The use of local indicators of spatial association to improve LiDAR-derived predictions of potential amphibian breeding ponds
Journal of Geographical Systems
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Abstract
We examined whether spatially explicit information improved models that use LiDAR return signal intensity to discriminate in-pond habitat from terrestrial habitat at 24 amphibian breeding ponds. The addition of Local Indicators of Spatial Association (LISA) to LiDAR return intensity data significantly improved predictive models at all ponds, reduced residual error by as much as 74%, and appeared to improve models by reducing classification errors associated with types of in-pond vegetation. We conclude that LISA statistics can help maximize the information content that can be extracted from time resolved LiDAR return data in models that predict the occurrence of small, seasonal ponds. ?? Springer-Verlag 2008.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | The use of local indicators of spatial association to improve LiDAR-derived predictions of potential amphibian breeding ponds |
| Series title | Journal of Geographical Systems |
| DOI | 10.1007/s10109-008-0074-4 |
| Volume | 11 |
| Issue | 1 |
| Year Published | 2009 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of Geographical Systems |
| First page | 89 |
| Last page | 106 |
| Google Analytic Metrics | Metrics page |