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

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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 by Satellite - A new tool for planning and management. J. W. van den Brink & R. Beck, H. Rijks
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
  • Structural information of the landscape as ground truth for the interpretation of satellite imagery. M. Antrop
  • Interpretation of classification results of a multiple data set. Helmut Beissmann, Manfred F. Buchroithner
  • Digital processing of airborne MSS data for forest cover types classification. Kuo-mu Chiao, Yeong-kuan Chen & Hann-chin Shieh
  • Methods of contour-line processing of photographs for automated forest mapping. R. I. Elman
  • Detection of subpixel woody features in simulated SPOT imagery. Patricia G. Foschi
  • A GIS-based image processing system for agricultural purposes (GIPS/ALP) - A discussion on its concept. J. Jin King Liu
  • Image optimization versus classification - An application oriented comparison of different methods by use of Thematic Mapper data. Hermann Kaufmann & Berthold Pfeiffer
  • Thematic mapping and data analysis for resource management using the Stereo ZTS VM. Kurt H. Kreckel & George J. Jaynes
  • Comparison of classification results of original and preprocessed satellite data. Barbara Kugler & Rüdiger Tauch
  • Airphoto map control with Landsat - An alternative to the slotted templet method. W. D. Langeraar
  • New approach to semi-automatically generate digital elevation data by using a vidicon camera. C. C. Lin, A. J. Chen & D. C. Chern
  • Man-machine interactive classification technique for land cover mapping with TM imagery. Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi
  • Space photomaps - Their compilation and peculiarities of geographical application. B. A. Novakovski
  • Processing of raw digital NOAA-AVHRR data for sea- and land applications. G. J. Prangsma & J. N. Roozekrans
  • Base map production from geocoded imagery. Dennis Ross Rose & Ian Laverty, Mark Sondheim
  • Per-field classification of a segmented SPOT simulated image. J. H. T. Stakenborg
  • Digital classification of forested areas using simulated TM- and SPOT- and Landsat 5/TM-data. H.- J. Stibig, M. Schardt
  • Classification of land features, using Landsat MSS data in a mountainous terrain. H. Taherkia & W. G. Collins
  • Thematic Mapping by Satellite - A new tool for planning and management. J. W. van den Brink & R. Beck, H. Rijks
  • 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
  • Cover

