRITE detectors eliminate many of the 
connections and much of the circuitry, they still 
require some form of mechanical scanning to be 
carried out. An area of considerable interest at 
present is the development of 'staring arrays' i.e. a 
matrix of infrared detectors. In this case the 
function of the optics is simply to focus the 
incoming radiation onto the matrix of detectors 
located in the focal plane of the camera. Whilst it 
is likely that such arrangements will eventually 
replace the SPRITE design, this is unlikely to occur 
until very dense matrices can be formed thus enabling 
high resolution imagery to be produced. 
3.2 System review 
A wide range of thermal imaging systems are currently 
available and Table 2 outlines the technical 
specifications associated with a selected sample. 
Table 2: Technical Specifications : Thermal Video 
Frame Scanning Systems. 
Spatial 
Resolution 
(mr) 
MRTD* 
(°C) 
Spectral 
Range 
(pm) 
AGA 
Thermovision 
5.8 
0.1 
3-5.6 
8-12 
GEC V1010 
TICM 11 
2.27 
0.1 
8-13 
Hawkeye 
HT4 
2.1 
0.15 
8-13 
Rank Pullin 
Controls 
SS600 
2.1 
0.15 
8-13 
Infremetrics 
IRTV-445G 
2.0 
0.4 
8-12 
FLIR Systems 
1000A 
1.87 
0.2 
8-12 
Barr and 
Stroud IR18 
1.73 
0.38 
8-13 
MRTD* = Minimum Resolvable Temperature Difference 
As mentioned in the literature review several 
previous authors have discussed the use of the AGA 
Thermovision range of instruments for airborne use. 
These instruments, of which model 782 is the most 
recent, are single detector, low spatial resolution 
systems. Two versions of this instrument are 
available for sensing in the 3 to 5 urn and 8 to 14pm 
regions of the spectrum. An image consisting of 100 
elements/line over a 280 lines/frame format refreshed 
at 25Hz and interlaced four to one is produced by the 
scanner. In addition to the low spatial resolution of 
the instrument the slow refresh rate creates image 
registration problems when sensing from a moving 
platform. A further disadvantage is the difficulty of 
producing a vertical image. In order to achieve this 
a 45° mirror has to be used so as to avoid the liquid 
nitrogen from the cooling system being expelled. 
The Inframetrics IRTV 445G can however be gimbel 
mounted for airborne use. It uses a 4 element HgCdTe 
detector and creates a 400 elements/line image over 
a 445 lines/freme format refreshed at at a frame rate 
of 30Hz. 
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