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: Claudia Kuenzer, Igor Klein, Tobias Ullmann, Efi Georgiou, Roland Baumhauer, Stefan Dech
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2015
Subjects:
Online Access:https://doi.org/10.3390/rs70708516
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author Claudia Kuenzer
Igor Klein
Tobias Ullmann
Efi Georgiou
Roland Baumhauer
Stefan Dech
author_facet Claudia Kuenzer
Igor Klein
Tobias Ullmann
Efi Georgiou
Roland Baumhauer
Stefan Dech
author_sort Claudia Kuenzer
collection MDPI Open Access Publishing
container_issue 7
container_start_page 8516
container_title Remote Sensing
container_volume 7
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 ...
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spelling ftmdpi:oai:mdpi.com:/2072-4292/7/7/8516/ 2025-01-16T23:01:44+00:00 Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series Claudia Kuenzer Igor Klein Tobias Ullmann Efi Georgiou Roland Baumhauer Stefan Dech agris 2015-07-06 application/pdf https://doi.org/10.3390/rs70708516 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs70708516 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 7; Issue 7; Pages: 8516-8542 remote sensing river deltas inundation flooding MODIS Yellow River Delta Mekong Delta Irrawaddy Delta Ganges-Brahmaputra Delta Mackenzie Delta Text 2015 ftmdpi https://doi.org/10.3390/rs70708516 2023-07-31T20:44:49Z 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 ... Text Mackenzie Delta Thermokarst MDPI Open Access Publishing Canada Remote Sensing 7 7 8516 8542
spellingShingle remote sensing
river deltas
inundation
flooding
MODIS
Yellow River Delta
Mekong Delta
Irrawaddy Delta
Ganges-Brahmaputra Delta
Mackenzie Delta
Claudia Kuenzer
Igor Klein
Tobias Ullmann
Efi Georgiou
Roland Baumhauer
Stefan Dech
Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
title 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_short 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
topic remote sensing
river deltas
inundation
flooding
MODIS
Yellow River Delta
Mekong Delta
Irrawaddy Delta
Ganges-Brahmaputra Delta
Mackenzie Delta
topic_facet remote sensing
river deltas
inundation
flooding
MODIS
Yellow River Delta
Mekong Delta
Irrawaddy Delta
Ganges-Brahmaputra Delta
Mackenzie Delta
url https://doi.org/10.3390/rs70708516