author_facet Kim, E. J.
England, A. W.
Kim, E. J.
England, A. W.
author Kim, E. J.
England, A. W.
spellingShingle Kim, E. J.
England, A. W.
Journal of Geophysical Research: Atmospheres
A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
Paleontology
Space and Planetary Science
Earth and Planetary Sciences (miscellaneous)
Atmospheric Science
Earth-Surface Processes
Geochemistry and Petrology
Soil Science
Water Science and Technology
Ecology
Aquatic Science
Forestry
Oceanography
Geophysics
author_sort kim, e. j.
spelling Kim, E. J. England, A. W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2002jd002393 <jats:p>Subpixel heterogeneity remains a key issue in the estimation of land parameters using satellite passive microwave sensors; the scales of spatial variability on land are typically much smaller than sensor footprints (tens of km). Disaggregation is a necessary component of any successful assimilation or retrieval scheme attempting to exploit satellite passive microwave observations to estimate parameters at the local scale. This paper quantifies the similarity between ground‐based brightness and satellite brightness observations at 19 and 37 GHz for Arctic tundra on the North Slope of Alaska, identifying and quantifying sources of the differences. To the extent that this very homogeneous area represents a limiting case, the impact of subpixel heterogeneity in less homogeneous areas may be gauged. The ground‐based radiobrightness observations were collected during the Radiobrightness Energy Balance Experiment 3 (REBEX‐3) conducted on the North Slope in 1994–1995. A comparison was made of 381 days of brightness observations from a tower‐mounted Special Sensor Microwave Imager (SSM/I) simulator representing the full range of annual conditions with coincident satellite SSM/I observations. Issues such as instrument stability, the effects of atmospheric radiative transfer, and consistency of satellite pixel locations are considered. Linear correlations between tower‐based and SSM/I brightness observations of 0.93, 0.94, 0.93, and 0.92 were observed for the 19V, 19H, 37V, and 37H channels, respectively. Footprint sizes were 2 × 4 m for the tower‐based observations and 43 × 69 km for the resampled SSM/I observations. Atmospheric, topographic, and time‐of‐observation effects can account for the differences between the best fit lines and the 1:1 lines, with calibration errors accounting for the residual differences.</jats:p> A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope Journal of Geophysical Research: Atmospheres
doi_str_mv 10.1029/2002jd002393
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Technik
Geologie und Paläontologie
Geographie
Chemie und Pharmazie
Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft
Biologie
Allgemeine Naturwissenschaft
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title A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_unstemmed A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_full A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_fullStr A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_full_unstemmed A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_short A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_sort a yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 ghz brightness of the alaskan north slope
topic Paleontology
Space and Planetary Science
Earth and Planetary Sciences (miscellaneous)
Atmospheric Science
Earth-Surface Processes
Geochemistry and Petrology
Soil Science
Water Science and Technology
Ecology
Aquatic Science
Forestry
Oceanography
Geophysics
url http://dx.doi.org/10.1029/2002jd002393
publishDate 2003
physical
description <jats:p>Subpixel heterogeneity remains a key issue in the estimation of land parameters using satellite passive microwave sensors; the scales of spatial variability on land are typically much smaller than sensor footprints (tens of km). Disaggregation is a necessary component of any successful assimilation or retrieval scheme attempting to exploit satellite passive microwave observations to estimate parameters at the local scale. This paper quantifies the similarity between ground‐based brightness and satellite brightness observations at 19 and 37 GHz for Arctic tundra on the North Slope of Alaska, identifying and quantifying sources of the differences. To the extent that this very homogeneous area represents a limiting case, the impact of subpixel heterogeneity in less homogeneous areas may be gauged. The ground‐based radiobrightness observations were collected during the Radiobrightness Energy Balance Experiment 3 (REBEX‐3) conducted on the North Slope in 1994–1995. A comparison was made of 381 days of brightness observations from a tower‐mounted Special Sensor Microwave Imager (SSM/I) simulator representing the full range of annual conditions with coincident satellite SSM/I observations. Issues such as instrument stability, the effects of atmospheric radiative transfer, and consistency of satellite pixel locations are considered. Linear correlations between tower‐based and SSM/I brightness observations of 0.93, 0.94, 0.93, and 0.92 were observed for the 19V, 19H, 37V, and 37H channels, respectively. Footprint sizes were 2 × 4 m for the tower‐based observations and 43 × 69 km for the resampled SSM/I observations. Atmospheric, topographic, and time‐of‐observation effects can account for the differences between the best fit lines and the 1:1 lines, with calibration errors accounting for the residual differences.</jats:p>
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author Kim, E. J., England, A. W.
author_facet Kim, E. J., England, A. W., Kim, E. J., England, A. W.
author_sort kim, e. j.
