Show simple item record

dc.creatorNagabhatla, N.
dc.creatorWickramasuriya, R.
dc.creatorPrasad, S.N.
dc.identifier.citationJournal of the Indian Society of Remote Sensing 37(3):443-455
dc.description.abstractThe present study investigates the potential of readily available and easily accessible global data sets to understand regional/local level interactions in wetland systems. The biogeographical zones of India were used a base-frame to select three sites. The study well fits the interests of National Wetland Committee of India to investigate and document fundamental information on wetland extent/distribution. The national partnership with SACON represents this interest. Global data SACON commenced the inland wetland inventory module at national scale using geospatial data, although the provincial scale analysis is underway. In addition, the global irrigated area mapping (GIAM-IWMI) project generated multi-scalar spatial outputs for irrigated/rain-fed areas. With the existing information base, a multi-level geospatial analysis using Arc GIS algorithmic modelling was used to derive comprehensive appraisal of wetland systems complementing the data from GIAM and SACON. It was observed that the overlap between the two layers was 58 percent for Gujarat and 10 percent in Tamil Nadu. In Krishna basin the wetland’s cover 1.04 million hectare excluding the rice agro-ecosystem. The difference in the biogeography of the case sites governs the gradient of information derived from both data layers. Additionally, the global lakes and wetlands database (GLWD) database added thematic information on coastal wetlands. In summary we describe the cross-scaling the global data layers to compliment the regional/national level monitoring assignments.
dc.publisherSpringer India
dc.sourceJournal of the Indian Society of Remote Sensing
dc.titleFrom global to local: testing the potential of cross-scaling in global data sets
dc.typeJournal Article
dcterms.bibliographicCitationNagabhatla, N.; Wickramasuriya, R.; Prasad, S.N. (2009). From global to local: testing the potential of cross-scaling in global data sets. Journal of the Indian Society of Remote Sensing 37(3):443-455
dc.description.versionPeer Review
cg.coverage.regionSouth Asia
cg.subject.agrovocgeographical information systems
cg.contributor.affiliationUniversity of Wollongong
cg.contributor.affiliationSalim Ali Centre for Ornithology and Natural History
cg.identifier.statusLimited access
cg.identifier.ISIindexedISI indexed
cg.contribution.worldfishauthorNagabhatla, N.

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record