Synoptic assessment of water resource variability in reservoirs by remote sensing: General approach and application to the runoff harvesting systems of south India
Identifieur interne : 000A03 ( Istex/Curation ); précédent : 000A02; suivant : 000A04Synoptic assessment of water resource variability in reservoirs by remote sensing: General approach and application to the runoff harvesting systems of south India
Auteurs : François Mialhe [France] ; Yanni Gunnell [France] ; Catherine Mering [France]Source :
- Water Resources Research [ 0043-1397 ] ; 2008-05.
Abstract
This paper presents a methodological procedure based on remote sensing and image analysis techniques designed to map and quantify water stocks in small irrigation reservoirs over vast, user‐defined regions. Because the method is based on unsupervised pixel classification schemes, it is analytically transparent and entirely replicable and can therefore be used in most settings as a tool for integrated water resource management, planning, or policy making, with benefits to irrigation, land use, agriculture, and water‐related social issues. Satellite images of semiarid south India are used here to quantify fluctuating water volumes in ∼2500 reservoirs. In this pilot study, the detection of temporal trends and spatial discontinuities in land use at successive dates within reservoir beds is a proxy for assessing the performance of reservoirs and for formulating hypotheses on the environmental, socioeconomic, or anthropological reasons behind the inferred levels of infrastructural maintenance or disuse. The synoptic approach paves the way for future efforts as better ground truth data become available.
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DOI: 10.1029/2007WR006065
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Res.</title><idno type="ISSN">0043-1397</idno><idno type="eISSN">1944-7973</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2008-05">2008-05</date><biblScope unit="volume">44</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="/">n/a</biblScope><biblScope unit="page" to="/">n/a</biblScope></imprint><idno type="ISSN">0043-1397</idno></series><idno type="istex">2C962FA8F2E965F4571F3A9AFC34AE9155B0387F</idno><idno type="DOI">10.1029/2007WR006065</idno><idno type="ArticleID">2007WR006065</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0043-1397</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">This paper presents a methodological procedure based on remote sensing and image analysis techniques designed to map and quantify water stocks in small irrigation reservoirs over vast, user‐defined regions. Because the method is based on unsupervised pixel classification schemes, it is analytically transparent and entirely replicable and can therefore be used in most settings as a tool for integrated water resource management, planning, or policy making, with benefits to irrigation, land use, agriculture, and water‐related social issues. Satellite images of semiarid south India are used here to quantify fluctuating water volumes in ∼2500 reservoirs. In this pilot study, the detection of temporal trends and spatial discontinuities in land use at successive dates within reservoir beds is a proxy for assessing the performance of reservoirs and for formulating hypotheses on the environmental, socioeconomic, or anthropological reasons behind the inferred levels of infrastructural maintenance or disuse. The synoptic approach paves the way for future efforts as better ground truth data become available.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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