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Remote sensing and hydrological mode...

Miller, Mary Ellen.

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Remote sensing and hydrological modeling of burn scars.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Remote sensing and hydrological modeling of burn scars./
Author:	Miller, Mary Ellen.
Description:	212 p.
Notes:	Adviser: Joseph F. Atkinson.
Contained By:	Dissertation Abstracts International67-11B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3244284
ISBN:	9780542999826

Remote sensing and hydrological modeling of burn scars.
Miller, Mary Ellen.

Remote sensing and hydrological modeling of burn scars. - 212 p.

Adviser: Joseph F. Atkinson.

Thesis (Ph.D.)--State University of New York at Buffalo, 2007.

This study examined the potential usefulness of combining remote sensing data with hydrologic models and mapping tools available from Geographic Information Systems (GIS), to evaluate the effects of wildfire. Four subprojects addressed this issue: (1) validation of burn scar maps derived from the Advanced Very High Resolution Radiometer (AVHRR) with the National Fire Occurrence Database; (2) testing the potential of thermal MODIS (Moderate Resolution Imaging Spectroradiometer) data for near-real time burn scar and fire severity mapping; (3) evaluation of Landsat derived burn severity maps within WEPP through the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP), and (4) predicting potential post-fire erosion for western U.S. forests utilizing existing datasets and models.

ISBN: 9780542999826Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Remote sensing and hydrological modeling of burn scars.
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020 $a 9780542999826
035 $a (UMI)AAI3244284
035 $a AAI3244284
040 $a UMI $c UMI
100 1 $a Miller, Mary Ellen. $3 639311
245 1 0 $a Remote sensing and hydrological modeling of burn scars.
300 $a 212 p.
500 $a Adviser: Joseph F. Atkinson.
500 $a Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6653.
502 $a Thesis (Ph.D.)--State University of New York at Buffalo, 2007.
520 $a This study examined the potential usefulness of combining remote sensing data with hydrologic models and mapping tools available from Geographic Information Systems (GIS), to evaluate the effects of wildfire. Four subprojects addressed this issue: (1) validation of burn scar maps derived from the Advanced Very High Resolution Radiometer (AVHRR) with the National Fire Occurrence Database; (2) testing the potential of thermal MODIS (Moderate Resolution Imaging Spectroradiometer) data for near-real time burn scar and fire severity mapping; (3) evaluation of Landsat derived burn severity maps within WEPP through the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP), and (4) predicting potential post-fire erosion for western U.S. forests utilizing existing datasets and models.
520 $a Wildfire poses incredibly complex management problems in all of its stages. Today's land managers have the option of trying to mitigate the effects of a severe fire before it occurs by fuel management practices. This process is expensive especially considering the uncertainty of when and where the next fire in a given region will occur. When a wildfire does occur, deciding when to let it burn and when to suppress it may lead to controversial decisions. In addition to the threat to life and property from the fire itself, smoke emissions from large fires can cause air quality problems in distant airsheds. Even after the fire is extinguished, erosion and water quality problems may pose difficult management questions.
520 $a Contributions stemming from these studies include improved burn scar maps for studying historical fire extent and demonstration of the feasibility of using thermal satellite data to predict burn scar extent when clouds and smoke obscure visible bands. The incorporation of Landsat derived burn severity maps was shown to improve post-fire erosion modeling results. Finally the potential post-fire burn severity and erosion risk maps generated for western US forests will be used for planning pre-fire fuel reduction treatments.
590 $a School code: 0656.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Physical Geography. $3 893400
650 4 $a Remote Sensing. $3 1018559
690 $a 0368
690 $a 0478
690 $a 0775
690 $a 0799
710 2 $a State University of New York at Buffalo. $3 1017814
773 0 $t Dissertation Abstracts International $g 67-11B.
790 $a 0656
790 1 0 $a Atkinson, Joseph F., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3244284