Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data

This presentation was given as part of the GIS Day@KU symposium on November 18, 2015. For more information about GIS Day@KU activities, please see http://www.gis.ku.edu/gisday/2015/. Platinum Sponsors: KU Department of Geography and Atmospheric Science; KU School of Business. Gold Sponsors: Bartlett...

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Main Authors: de Oliveira, Gabriel, Brunsell, Nathaniel A.
Format: Conference Object
Language:unknown
Published: GIS Day @ KU Planning Committee 2016
Subjects:
Online Access:http://hdl.handle.net/1808/20360
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spelling ftunivkansas:oai:kuscholarworks.ku.edu:1808/20360 2023-05-15T15:53:44+02:00 Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data de Oliveira, Gabriel Brunsell, Nathaniel A. 2016-02-25T18:04:51Z http://hdl.handle.net/1808/20360 unknown GIS Day @ KU Planning Committee http://hdl.handle.net/1808/20360 openAccess GIS Day Student poster competition Presentation 2016 ftunivkansas 2022-08-26T13:18:51Z This presentation was given as part of the GIS Day@KU symposium on November 18, 2015. For more information about GIS Day@KU activities, please see http://www.gis.ku.edu/gisday/2015/. Platinum Sponsors: KU Department of Geography and Atmospheric Science; KU School of Business. Gold Sponsors: Bartlett & West; Kansas Biological Survey; KU Environmental Studies Program; KU Institute for Policy & Social Research; KU Libraries. Silver Sponsors: State of Kansas Data Access and Support Center (DASC). Bronze Sponsors: KU Center for Remote Sensing of Ice Sheets (CReSIS); TREKK Design Group, LLC; Wilson & Company, Engineers and Architects. 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 poster competition
spellingShingle GIS Day
Student poster competition
de Oliveira, Gabriel
Brunsell, Nathaniel A.
Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
topic_facet GIS Day
Student poster competition
description This presentation was given as part of the GIS Day@KU symposium on November 18, 2015. For more information about GIS Day@KU activities, please see http://www.gis.ku.edu/gisday/2015/. Platinum Sponsors: KU Department of Geography and Atmospheric Science; KU School of Business. Gold Sponsors: Bartlett & West; Kansas Biological Survey; KU Environmental Studies Program; KU Institute for Policy & Social Research; KU Libraries. Silver Sponsors: State of Kansas Data Access and Support Center (DASC). Bronze Sponsors: KU Center for Remote Sensing of Ice Sheets (CReSIS); TREKK Design Group, LLC; Wilson & Company, Engineers and Architects.
format Conference Object
author de Oliveira, Gabriel
Brunsell, Nathaniel A.
author_facet de Oliveira, Gabriel
Brunsell, Nathaniel A.
author_sort de Oliveira, Gabriel
title Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
title_short Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
title_full Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
title_fullStr Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
title_full_unstemmed Understanding the Effects of Fire on Net Radiation and Evapotranspiration Patterns in a Mature Amazonian Forest Using MODIS Remote Sensing Data
title_sort understanding the effects of fire on net radiation and evapotranspiration patterns in a mature amazonian forest using modis remote sensing data
publisher GIS Day @ KU Planning Committee
publishDate 2016
url http://hdl.handle.net/1808/20360
genre Center for Remote Sensing of Ice Sheets (CReSIS)
genre_facet Center for Remote Sensing of Ice Sheets (CReSIS)
op_relation http://hdl.handle.net/1808/20360
op_rights openAccess
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