Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing

Data from space born sensors, the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to investigate albedo trends over the entire Greenland ice sheet for the period 1982-2005. Data from the two sensors is merged in order to perform...

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Bibliographic Details
Main Author: Veenhuis, Bruce
Other Authors: Box, Jason
Format: Thesis
Language:English
Published: The Ohio State University 2006
Subjects:
Online Access:http://hdl.handle.net/1811/6544
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spelling ftohiostateu:oai:kb.osu.edu:1811/6544 2023-05-15T16:27:22+02:00 Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing Veenhuis, Bruce Box, Jason 2006-06 3573481 bytes application/pdf http://hdl.handle.net/1811/6544 en_US eng The Ohio State University The Ohio State University. Department of Geography Sciences Honors Theses; 2006 http://hdl.handle.net/1811/6544 Attribution-NoDerivs 2.5 Generic http://creativecommons.org/licenses/by-nd/2.5/ CC-BY-ND Meteorology Remote Sensing Greenland Atmospheric Science Thesis 2006 ftohiostateu 2020-08-22T19:34:25Z Data from space born sensors, the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to investigate albedo trends over the entire Greenland ice sheet for the period 1982-2005. Data from the two sensors is merged in order to performing an extended trend analysis, as the current publicly available AVHRR data only cover the period from 1982-1999. Satellite derived albedo measurements are compared with in-situ automatic weather station albedo values in order to assess sensor biases and inter-calibrate the datasets. Comparing AVHRR and MODIS with in-situ observations yields mean biases of -0.032 and -0.050 and root mean square errors of 0.093 and 0.075, respectively. Dataset inter-calibration is attempted using the mean biases as offsets and by calibrating each albedo image to the dry snow constant. Dataset in-homogeneity issues are not entirely resolved; therefore trend analysis is performed separately for each data record. AVHRR registers statistically significant mean albedo reductions as large as 0.08 over the southern ice sheet and ice sheet periphery. Albedo remained unchanged over the interior dry-snow region. MODIS period data reveal additional reductions, with albedo decreasing more than 0.08 along the ice sheet margins during the early melt season (i.e., April 1- June 31). Investigation of albedo-temperature correlation yields statistically significant values at the 99% level as great as -0.8 along ice sheet margins, where melting strongly influences albedo. NASA grant NNG04GH70G Ohio State University Undergraduate Honor’s Research Scholarship Thesis Greenland Ice Sheet Ohio State University (OSU): Knowledge Bank Greenland
institution Open Polar
collection Ohio State University (OSU): Knowledge Bank
op_collection_id ftohiostateu
language English
topic Meteorology
Remote Sensing
Greenland
Atmospheric Science
spellingShingle Meteorology
Remote Sensing
Greenland
Atmospheric Science
Veenhuis, Bruce
Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
topic_facet Meteorology
Remote Sensing
Greenland
Atmospheric Science
description Data from space born sensors, the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to investigate albedo trends over the entire Greenland ice sheet for the period 1982-2005. Data from the two sensors is merged in order to performing an extended trend analysis, as the current publicly available AVHRR data only cover the period from 1982-1999. Satellite derived albedo measurements are compared with in-situ automatic weather station albedo values in order to assess sensor biases and inter-calibrate the datasets. Comparing AVHRR and MODIS with in-situ observations yields mean biases of -0.032 and -0.050 and root mean square errors of 0.093 and 0.075, respectively. Dataset inter-calibration is attempted using the mean biases as offsets and by calibrating each albedo image to the dry snow constant. Dataset in-homogeneity issues are not entirely resolved; therefore trend analysis is performed separately for each data record. AVHRR registers statistically significant mean albedo reductions as large as 0.08 over the southern ice sheet and ice sheet periphery. Albedo remained unchanged over the interior dry-snow region. MODIS period data reveal additional reductions, with albedo decreasing more than 0.08 along the ice sheet margins during the early melt season (i.e., April 1- June 31). Investigation of albedo-temperature correlation yields statistically significant values at the 99% level as great as -0.8 along ice sheet margins, where melting strongly influences albedo. NASA grant NNG04GH70G Ohio State University Undergraduate Honor’s Research Scholarship
author2 Box, Jason
format Thesis
author Veenhuis, Bruce
author_facet Veenhuis, Bruce
author_sort Veenhuis, Bruce
title Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
title_short Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
title_full Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
title_fullStr Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
title_full_unstemmed Variability in surface reflectance of the Greenland ice sheet (1982-2005) using satellite remote sensing
title_sort variability in surface reflectance of the greenland ice sheet (1982-2005) using satellite remote sensing
publisher The Ohio State University
publishDate 2006
url http://hdl.handle.net/1811/6544
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation The Ohio State University. Department of Geography Sciences Honors Theses; 2006
http://hdl.handle.net/1811/6544
op_rights Attribution-NoDerivs 2.5 Generic
http://creativecommons.org/licenses/by-nd/2.5/
op_rightsnorm CC-BY-ND
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