Full text

94 
pointing capability which result in 1) higher 
temporal coverage and 2) stereoscopic image 
recording. The thermal channel of the Thematic Mapper 
has a spatial resolution of 120m*120m in stead of the 
30m*30m of the rest of the channels. In comparing 
the Thematic Mapper and the SPOT characteristics it 
may be expected in general that the Thematic Mapper 
is better equiped for thematic information extraction 
and SPOT is better suited for cartographic 
applications because of its stereoscopic capability 
and the 10m*10m resolution panchromatic recording 
mode. 
Table 1. Sensor characterisctics of Landsat-4 and 5 
Thematic Mapper and Spot system. 
Sensor: 
TM 
SPOT 
Launch 
06/1982 
22/02/86 
resolution(m) 
30*30 
10*10 
20*20 
spectral channels( 
nm) 
(MSS) 
1 
450- 
520 
500-590 
2 
520- 
600 
600-680 
3 
630- 
690 
790-890 
4 
760- 
900 
5 
1550- 
1750 
6 
2080- 
2350 
7 
10.3- 
12.5 (um) 
scene coverage(km) 185*185 60*(60 to 85) 
temporal 16 days period 3-5 times/26 days 
resolution 
3.2 Thematic Mapper geometric accuracy 
Next to the characteristics of the satellite system 
the accuracy of the registration of satellite imagery 
to maps plays an important role. The geodetic 
accuracy or scene-to-map registration accuracy is 
dependent on the accuracy with which the Ground 
Control Points (GCP's) can be indicated on the 
imagery and on the map, the topography of the area 
concerned and the algorithms used for the 
registration. For favorable conditions, the rectified 
TM data can meet NMAS (US cartographic standard) for 
map products at scales to 1:24.000 but typical GCP 
configurations and average terrain conditions will 
conform to standards for 1:50.000 to 1:100.000 scale 
maps (R.Welch, 1985). It is expected that in general 
these accuracies will be higher in the Netherlands 
because of better opportunities for GCP location and 
because the error associated with relief displacement 
can be neglected. Therefore it is expected that a 
1:25.000 scale accuracy can be achieved. 
3.3 Discussion with planners 
In 1984 and 1985 DHV organized a series of meetings 
with central, provincial and local authorities 
occupied with the planning and management of land and 
water. During these meetings an inventory was made of 
the needs of satellite imagery derived information. 
The meetings lead to the following conclusions: 
- the detail on the high resolution satellite imagery 
makes it a valuable source of many relevant informa 
tion 
- this information can add in a cost-effective way to 
many planning and manegement applications 
- the information present in the satellite imagery is 
not accessible to most of the planners, because 
they are not familiar with the interpretation and 
techniques involved in using satellite imagery. 
These conclusions formed the reason for DHV Consulting 
Engineers to develop techniques to present the satellite 
derived information in a more user-friendly way. 
This lead to the development of the Satellite Thematic 
Map concept. 
4 RESULTS 
4.1 Thematic content of the Thematic Mapper imagery 
of the "Kromme Rijn" Area 
The information content of the imagery was evaluated 
by comparing the imagery with the topographic map 
1:25.000 and vegetation/land use maps of the area. It 
was shown that the spatial resolution of the Thematic 
Mapper imagery was sufficient to discriminate between 
idividual fields. This was also confirmed during a 
field check. The color classes which could be discer 
ned on the Thematic Mapper imagery showed a very good 
resemblance to the land use classes of the topographic 
map. 
In general grassland,forest (coniferous, deciduous and 
mixed), agricultural fields, orchards, cities, villa 
ges and surfacewaters could be made from the imagery. 
In addition some refinements to the legend of the topo 
graphic map could be discriminate on the imagery. 
A differentiation between mais and fallow land, old 
and young apple orchards and management practices, 
for example the clearing and cutting of forest areas 
could be established. Also small linear tree-elements 
with up to a sub-pixel dimension could be 
distinquisted. However the possibilities for the 
inventory of very small (linear) features with 
Thematic Mapper imagery seems restricted and must be 
evaluated for every case in detail. 
4.2 Combination of satellite imagery with the 
topographic map 
However to actually derive a land use map from the 
satellite imagery the interpretation of a especially 
forest, mais and orchards was difficult. 
By overlaying the satellite imagery with the 
topographical map this problem could be solved and an 
high accuracy interpretation became possible. 
Figure 1. Satellite Thematic Map of the "Kromme 
Rijn" Area: scale 1:25.000. 
4.3 The 
As a t 
Rijn" Ar 
accordin 
towards 
Rijn" A 
check f 
the last 
A part o 
topograp] 
map showi 
1984. F< 
topograpl 
photograj 
august 2't 
the map 
between ] 
within tl 
land use 
5 C0NCLUS 
From the 
imagery 
and actua 
by using 
accuracy 
satellite 
topograph 
a framewo 
imagery ii 
a large i 
forms a f. 
informatii 
presentat: 
For instai 
of foresl 
applicatic 
Thematic f 
a raster c 
very suit 
Land Infoi 
combinatic 
registrati 
derived fr 
of SPOT wi 
instance i 
detailed 
Satellite 
for prese 
new gener 
satellites 
drasticall 
planning 
in the Ni 
industrial: 
REFERENCES 
Colwell,R.i 
and 2, 
Sheridar 
End report 
research 
of Remot 
Dutch) 
Landsat-4 S 
Vol. 1-4 
Lillesand,T 
image in 
T.R.Jord 
Evaluate 
cartograj 
Thematic Maj 
Engineer: 
Spot simulal 
the 1984 
Corporate
	        

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