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description <jats:p>Subpixel heterogeneity remains a key issue in the estimation of land parameters using satellite passive microwave sensors; the scales of spatial variability on land are typically much smaller than sensor footprints (tens of km). Disaggregation is a necessary component of any successful assimilation or retrieval scheme attempting to exploit satellite passive microwave observations to estimate parameters at the local scale. This paper quantifies the similarity between ground‐based brightness and satellite brightness observations at 19 and 37 GHz for Arctic tundra on the North Slope of Alaska, identifying and quantifying sources of the differences. To the extent that this very homogeneous area represents a limiting case, the impact of subpixel heterogeneity in less homogeneous areas may be gauged. The ground‐based radiobrightness observations were collected during the Radiobrightness Energy Balance Experiment 3 (REBEX‐3) conducted on the North Slope in 1994–1995. A comparison was made of 381 days of brightness observations from a tower‐mounted Special Sensor Microwave Imager (SSM/I) simulator representing the full range of annual conditions with coincident satellite SSM/I observations. Issues such as instrument stability, the effects of atmospheric radiative transfer, and consistency of satellite pixel locations are considered. Linear correlations between tower‐based and SSM/I brightness observations of 0.93, 0.94, 0.93, and 0.92 were observed for the 19V, 19H, 37V, and 37H channels, respectively. Footprint sizes were 2 × 4 m for the tower‐based observations and 43 × 69 km for the resampled SSM/I observations. Atmospheric, topographic, and time‐of‐observation effects can account for the differences between the best fit lines and the 1:1 lines, with calibration errors accounting for the residual differences.</jats:p>
doi_str_mv 10.1029/2002jd002393
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spelling Kim, E. J. England, A. W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2002jd002393 <jats:p>Subpixel heterogeneity remains a key issue in the estimation of land parameters using satellite passive microwave sensors; the scales of spatial variability on land are typically much smaller than sensor footprints (tens of km). Disaggregation is a necessary component of any successful assimilation or retrieval scheme attempting to exploit satellite passive microwave observations to estimate parameters at the local scale. This paper quantifies the similarity between ground‐based brightness and satellite brightness observations at 19 and 37 GHz for Arctic tundra on the North Slope of Alaska, identifying and quantifying sources of the differences. To the extent that this very homogeneous area represents a limiting case, the impact of subpixel heterogeneity in less homogeneous areas may be gauged. The ground‐based radiobrightness observations were collected during the Radiobrightness Energy Balance Experiment 3 (REBEX‐3) conducted on the North Slope in 1994–1995. A comparison was made of 381 days of brightness observations from a tower‐mounted Special Sensor Microwave Imager (SSM/I) simulator representing the full range of annual conditions with coincident satellite SSM/I observations. Issues such as instrument stability, the effects of atmospheric radiative transfer, and consistency of satellite pixel locations are considered. Linear correlations between tower‐based and SSM/I brightness observations of 0.93, 0.94, 0.93, and 0.92 were observed for the 19V, 19H, 37V, and 37H channels, respectively. Footprint sizes were 2 × 4 m for the tower‐based observations and 43 × 69 km for the resampled SSM/I observations. Atmospheric, topographic, and time‐of‐observation effects can account for the differences between the best fit lines and the 1:1 lines, with calibration errors accounting for the residual differences.</jats:p> A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope Journal of Geophysical Research: Atmospheres
spellingShingle Kim, E. J., England, A. W., Journal of Geophysical Research: Atmospheres, A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics
title A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_full A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_fullStr A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_full_unstemmed A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_short A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
title_sort a yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 ghz brightness of the alaskan north slope
title_unstemmed A yearlong comparison of plot‐scale and satellite footprint‐scale 19 and 37 GHz brightness of the Alaskan North Slope
topic Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics
url http://dx.doi.org/10.1029/2002jd002393