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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:
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
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Land use from aerial photographs: A case study in the Nigerian Savannah. N. J. Field, W. G. Collins
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

439 
Fig. 5 Farmland 1950 (left) & 1972 (right) ; 
one dot = 2 ha. 
distribution and their effects can be studied. As 
Chisholm (1979) pi40 says "Any technical change 
creates conditions of disequilibrium which may 
be of long or short duration according as the 
innovation in question is or is not major, and 
also according to the nature of the adjustment 
mechanism". One technical change that certainly 
started to occur between the chose dates is the 
increase in accessibility of most areas due to 
better roads and the introduction of small 
vehicles. These show up in the correlation between 
the proportion of woodland in a particular area 
and its distance from its potential consumers, 
mainly in Kaduna. Accessibility correlates in a 
strong negative way with the percentage of 
woodland in 1972, while in 1950 the relationship 
was in the opposite sense. 
10.2 Farmland, as would be expected, is more 
plentiful near to a road or a railway station, 
significantly correlated in 1972, less so in 1950. 
Other factors are at work here. As with respect 
to Kaduna, the correlation is significantly high 
in both years with time. This shows that 
topographical and soil factors in the S.E. of the 
test area may restrict farming activities. 
11. CONCLUSION 
Using sample from aerial photographs and dot grids 
it is possible to estimate land use changes in 
savannah areas with acceptable precision. 
Studies of this nature could provide a useful 
inexpensive way of obtaining land resources 
information in developing countries.
	        

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Damen, M. .C. .J. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 1986.
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