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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Goodin, D.G. Henebry, G.M. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Geogr., Kansas State Univ., Manhattan, KS, USA (Goodin, D.G.) |
| Abstract | Natural and anthropogenic disturbance in tallgrass prairie communities can induce changes in plant species composition, including shifts in abundance of C/sub 3/ vs. C/sub 4/ lifeforms. The asynchronous seasonalities in greenness that C/sub 3/ and C/sub 4/ species exhibit should enable monitoring of their relative abundance using sensor derived vegetation indices, such as NDVI. The authors used close-range measurements made over 22 experimental. Plots at the Konza Prairie Research Natural Area (KPRNA) to evaluate seasonal trajectories in canopy greenness as a function of C/sub 3//C/sub 4/ ratio. NDVI data were collected from each plot at approximately ten day intervals throughout the 1995 growing season. Temporal trajectories were used to develop discriminant functions to model relative C/sub 3//C/sub 4/ abundances. The discriminant model yielded values of Kendall's /spl tau//sub b/ and Cohen's /spl kappa/ statistic of 0.794 and 0.781, indicating strong agreement between classes and an overall classification significantly better than random assignment. Results suggest the possibility of applying spectral-temporal mixture models derived from close-range sensing to larger scale monitoring of tallgrass prairie. |
| Starting Page | 215 |
| Ending Page | 217 |
| File Size | 309084 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780330684 |
| DOI | 10.1109/IGARSS.1996.516295 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-05-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vegetation Sampling methods Reflectivity Biological system modeling Monitoring Humans Geography Computational biology Plants (biology) Statistics |
| Content Type | Text |
| Resource Type | Article |
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