Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

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

456 Table 2. Key to the land-use units facilitated by the extensive network and access roads in the Nairobi area. Symbol Land-use units CT coffee, tea or pineapple F forest G grassland B buildup S sisal Table 3. Phototones of the land-use units. Phototone Land-use Land-use zone black : water bodies S3,S4,P4 green : bare red soil or quarries E.S2.P1,P3 red : bright red : soft wood plantations M1 ,E coffee S2,S3,S4 pineapple S3 foodcrops E,S1,S2,S5 riverbottom vegetation and wetlands S3,P3 dark red : indigenous forest M1,M2,S3,S5 low density residential S5 pinkish red : tea S1 f S4 yellow: yellow : grasslands M2,E,P1,P2,P3 pinkish yel : dairy grasslands S4 brown : brown : sisal P4 orange brown: sisal overgrown with grass P3 blue : bright light: roads P1 ,P2 blue : industrial high density residential grasslands with bare grey soil : commerce and administration middle density residential E,P1 S5,P2 S5,P2 agricultural activity, building construction costs), topography (altitude, drainage, set tlement, infrastructure) and the vegetation (a function of geomorphology, climate and soil) (Morgan 1969). For effective planning these elements must be considered and assessed and the LANDSAT imagery creates the appropriate basis for asking pertinent questions. Specific conclusions are: If properly used LANDSAT data could replace the intermediate scale inventory presently compiled from aerial photography at scales in the 1:100.000 to 1:250.000 range. This might be both cost and time effective. In particular the amount of information and its geographical location presented in the LANDSAT scene is an integration of the many influences at the earth's surface, and can guide the landscape planner's work effectively. The level of detail available provides an appropriate insight into land-use processes for the landscape planner at a regional level. This is particularly important for integrated planning and should contribute to better designs and plans for future development. REFERENCES Anderson, J.R. et al. 1976. A Land-use and Land-cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper 964. Washington DC: US Government Printing Office. Duchhart, I. 1986. Inleiding landschapsplan- ning in ontwikkelingslanden. Wageningen: Landbouw Hogeschool. * Government of Kenya 1983. Development Plan 1984-1988. Nairobi: Government Printer. Grootenhuis, F., H.Weeda & K.Kalambo 1986. An integrated study of the Nairobi area. Rotterdam: Balkema. Heetman, H. & I.Duchhart 1979. A short study of the landscape planning aspects of the Bura irrigation and settlement project, Kenya. Wageningen: University of Agriculture McHarg, I.L. 1969. Design with Nature. Philadelphia: Natural History Press. Morgan, W.T.W. 1969 . Nairobi: City and region London: Oxford University Press. Timberlake, L. 1985. Africa in crisis. London and Washington DC: International Institute for Environmental Development. Tjia, J.G.J. & Y.H.Tjiook 1985. A landscape plan for Cilanang Watershed. Wageningen: Agricultural University. Tolba, M. 1982. Opening address to^jthe Session of a Special Character at the 10 r Governing Council of the United Natons Environmental Program. Nairobi: UNEP. LANDSAT data in a photographic print at 1:100.000 scale proved to be interpretable at a surprisingly detailed level. Expanding the 1:1M scale land-cover map to a map of land-use at 1:100.000 scale required little fieldwork. The combination of fieldwork and pertinent information from other sources led to a rapid understanding of the spa tial patterns of interaction between man and the bio-physical environment in the Nairobi area. Interpretation of the colour, tone and tex ture of the LANDSAT FCC was relatively easy at the 1:100.000 scale. Many components could be interpreted and when related to existing map information, provided a valua ble level of information for mapping land- use zones. Checking of interpretation was

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