Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands

Water bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 104 m2, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried. This study aimed to identify common characteristics of three Arctic...

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Main Authors: Julia Boike, Anna Abnizova, Birgit Heim, Sina Muster
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/4/1498
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spelling doaj-b2736729e14940a3a6af293b84e7fcb12020-11-24T22:24:43ZengMDPI AGRemote Sensing2072-42922013-03-01541498152310.3390/rs5041498Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra WetlandsJulia BoikeAnna AbnizovaBirgit HeimSina MusterWater bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 104 m2, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried. This study aimed to identify common characteristics of three Arctic wetlands including water body size and abundance for different spatial resolutions, and the potential of Landsat-5 TM satellite data to show the subpixel fraction of water cover (SWC) via the surface albedo. Water bodies were mapped using optical and radar satellite data with resolutions of 4mor better, Landsat-5 TM at 30mand the MODIS water mask (MOD44W) at 250m resolution. Study sites showed similar properties regarding water body distributions and scaling issues. Abundance-size distributions showed a curved pattern on a log-log scale with a flattened lower tail and an upper tail that appeared Paretian. Ponds represented 95% of the total water body number. Total number of water bodies decreased with coarser spatial resolutions. However, clusters of small water bodies were merged into single larger water bodies leading to local overestimation of water surface area. To assess the uncertainty of coarse-scale products, both surface water fraction and the water body size distribution should therefore be considered. Using Landsat surface albedo to estimate SWC across different terrain types including polygonal terrain and drained thermokarst basins proved to be a robust approach. However, the albedo–SWC relationship is site specific and needs to be tested in other Arctic regions. These findings present a baseline to better represent small water bodies of Arctic wet tundra environments in regional as well as global ecosystem and climate models.http://www.mdpi.com/2072-4292/5/4/1498remote sensingscalingsurface hydrologypermafrostpondsalbedosubpixel mapping
collection DOAJ
language English
format Article
sources DOAJ
author Julia Boike
Anna Abnizova
Birgit Heim
Sina Muster
spellingShingle Julia Boike
Anna Abnizova
Birgit Heim
Sina Muster
Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
Remote Sensing
remote sensing
scaling
surface hydrology
permafrost
ponds
albedo
subpixel mapping
author_facet Julia Boike
Anna Abnizova
Birgit Heim
Sina Muster
author_sort Julia Boike
title Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
title_short Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
title_full Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
title_fullStr Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
title_full_unstemmed Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
title_sort water body distributions across scales: a remote sensing based comparison of three arctic tundra wetlands
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-03-01
description Water bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 104 m2, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried. This study aimed to identify common characteristics of three Arctic wetlands including water body size and abundance for different spatial resolutions, and the potential of Landsat-5 TM satellite data to show the subpixel fraction of water cover (SWC) via the surface albedo. Water bodies were mapped using optical and radar satellite data with resolutions of 4mor better, Landsat-5 TM at 30mand the MODIS water mask (MOD44W) at 250m resolution. Study sites showed similar properties regarding water body distributions and scaling issues. Abundance-size distributions showed a curved pattern on a log-log scale with a flattened lower tail and an upper tail that appeared Paretian. Ponds represented 95% of the total water body number. Total number of water bodies decreased with coarser spatial resolutions. However, clusters of small water bodies were merged into single larger water bodies leading to local overestimation of water surface area. To assess the uncertainty of coarse-scale products, both surface water fraction and the water body size distribution should therefore be considered. Using Landsat surface albedo to estimate SWC across different terrain types including polygonal terrain and drained thermokarst basins proved to be a robust approach. However, the albedo–SWC relationship is site specific and needs to be tested in other Arctic regions. These findings present a baseline to better represent small water bodies of Arctic wet tundra environments in regional as well as global ecosystem and climate models.
topic remote sensing
scaling
surface hydrology
permafrost
ponds
albedo
subpixel mapping
url http://www.mdpi.com/2072-4292/5/4/1498
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