Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series

River deltas belong to the most densely settled places on earth. Although they only account for 5% of the global land surface, over 550 million people live in deltas. These preferred livelihood locations, which feature flat terrain, fertile alluvial soils, access to fluvial and marine resources, a r...

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Published in:Remote Sensing
Main Authors: Kuenzer, Claudia, Klein, Igor, Ullmann, Tobias, Georgiou, Efi Foufoula, Baumhauer, Roland, Dech, Stefan
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/15155
https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-151552
https://doi.org/10.3390/rs70708516
https://opus.bibliothek.uni-wuerzburg.de/files/15155/020_Kuenzer_REMOTE-SENSING.pdf
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spelling ftunivwuerz:oai:opus.bibliothek.uni-wuerzburg.de:15155 2023-09-05T13:21:00+02:00 Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series Kuenzer, Claudia Klein, Igor Ullmann, Tobias Georgiou, Efi Foufoula Baumhauer, Roland Dech, Stefan 2015 application/pdf https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/15155 https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-151552 https://doi.org/10.3390/rs70708516 https://opus.bibliothek.uni-wuerzburg.de/files/15155/020_Kuenzer_REMOTE-SENSING.pdf eng eng https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/15155 urn:nbn:de:bvb:20-opus-151552 https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-151552 https://doi.org/10.3390/rs70708516 https://opus.bibliothek.uni-wuerzburg.de/files/15155/020_Kuenzer_REMOTE-SENSING.pdf https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess ddc:526 article doc-type:article 2015 ftunivwuerz https://doi.org/10.3390/rs70708516 2023-08-13T22:33:35Z River deltas belong to the most densely settled places on earth. Although they only account for 5% of the global land surface, over 550 million people live in deltas. These preferred livelihood locations, which feature flat terrain, fertile alluvial soils, access to fluvial and marine resources, a rich wetland biodiversity and other advantages are, however, threatened by numerous internal and external processes. Socio-economic development, urbanization, climate change induced sea level rise, as well as flood pulse changes due to upstream water diversion all lead to changes in these highly dynamic systems. A thorough understanding of a river delta's general setting and intra-annual as well as long-term dynamic is therefore crucial for an informed management of natural resources. Here, remote sensing can play a key role in analyzing and monitoring these vast areas at a global scale. The goal of this study is to demonstrate the potential of intra-annual time series analyses at dense temporal, but coarse spatial resolution for inundation characterization in five river deltas located in four different countries. Based on 250 m MODIS reflectance data we analyze inundation dynamics in four densely populated Asian river deltas-namely the Yellow River Delta (China), the Mekong Delta (Vietnam), the Irrawaddy Delta (Myanmar), and the Ganges-Brahmaputra (Bangladesh, India)-as well as one very contrasting delta: the nearly uninhabited polar Mackenzie Delta Region in northwestern Canada for the complete time span of one year (2013). A complex processing chain of water surface derivation on a daily basis allows the generation of intra-annual time series, which indicate inundation duration in each of the deltas. Our analyses depict distinct inundation patterns within each of the deltas, which can be attributed to processes such as overland flooding, irrigation agriculture, aquaculture, or snowmelt and thermokarst processes. Clear differences between mid-latitude, subtropical, and polar deltas are illustrated, and the advantages ... Article in Journal/Newspaper Mackenzie Delta Thermokarst Würzburg University: Online Publication Service Canada Remote Sensing 7 7 8516 8542
institution Open Polar
collection Würzburg University: Online Publication Service
op_collection_id ftunivwuerz
language English
topic ddc:526
spellingShingle ddc:526
Kuenzer, Claudia
Klein, Igor
Ullmann, Tobias
Georgiou, Efi Foufoula
Baumhauer, Roland
Dech, Stefan
Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
topic_facet ddc:526
description River deltas belong to the most densely settled places on earth. Although they only account for 5% of the global land surface, over 550 million people live in deltas. These preferred livelihood locations, which feature flat terrain, fertile alluvial soils, access to fluvial and marine resources, a rich wetland biodiversity and other advantages are, however, threatened by numerous internal and external processes. Socio-economic development, urbanization, climate change induced sea level rise, as well as flood pulse changes due to upstream water diversion all lead to changes in these highly dynamic systems. A thorough understanding of a river delta's general setting and intra-annual as well as long-term dynamic is therefore crucial for an informed management of natural resources. Here, remote sensing can play a key role in analyzing and monitoring these vast areas at a global scale. The goal of this study is to demonstrate the potential of intra-annual time series analyses at dense temporal, but coarse spatial resolution for inundation characterization in five river deltas located in four different countries. Based on 250 m MODIS reflectance data we analyze inundation dynamics in four densely populated Asian river deltas-namely the Yellow River Delta (China), the Mekong Delta (Vietnam), the Irrawaddy Delta (Myanmar), and the Ganges-Brahmaputra (Bangladesh, India)-as well as one very contrasting delta: the nearly uninhabited polar Mackenzie Delta Region in northwestern Canada for the complete time span of one year (2013). A complex processing chain of water surface derivation on a daily basis allows the generation of intra-annual time series, which indicate inundation duration in each of the deltas. Our analyses depict distinct inundation patterns within each of the deltas, which can be attributed to processes such as overland flooding, irrigation agriculture, aquaculture, or snowmelt and thermokarst processes. Clear differences between mid-latitude, subtropical, and polar deltas are illustrated, and the advantages ...
format Article in Journal/Newspaper
author Kuenzer, Claudia
Klein, Igor
Ullmann, Tobias
Georgiou, Efi Foufoula
Baumhauer, Roland
Dech, Stefan
author_facet Kuenzer, Claudia
Klein, Igor
Ullmann, Tobias
Georgiou, Efi Foufoula
Baumhauer, Roland
Dech, Stefan
author_sort Kuenzer, Claudia
title Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title_short Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title_full Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title_fullStr Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title_full_unstemmed Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title_sort remote sensing of river delta inundation: exploiting the potential of coarse spatial resolution, temporally-dense modis time series
publishDate 2015
url https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/15155
https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-151552
https://doi.org/10.3390/rs70708516
https://opus.bibliothek.uni-wuerzburg.de/files/15155/020_Kuenzer_REMOTE-SENSING.pdf
geographic Canada
geographic_facet Canada
genre Mackenzie Delta
Thermokarst
genre_facet Mackenzie Delta
Thermokarst
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https://opus.bibliothek.uni-wuerzburg.de/files/15155/020_Kuenzer_REMOTE-SENSING.pdf
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container_title Remote Sensing
container_volume 7
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