Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China

Graduate Student, Environmental Science The University of Kansas Platinum Sponsors KU School of Business Gold Sponsors Bartlett & West KU Department of Geography KU Environmental Studies Program KU Institute for Policy & Social Research KU Libraries Silver Sponsors Kansas Biological Survey K...

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Main Author: Yasarer, Lindsey
Format: Conference Object
Language:unknown
Published: GIS Day @ KU Planning Committee 2015
Subjects:
gis day student competition
Center for Remote Sensing of Ice Sheets (CReSIS)
Online Access:http://hdl.handle.net/1808/16445
http://www.gis.ku.edu/gisday/2014/studentcomp/
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spelling ftunivkansas:oai:kuscholarworks.ku.edu:1808/16445 2023-05-15T15:53:44+02:00 Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China Yasarer, Lindsey 2015-01-30T16:59:21Z http://hdl.handle.net/1808/16445 http://www.gis.ku.edu/gisday/2014/studentcomp/ unknown GIS Day @ KU Planning Committee https://mediahub.ku.edu/media/Lindsey+Yasarer/0_vpkxpcpz http://www.gis.ku.edu/gisday/2014/studentcomp/ http://hdl.handle.net/1808/16445 openAccess gis day student competition Presentation Video 2015 ftunivkansas 2022-08-26T13:16:12Z Graduate Student, Environmental Science The University of Kansas Platinum Sponsors KU School of Business Gold Sponsors Bartlett & West KU Department of Geography KU Environmental Studies Program KU Institute for Policy & Social Research KU Libraries Silver Sponsors Kansas Biological Survey KU Center for Global & International Studies Bronze Sponsors Global Information Systems State of Kansas Data Access and Support Center (DASC) KU Center for Remote Sensing of Ice Sheets (CReSIS) Conference Object Center for Remote Sensing of Ice Sheets (CReSIS) The University of Kansas: KU ScholarWorks
institution Open Polar
collection The University of Kansas: KU ScholarWorks
op_collection_id ftunivkansas
language unknown
topic gis day student competition
spellingShingle gis day student competition
Yasarer, Lindsey
Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
topic_facet gis day student competition
description Graduate Student, Environmental Science The University of Kansas Platinum Sponsors KU School of Business Gold Sponsors Bartlett & West KU Department of Geography KU Environmental Studies Program KU Institute for Policy & Social Research KU Libraries Silver Sponsors Kansas Biological Survey KU Center for Global & International Studies Bronze Sponsors Global Information Systems State of Kansas Data Access and Support Center (DASC) KU Center for Remote Sensing of Ice Sheets (CReSIS)
format Conference Object
author Yasarer, Lindsey
author_facet Yasarer, Lindsey
author_sort Yasarer, Lindsey
title Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
title_short Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
title_full Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
title_fullStr Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
title_full_unstemmed Using ArcGIS to extrapolate greenhouse gas emissions on the Pengxi River, a tributary of the Three Gorges Reservoir in China
title_sort using arcgis to extrapolate greenhouse gas emissions on the pengxi river, a tributary of the three gorges reservoir in china
publisher GIS Day @ KU Planning Committee
publishDate 2015
url http://hdl.handle.net/1808/16445
http://www.gis.ku.edu/gisday/2014/studentcomp/
genre Center for Remote Sensing of Ice Sheets (CReSIS)
genre_facet Center for Remote Sensing of Ice Sheets (CReSIS)
op_relation https://mediahub.ku.edu/media/Lindsey+Yasarer/0_vpkxpcpz
http://www.gis.ku.edu/gisday/2014/studentcomp/
http://hdl.handle.net/1808/16445
op_rights openAccess
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