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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:
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:
Explorations of the enhanced FCC 1:100.000 for development planning Land-use identification in the Nairobi area. F. Grootenhuis & H. Weeda, K. Kalambo
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

451 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Explorations of the enhanced FCC 1:100.000 for development 
planning Land-use identification in the Nairobi area 
F.Grootenhuis & H.Weeda 
Nairobi, Kenya 
K.Kalambo 
Landplan, Nairobi, Kenya 
The objective of this study was to explore the information content of the LANDSAT image at 
1:100.000 scale regarding the existing land-use. The visual interpretation of the readily 
available LANDSAT image produced a land-cover map at 1:1M scale of the Nairobi area (Grooten- 
huis, Weeda & Kalambo 1986a). The zones of the land-cover map were transferred to the print 
photographically enlarged to scale 1:100.000. Fieldwork was carried out to establish the loca 
tion and the character of the mapping unit boundaries. Through field checks and background 
information, different land-use units were identified within the land-use zones. The relative 
distribution of the units was recorded. The representative cross-sections and block diagrams 
show the existing interaction between man and his environment. 
Comprehension of the spatial distribution and use of the existing land resources is essential 
to integrated planning for development. The land-use map at the scale of 1:100.000 overlain 
on the LANDSAT image provides an integrated data source which permits the planner to evaluate 
and assess field data in relation to visible bio-physical patterns. This is of great value in 
the formulation and implementation of landscape policies. 
1 INTRODUCTION 
Planning for development will have to deal 
with two major problems: i.e. the need for 
more space and more production (Thimberlake 
1985). The landscape planner's design ex 
presses a view on the balance between the 
impact of continuous changing needs and the 
"carrying capacity of nature" (McHarg 1969). 
This capacity can be defined as the level to 
which the environmental conditions allow the 
exploitation of natural resources (Tolba 1982) 
The interaction between the environmental 
factors is reflected in the way land is used 
at a particular moment. Therefor, a map of 
the existing situation is an important tool 
for landscape planning (Duchhart 1986) 
This paper describes the information that 
could be drawn from a photographic print of 
LANDSAT image at the 1:100.000 scale to com 
pile a land-use map at the same scale. 
The study has been undertaken as a follow up 
of the Extended Training Course on Remote 
Sensing and Rangeland at the Regional Remote 
Sensing Facility (RRSF) in Nairobi, Kenya 
(October 1983 to March 1984) 
The Nairobi region with its complex land 
scape was chosen as the area for the study, 
covering approximately 60 km x 60 km. The 
boundaries extend from Limuru to Athi River 
and from Ngong Hills to Thika excluding the 
Gregory Rift Valley (Figure 1). 
Nairobi is the capital city of Kenya and 
the fastest growing and most influential city 
in Eastern Africa. The population growth over 
the period 1984-1988 is expected to be 7,6% 
per annum,including 2,6% as a result of ru 
ral-urban migration (Government of Kenya 
1983). This implies that the population will 
double in 10-12 years. The demands for hou 
sing, services, work, water, food and energy 
are increasing rapidly. 
Located on the edge of the slopes of the 
Aberdares and the Athi-Kapithi Plains, Nairo 
bi manifests a variety of land-use conflicts. 
Some of these are inherent in the location 
at the interface between the pastoral socie 
ties developed on the plains and the agri 
cultural societies developed in the highlands, 
others are more complex conflicts resulting 
from the many possible uses of productive 
land in a metropolitan area. 
2 MATERIALS AND METHOD 
2.1 Materials 
The study was limited to readily available 
materials. A photographic enlargement at 
1:100.000 scale of LANDSAT false colour com 
posite (FCC) transparencies for the Nairobi 
area formed the basis for this study. The 
study area is shown on LANDSAT images 180/61 
of January 24th, 1976 and 181/61 of January 
25th, 1976. A black and white print of band 
Figure 1. Location of the study area.
	        

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