Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu12200216572021-08-03T05:54:20Z Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation Zhang, Bo Environmental Science The Prairie Pothole Region in the United States contains millions of seasonal, semipermanent,or permanent lakes and wetlands that typically range in size from 0.1 to 10hectares. These lakes and wetlands are vulnerable to climate change, especially in ourstudy area of South Dakota, in which a period of deluge following a sharp droughtconsiderably expanded the areal extent of prairie pothole lakes during the last decade ofthe twentieth century. Preliminary estimates of lake areas, determined using Landsat 5and 7 images, had appreciable errors especially for the smallest of these lakes. Wedeveloped a new sub-pixel approach integrated with a Classification and Regression Tree(CART) model using a Geographical Information System (GIS) to quantify mixed waterpixels along lake boundaries to improve the area estimations for pothole lakes. Errors inestimated area were typically 10 percent or less for lakes greater than 1 hectare in size. 2008-09-12 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1220021657 http://rave.ohiolink.edu/etdc/view?acc_num=osu1220021657 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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language |
English |
sources |
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topic |
Environmental Science |
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Environmental Science Zhang, Bo Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
author |
Zhang, Bo |
author_facet |
Zhang, Bo |
author_sort |
Zhang, Bo |
title |
Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
title_short |
Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
title_full |
Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
title_fullStr |
Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
title_full_unstemmed |
Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation |
title_sort |
data mining, gis and remote sensing: application in wetland hydrological investigation |
publisher |
The Ohio State University / OhioLINK |
publishDate |
2008 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1220021657 |
work_keys_str_mv |
AT zhangbo datamininggisandremotesensingapplicationinwetlandhydrologicalinvestigation |
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1719427546881196032 |