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Discriminating and mapping the c3 and c4 composition of grasslands in the northern Great Plains, USA

Foody, G.M. and Dash, J. (2007) Discriminating and mapping the c3 and c4 composition of grasslands in the northern Great Plains, USA Ecological Informatics, 2, (2), pp. 89-93. (doi:10.1016/j.ecoinf.2007.03.009).

Record type: Article

Abstract

There is uncertainty about the extent and distribution of grasslands following the C3 and C4 photosynthetic pathways. Since these grasses have an asynchronous seasonal profile it should be possible to estimate and map the C3–C4 composition of grasslands from multi-temporal remote sensing imagery. This potential was evaluated using 30 weekly composite MERIS MTCI images for South Dakota, USA. Derived relationships between the remotely sensed response and composition of grasslands were significant, with R2 0.6. It also appears possible to map broad classes of grassland composition, with a three class (high, medium and low C3 cover) classification having an accuracy of 77.8%.

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More information

Published date: 1 June 2007
Keywords: remote sensing, grassland, c3 and c4 photosynthesis, MERIS MTCI

Identifiers

Local EPrints ID: 55480
URI: http://eprints.soton.ac.uk/id/eprint/55480
ISSN: 1574-9541
PURE UUID: 9a56b26b-d3a5-4d78-a69a-1ee6063d08f2
ORCID for J. Dash: ORCID iD orcid.org/0000-0002-5444-2109

Catalogue record

Date deposited: 01 Aug 2008
Last modified: 17 Jul 2017 14:32

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Contributors

Author: G.M. Foody
Author: J. Dash ORCID iD

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