Agricultural Production Monitoring in the Sahel Using Remote Sensing: Present Possibilities and Research Needs
Identifieur interne : 000024 ( Istex/Corpus ); précédent : 000023; suivant : 000025Agricultural Production Monitoring in the Sahel Using Remote Sensing: Present Possibilities and Research Needs
Auteurs : Eric F. Lambin ; Pamela Cashman ; Aaron Moody ; Bruce H. Parkhurst ; Mary H. Pax ; Crystal Barker SchaafSource :
- Journal of Environmental Management [ 0301-4797 ] ; 1993.
English descriptors
Abstract
The main objective is to review the current status of research related to the monitoring of agricultural production in the Sahel (west Africa). The Sahel suffers from frequent shortages of food. It is therefore important to have a tool to monitor environmental variables, and thus crop production, during the agricultural season. Satellite remote sensing can contribute significantly to such a system by collecting information on crops and on environmental variables at a sub-continental geographical scale and with a high temporal frequency. One part of the problem is to estimate crop acreage. The technique of area-sampling frame has to adapted to the Sahelian landscape, which is dominated by traditional farming systems. The second part is to estimate crop yields. Three main approaches exist: statistical, semi-deterministic or deterministic. The use of vegetation indices is discussed as well as techniques to derive biophysical variables from remotely-sensed data. Finally, the integration of these remote-sensing techniques with crop-growth models is discussed and some research needs are identified. It is argued that the quantitative assessment of agricultural production in the Sahel should be based on the integration of remotely-sensed data with semi-deterministic agrometeorological models. This approach will allow a regionalization of the production estimates.
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DOI: 10.1006/jema.1993.1047
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ISTEX:335FFBE5D3459105BF8DA8C0152371F2C1D76176Le document en format XML
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The Sahel suffers from frequent shortages of food. It is therefore important to have a tool to monitor environmental variables, and thus crop production, during the agricultural season. Satellite remote sensing can contribute significantly to such a system by collecting information on crops and on environmental variables at a sub-continental geographical scale and with a high temporal frequency. One part of the problem is to estimate crop acreage. The technique of area-sampling frame has to adapted to the Sahelian landscape, which is dominated by traditional farming systems. The second part is to estimate crop yields. Three main approaches exist: statistical, semi-deterministic or deterministic. The use of vegetation indices is discussed as well as techniques to derive biophysical variables from remotely-sensed data. Finally, the integration of these remote-sensing techniques with crop-growth models is discussed and some research needs are identified. 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The Sahel suffers from frequent shortages of food. It is therefore important to have a tool to monitor environmental variables, and thus crop production, during the agricultural season. Satellite remote sensing can contribute significantly to such a system by collecting information on crops and on environmental variables at a sub-continental geographical scale and with a high temporal frequency. One part of the problem is to estimate crop acreage. The technique of area-sampling frame has to adapted to the Sahelian landscape, which is dominated by traditional farming systems. The second part is to estimate crop yields. Three main approaches exist: statistical, semi-deterministic or deterministic. The use of vegetation indices is discussed as well as techniques to derive biophysical variables from remotely-sensed data. Finally, the integration of these remote-sensing techniques with crop-growth models is discussed and some research needs are identified. It is argued that the quantitative assessment of agricultural production in the Sahel should be based on the integration of remotely-sensed data with semi-deterministic agrometeorological models. This approach will allow a regionalization of the production estimates.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>agricultural production, information system, remote sensing, Sahel</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Agricultural Production Monitoring in the Sahel Using Remote Sensing: Present Possibilities and Research Needs</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Agricultural Production Monitoring in the Sahel Using Remote Sensing: Present Possibilities and Research Needs</title></titleInfo><name type="personal"><namePart type="given">Eric F.</namePart><namePart type="family">Lambin</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Pamela</namePart><namePart type="family">Cashman</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Aaron</namePart><namePart type="family">Moody</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bruce H.</namePart><namePart type="family">Parkhurst</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mary H.</namePart><namePart type="family">Pax</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Crystal Barker</namePart><namePart type="family">Schaaf</namePart><affiliation>Department of Geography, Boston University, 675 Commonwealth Ave., Boston, Massachusetts 02215, U.S.A. and Geophysics Directorate, Phillips Laboratory, Hanscom AFB, Massachusetts 01731, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1993</dateIssued><copyrightDate encoding="w3cdtf">1993</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The main objective is to review the current status of research related to the monitoring of agricultural production in the Sahel (west Africa). The Sahel suffers from frequent shortages of food. It is therefore important to have a tool to monitor environmental variables, and thus crop production, during the agricultural season. Satellite remote sensing can contribute significantly to such a system by collecting information on crops and on environmental variables at a sub-continental geographical scale and with a high temporal frequency. One part of the problem is to estimate crop acreage. The technique of area-sampling frame has to adapted to the Sahelian landscape, which is dominated by traditional farming systems. The second part is to estimate crop yields. Three main approaches exist: statistical, semi-deterministic or deterministic. The use of vegetation indices is discussed as well as techniques to derive biophysical variables from remotely-sensed data. Finally, the integration of these remote-sensing techniques with crop-growth models is discussed and some research needs are identified. It is argued that the quantitative assessment of agricultural production in the Sahel should be based on the integration of remotely-sensed data with semi-deterministic agrometeorological models. This approach will allow a regionalization of the production estimates.</abstract><note type="content">Section title: Regular Article</note><subject lang="en"><genre>Keywords</genre><topic>agricultural production, information system, remote sensing, Sahel</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Environmental Management</title></titleInfo><titleInfo type="abbreviated"><title>YJEMA</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199308</dateIssued></originInfo><identifier type="ISSN">0301-4797</identifier><identifier type="PII">S0301-4797(00)X0084-9</identifier><part><date>199308</date><detail type="volume"><number>38</number><caption>vol.</caption></detail><detail type="issue"><number>4</number><caption>no.</caption></detail><extent unit="issue pages"><start>247</start><end>334</end></extent><extent unit="pages"><start>301</start><end>322</end></extent></part></relatedItem><identifier type="istex">335FFBE5D3459105BF8DA8C0152371F2C1D76176</identifier><identifier type="DOI">10.1006/jema.1993.1047</identifier><identifier type="PII">S0301-4797(83)71047-9</identifier><accessCondition type="use and reproduction" contentType="copyright">©1993 Academic Press</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Academic Press, ©1993</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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