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), 89-93. (doi:10.1016/j.ecoinf.2007.03.009).

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Description/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%.

Item Type: Article
ISSNs: 1574-9541 (print)
Related URLs:
Keywords: remote sensing, grassland, c3 and c4 photosynthesis, MERIS MTCI
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GB Physical geography
Divisions: University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 55480
Date Deposited: 01 Aug 2008
Last Modified: 27 Mar 2014 18:38
Contact Email Address: J.Dash@soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/55480

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