作者: Elijah Ramsey , Sijan Sapkota , D.K. Chappell , D.G. Baldwin , Dennis M. Jacobs
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摘要: A temporal suite of NOAA Advanced Very High Resolution Radiometer (AVHRR) images, transformed into a vegetation biomass indicator, was combined with single-date classification Landsat Thematic Mapper (TM) to map the association between forest type and hurricane effects. Hurricane effects forested wetland included an abrupt decrease subsequent increase in biomass. The associated impact abnormal bloom impacted areas. Impact severity estimated by differencing maps before immediately (3 days) after hurricane. Recovery magnitude from shortly (1.5 months) Regions dominantly hardwoods suffering high moderate impacts cypress-tupelos low identified this study corroborated findings earlier studies. Conversely, areas not reported previous studies as affected were identified, these showed reverse relationship, i.e., highly cypresstupelo or moderately hardwoods. Additionally, generated proportions hardwood, cypress-tupelo, open (mixed) forests per each 1-km pixel (impact recovery maps) suggest that regions containing higher percentages more likely have sustained impacts. Visual examination revealed spatial covariation increased magnitudes river corridors dominated forest. This examining changes percentage pixel; peaked at distribution supported distribution; however, two indicators always spatially dependent. Converse univariate statistics describing a11 area within basin, recoveries tended be