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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:
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

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

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Contribution of remote sensing to food security and early warning 
systems in drought affected countries in Africa 
Abdishakour A.Gulaid 
Department of Photogrammetry and Cartography, Technical University of Berlin, FR Germany 
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ABSTRACT: As a result of the disastrous drought that affected many countries in the Sahel Zone in 1973/74, the 
international community has been looking for means of obtaining immediate and reliable information on the potential causes 
of this terrible danger that threatens millions of human and animal lives. The Food and Agricultural Organization of the 
United Nations (FAO), for example, has established an early warning system for predicting food shortages in many developing 
countries. The United Nations Environmental Programme (UNEP) installed a global environmental monitoring programme 
(GEMS). Many developing countries have set up their own food security and early warning systems with the help of 
multilateral or bilateral technical cooperation projects. The common aim of these programmes is the collection, processing 
and analysis of relevant data with the help of one or several methods, and the subsequent presentation of the derived 
information to the planners and decision-makers in order to take appropriate measures in time. 
This paper assesses the role of remote sensing in the existing and the future food security programmes and early warning 
systems in developing countries with particular emphasis on the drought affected countries in Africa. 
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1 INTRODUCTION 
The immediate consequences of the disastrous drought in 
1973/74 were water shortage, a drastic decline in crop and 
livestock production, the loss of hundreds of thousands of 
human and animal lives, and the destruction of the 
ecological balance that caused the encroachment of the 
desert with an unprecedented acceleration. In order to 
overcome these problems, various programmes were 
launched at the international, regional and national levels. 
Some of these programmes, such as the evacuation and the 
immediate supply of relief aid to the affected population, 
were short-term; others were mid-term or long-term such 
as the food security programmes and the rehabilitation 
measures, namely, the reforestation and the soil 
conservation programmes. 
The main objective of food security programmes is to 
ensure the population of a country with a certain minimum 
amount of food per capita. One instrument for the food 
security is the early warning system, whose task is the 
acquisition of reliable information on the situation of the 
available food supply and demand in the country, so as to 
increase its preparedness to better meet the eventual food 
shortages. The information needs to be collected on various 
interactive factors such as price policy, weather, soil, and 
the type of technology available, which affect production 
of food both from crops and livestock. The type of 
information and the methods of collecting it vary widely. 
The discussion in this paper will be confined to the type of 
information that could be derived by means of remote 
sensing methods and relevant to this topic. 
Remote sensing from aircraft has been used since the 
1930's, however its broad applications increased with the 
industrial development of aircraft technology and 
photographical materials after the Second World War. The 
introduction of colour and infrared-colour film, has made 
the monitoring of crop conditions and identification of 
insect pests and crop diseases possible. Aerial photography, 
as is known, is today an important base for any major 
natural resource survey project, specially in developing 
countries where the available relevant maps are usually not 
updated. 
The improvement in the remote sensing technology in 
respect of hardware and software in the last decade and 
the availability of multisensoral (MSS, TM, SPOT, 
METEOSAT, NOAA, etc.) and multitemporal data offers 
the user today a wider choice to acquire the information 
needed. 
Through the launching of the first Earth Observational 
Satellites, LANDSAT 1-3 in the 1970's, the remote sensing 
user community turned to this new source of image data in 
order to derive information according to their needs. 
Experiments using LANDSAT Multispectral Scanner (MSS) 
images for land use and resource management among 
others started. 
In 1974 The National Space Agency (NASA), the US 
Department of Agriculture, (USDA), and the National 
Oceanic and Atmospheric Administration (NOAA) initiated 
the Large Crop Iventory Experiment (LACIE), a LANDSAT- 
image based programme correlated with meteorological 
information, to survey wheat production among the world's 
largest producers (Macdonald,Hall 1978). Though the 
technology applied was relatively sophisticated at that 
time and could hardly be transfered to developing 
countries, the experience collected in this pilot project was 
valuable and encouraging. Despite certain limitations such 
as the spatial resolution of the LANDSAT images, which 
caused user reservations at the beginning, the research and 
application of this type of data in renewable resources such 
as hydrology, agriculture and forestry has increased 
worldwide. This became useful for many developing 
countries in providing a range of thematic maps in the 
scale of 1:250.000 and smaller. 
The LANDSAT series continued with the launching of 
LANDSAT 4 in 1982 and LANDSAT 5 in 1985. The 
Thematic Mapper data of these two satellites have shown a 
major improvement in the spatial resolution, particularly in 
agricultural and vegetation covered areas. The 
disadvantage of the LANDSAT TM is the bulk of data that 
should be processed and the eventual costs. 
Today the user community is eager to see the 
preliminary results of the first images of SPOT that was 
launched in February 1986. Besides the expected 10-20 m 
ground resolution, the introduction of stereoscopic 
coverage is surely a major achievement for various fields 
of application such as the topographic and geological 
mapping. 
Besides the earth resource observation satellites, there 
is the other group of satellites, the environmental 
satellites, whose main task is to monitor the global 
weather conditions. These meteorological satellites are 
either geostationary (GEOS, METEOSAT) with an altitude 
of 36000 km above the earth or polar-orbiting (NOAA-7, 
NOAA-9) with a flight altitude of around 860 km. The 
METEOSAT data can be received every 30 minutes, 
whereas the NOAA-9 data could be obtained twice a day. 
This frequent acquisition of data allows the weather 
forecasters to predict imminent hazards early enough.
	        

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