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Using remotely sensed data and elementary analytical techniques in post-katrina mississippi to examine storm damage modelingAuthor(s): Curtis A. Collins; David L. Evans; Keith L. Belli; Patrick A. Glass
Source: In: Pye, John M.; Rauscher, H. Michael; Sands, Yasmeen; Lee, Danny C.; Beatty, Jerome S., tech. eds. 2010. Advances in threat assessment and their application to forest and rangeland management. Gen. Tech. Rep. PNW-GTR-802. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest and Southern Research Stations: 225-236.
Publication Series: General Technical Report (GTR)
Station: Pacific Northwest Research Station
PDF: Download Publication (404.66 KB)
DescriptionHurricane Katrina’s passage through south Mississippi on August 29, 2005, which damaged or destroyed thousands of hectares of forest land, was followed by massive salvage, cleanup, and assessment efforts. An initial assessment by the Mississippi Forestry Commission estimated that over $1 billion in raw wood material was downed by the storm, with county-level damage percentages ranging from 50 percent to 60 percent across Mississippi’s three coastal counties. Remotely sensed data were used to provide a more complete picture of the damage inflicted by Katrina. Moderate (56- to 29-m) and high (1- to 0.3-m)-resolution data were acquired from spaceborne and airborne platforms in natural color and MultiSpectral (MS) formats. Transformed data such as Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI), along with damage estimates obtained by interpreting aerial photography, were also used as variables in a linear modeling process. This continuous damage prediction process demonstrated the effect of incorporating forest condition thematic information, prestorm moderate-resolution imagery with transforms, and poststorm moderate-resolution imagery with transforms. The resulting models, all of which used a large number of regressors, had overall fit values of RM2 adj = 0.708 and RMSE = 0.130 with all variable types used, R2 adj = 0.492 and RMSE = 0.172 with all variables except the forest condition data, and R2 adj = 0.599 and RMSE = 0.153 with all variables except the poststorm imagery data.
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CitationCollins, Curtis A.; Evans, David L.; Belli, Keith L.; Glass, Patrick A. 2010. Using remotely sensed data and elementary analytical techniques in post-katrina mississippi to examine storm damage modeling. In: Pye, John M.; Rauscher, H. Michael; Sands, Yasmeen; Lee, Danny C.; Beatty, Jerome S., tech. eds. 2010. Advances in threat assessment and their application to forest and rangeland management. Gen. Tech. Rep. PNW-GTR-802. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest and Southern Research Stations: 225-236.
KeywordsAWiFS, damage modeling, forest damage, hurricane damage, Katrina damage, timber damage.
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