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:: Contribution of remote sensing to food security and early warning systems in drought affected countries in Africa. Abdishakour A. Gulaid

Document type:: Multivolume work

Structure type:: Chapter

460 Ljr—-r-r—Q-T- 1978 MONTH 7 DAY 2? TIME 1225 GMT <N0RTH> CH. VIS 2 I'IlL I tUl'll I NOMINAL SCfltVPPEPPOCESSED SLOT 25 ChTRLOGUE 1084910051 - The presence of dense cloud cover during crop growing season, that could obstruct the earth surface observation from space. Despite the serious problems that these countries are facing, the following prospects could be observed: - The importance of regional cooperation has been recognized. - The awareness of certain problems has been strengthened. - The pursue of self-reliance in learning to utilize the available resources is increasing. 6 CONCLUSIONS The experiences, gained in the last two decades, have shown that the derivation of information from remote sensing data, both airborne and spaceborne in combination with other sorts of data, in ecological monitoring and land resource management of large regions in developing countries, is very revealing. Remote sensing data could contribute effectively to the compilation of land use maps, which is the first cornerstone for a meaningful crop forecasting and ecological monitoring programme. However, the effectiveness of such programmes could be enormously raised if the awareness and the self-reliance of these countries are timely encouraged and genuinely supported both in research and application. Fig 4. Synoptic view of METEOSAT image showing the cloud cover in tropical Africa (Source: Meteorological Institute, FU Berlin). in which remote sensing is needed. However, the upgrading of the two facilities, both in equipment and manpower is an essential prerequisite. 4.3 National The scope of the available technology in regard to remote sensing for agriculture and ecological monitoring varies from one country to another. In Kenya, for example, crop forecasting is carried out by two authorities, the Ministry of Agriculture and Livestock using conventional agrostatistical data, and the Kenya Rangeland Ecological Monitoring Unit applying remote sensing technology. The technical infrastructure is very favourable in Kenya. In Somalia, the establishment of a food security programme, in which the agricultural data is systematically collected and evaluated, started just in 1979/80 with the technical assistance of the Federal Republic of Germany. Agro statistical sampling correlated with agrometeorological data is used. Though there is an urgent wish to accelerate crop forecasting by integrating remote sensing technology, it will take some time before this could be realized. 5 PROBLEMS AND PROSPECTS Some of the common problems that these concerned group of countries share are characterized by: - The lack of sufficient information on the human and natural resources in the country, as a result of the weakness of the institutions that collect information or even their none existance. - The lack of adequate financial resources, skilled personnel, and appropriate facilities to permit remote sensing applications effectively. - The lack of receiving stations in the region that would ensure the acquisition of spaceborne data that these countries need. - The lack of a genuine planning and implementation policy towards the application of remote sensing technology. - The extreme variations in the climatic conditions, and the fragility of the ecosystems as a whole. 7 REFERENCES Agrawal, R.C & A.A.Gulaid 1986. Studie über Erntevorher sage und Frühwarnsysteme und Remote Sensing in Entwi cklungsländern am Beispiel ,ESP Somalia. Im Auftrag der GTZ, Teil I. Eschborn, FRG. Gwynne, M.D. & H.Croze 1980. The Concept and Practice of Ecological Monitoring over Large Areas of Land: The Systematic Reconnaissance Flight (SRF). ln Selected Works on Ecological Monitoring of Arid Areas. United Nations Environmental Programme, GEMS - Information series No. 1. Hielkma, j.u. 1980. Applications of Remote Sensing for Monitoring of the Environment in Arid Areas with Parti cular Reference to Natural Vegetation for Desert Locust Surveillance and Forecasting. In proceedings of the Joint ESA/FAO/WMO International Training Course, Rome, Italy, 27 October - 7 November, p.125 -132. Hofier, R.M. & C. Lindlaub 1976. Interpretation of Multis- pectral Scanner Images. Purdue University, West Lafayette, Indiana, USA. Macdonald, R.B. & F.G.Hall 1978. The LACIE Experience - A Summary. Proceedings of the International Symposium on Remote Sensing for Observation and Inventory of Earth Resources and Endangered Environment (VOL III), p. 1623 -1646. Peden, D.G. & H.Mwenda 1984. Estimating Maize Yield in Kenya Using Airborne Digital Photometers. KREMU Te chnical Report Number 110. Nairobi, Kenya. Tucker, C.j., Hielkma, J.U. & J.Roffey 1985. The Potential of Satellite Remote Sensing of Ecological Conditions for Survey and Forecasting. International Journal of Remote Sensing, Volume 6, Number 1, p 127 -138. Kalensky, Z.D. 1984. FAO Drought Monitoring in Africa. Remote Sensing Centre, United Nations Food and Agricultural Organization. Rome, Italy.

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