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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:
An integrated study of the Nairobi area - Land-cover map based on FCC 1:1M. 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

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
445 
An integrated study of the Nairobi area - Land-cover map 
based on FCC 1:1M 
F.Grootenhuis & H.Weeda 
Nairobi, Kenya 
K.Kalambo 
Landplan, Nairobi, Kenya 
ABSTRACT: The goal of the study was to explore the suitability of readily available LANDSAT 
imagery (in photographic form) for landscape planning in a developing country. The exercise 
focussed on the complex landscape of the Nairobi region. Visual interpretation formed the 
basis for a physiographic map at 1:1 Million (1:1M) scale describing the form of the earth 
surface of the study area. Representative traverses were chosen and fieldwork was carried out 
along these cross-sections. The integration of the field recordings and the .zoning from the 
physiographic map produced a land-cover map at 1:1M scale depicting the features present on 
the earth surface. 
The results of the analysis of the land-cover pattern at the scale 1:1M are suitable for use 
as basic information for integrated planning. The results are cost effective in terms of the 
investment of time and money required, and represent a valuable input to the planning process. 
1 INTRODUCTION 
Planning for development requires knowledge 
of the ecological conditions for a sustaina 
ble use of renewable natural resources (Tolba 
1982). In landscape planning emphasis is 
given to the bio-physical components of the 
landscape and their interaction. An integra 
ted study of these factors should be the 
first step (McHarg 1969). 
This paper describes the information that 
could be drawn from LANDSAT images readily 
available at a scale 1:1M as an orientation 
for landscape planning (Duchhart 1986). 
The study has been undertaken as a follow up 
of the Extended Training Course on Remo 
Sensing and Rangeland at the Regional Remote 
Sensing Facility (RRSF) in Nairobi, Kenya 
(October 1983 to March 1984). 
Figure 1 . Location of the study area and the 
physiographic cross-sections. 
The area chosen for the study covers approxi 
mately 60 km x 60 km and includes the city 
of Nairobi. The boundaries of the study area 
extend from Limuru to Athi River and from 
the Ngong Hills to Thika, excluding the 
Gregory Rift Valley (Figure 1). 
Major topographic, climatic and vegetation 
gradients run northwest to southeast across 
the area, resulting in the complex landscape 
around and within the city of Nairobi. 
Nairobi is the capital city of Kenya and the 
fastest growing and most influential city in 
Eastern Africa. Population growth over the 
period 1984-1988 is expected to be 7,6% per 
annum,, including 2,6% as a result of rural- 
urban migration (Government of Kenya 1983) 
This implies that the population will dpuble 
in 10-12 years. The consequent demands for 
housing, 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 inter-face 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. These included the collection of 
LANDSAT false colour composite (FCC) trans 
parencies at 1:1M scale held at the RRSF and 
the LANDSAT images 180/61 of January 24th, 
1976 and 181/61 of January 25th, 1976 formed 
the basis for the study. They were chosen 
since they were almost cloud-free and of bet 
ter quality than any of the other images.
	        

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