REMOTE SENSING OF WETLANDS IN YELLOWSTONE NATIONAL PARK

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" REMOTE SENSING OF WETLANDS IN YELLOWSTONE NATIONAL PARK "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150113
Doc. No	:	ET21905
Main Entry	:	Christopher Kevin Wright
Title Proper	:	REMOTE SENSING OF WETLANDS IN YELLOWSTONE NATIONAL PARK
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	As part of the Amphibian Research and Monitoring Initiative, satellite remotesensing was used to identify potential wetland amphibian habitat in Yellowstone NationalPark. Landsat Thematic Mapper imagery was combined with ancillary predictors ofwetland occurrence including habitat type, cover type, landform type, bedrock geology,soil attributes, terrain measures, and climate data. Classification trees were used topredict the likelihood of palustrine wetland occurrence across the Yellowstone landscape.Wetland maps generated by this study are intended to address shortcomings of theNational Wetland Inventory in Yellowstone; namely, errors-of-omission and thetemporally invariant nature of the inventory. Relative importance of Thematic Mapperimagery, image texture information, terrain measures, and thematic spatial data wereassessed by comparing the accuracy of classification trees trained with different subsetsof predictors. In general, classification trees using all available predictors exhibited thegreatest accuracy. Classification tree structure was similar in models generated withsatellite imagery from different years. Also, similar accuracy rates were found acrossyears. The results indicate that the method could be applied to annual wetlandmonitoring. Average producerبs accuracy for the palustrine wetland class wasapproximately 0.92. Five palustrine wetland classes were discriminated with an averageoverall accuracy of approximately 0.83. A wetland map derived from a 1 August, 2003Thematic Mapper image was field-verified in late-summer and early-autumn of 2003.The classification tree methodology appears to be sensitive to within-season wetlandcondition and yearly wetland variability. Satellite remote sensing located wetlands notmapped by the National Wetland Inventory and also identified upland sites erroneouslyclassified as wetland. Methods developed by this study are general enough to be appliedin other physiographic settings and should prove to be useful to amphibian conservationefforts over large geographic extents.,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45097.pdf
Title and statement of responsibility and	:	REMOTE SENSING OF WETLANDS IN YELLOWSTONE NATIONAL PARK [Thesis]