Visualisation of flooding along an unvegetated, ephemeral river using Google Earth Engine: Implications for assessment of channel-floodplain dynamics in a time of rapid environmental change

Li, Jiaguang; Tooth, Stephen; Zhang, Kun; Zhao, Yifei

doi:10.1016/j.jenvman.2020.111559

Cited by 21 publications

(16 citation statements)

References 79 publications

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“…Consequently, numerous cases of building collapse and flood hazards have been recorded within the study area due to unregulated urban sprawl within the riparian corridors. Similar cases of bank erosion, accretion, channel migration, and associated hazards have been studied in detail using very high-resolution satellite images and GIS 30 , 54 – 56 .…”

Section: Discussionmentioning

confidence: 99%

An integrated assessment of land use impact, riparian vegetation and lithologic variation on streambank stability in a peri-urban watershed (Nigeria)

Okeke

Uno

Academe

et al. 2022

Sci Rep

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Bank erosion is an important source of sediment and phosphorus to inland fluvial systems and is generally responsible for more than half of the total watershed sediment export. Numerous studies have quantified bank erosion and the spatio-temporal variation of sediment flux in different watersheds. However, there is sparse research to date on the linkages between bank erosion/accretion and sediment export under different land uses, especially in rapidly evolving peri-urban watersheds. This research, therefore, integrated remote sensing techniques and repeated field survey of erosion pin plots to quantify bank erosion and sediment flux in the 80 km2 Nkisi River watershed (NRW), southeast Nigeria, over a three-year period. The impact of land use change on streambank erosion was evaluated by utilising remotely sensed Landsat datasets of 2003, 2010, 2016 and 2019. Geotechnical tests were used to characterise the lithologic properties of the banks, while the Bank Stability and Toe Erosion Model (BSTEM) was used to determine the stability of the banks under various hydrological conditions and mechanical properties of the riparian vegetation. Mean bank recession rates increased from 10.7 cm during the 2017–2018 monitoring period to 17.5 cm for the 2019–2020 monitoring period. The percentage of total watershed export ascribed to bank erosion in the three stream reaches varied from 6.6 to 44.9%. The high rates of bank erosion and accretion within the NRW were attributed to rapid changes in land use, which evolved from grassland and woodland to cropland, built-up and bare land. The BSTEM accurately predicted the high erosion rates of the streambanks and showed that riparian vegetation has a mechanical effect on bank stability. However, the mechanical effect diminishes as the depth to water table rises during high streamflow events.

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Section: Discussionmentioning

confidence: 99%

An integrated assessment of land use impact, riparian vegetation and lithologic variation on streambank stability in a peri-urban watershed (Nigeria)

Okeke

Uno

Academe

et al. 2022

Sci Rep

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“…A Modified Normalised Difference Water Index (MNDWI) was used to enhance the identification of surface water (Eq. 1; Xu 2007;Du et al 2016;Li et al 2018Li et al , 2021.…”

Section: Surface Water Coveragementioning

confidence: 99%

Soil properties across a hydrological gradient in saladas from northeast Spain: what are the implications for soil carbon stocks, CO2 efflux and microbial communities in a warming world?

Thomas

Tooth

Lan

et al. 2022

Wetlands Ecol Manage

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Numerous permanent and temporary wetlands occur throughout the world’s drylands. Although characterised by diverse water inundation frequencies, durations and depths, these wetlands in drylands are typically hotspots of biological activity and productivity. The healthy functioning and even existence of many wetlands in drylands, however, is threatened by desiccation resulting from a combination of climate change and human disturbance. Near Alcañiz in arid northeast Spain, three adjacent saladas (playas) with contrasting hydroperiods provide an opportunity to investigate how moisture availability affects their soil carbon (C) stocks, CO2 efflux, and microbial communities. Predicting the impacts of changes in moisture availability on the C cycle in wetlands in drylands is challenging but important because many contain large C stocks and may be significant sources and sinks of greenhouse gases. Frequent inundation and/or near-permanent soil water saturation supports the generation of organic C from a range of different sources. Soil inorganic C was greatest on the driest salada (3.8%) compared to the wetter saladas (3.0% and 2.1%) owing to evaporative concentration and the reaction of CO2 with available Ca2+, Mg2+ and Na+ ions. CO2 efflux was greatest at intermediate moisture levels (142 mg CO2 m−2 h−1), but the spatial and temporal variability in CO2 efflux on salada surfaces is large, demonstrating the need for intensive sampling regimes to provide realistic estimates of their contribution to atmospheric CO2 exchanges. Different microbial community structures also characterise each salada. The saladas near Alcañiz, and many other similar features in northeast Spain, are renowned for their rare and threatened flora and fauna, yet their soil C cycle characteristics and soil microbial communities provide additional reasons to monitor the impacts of climate change and protect these vulnerable environments from further anthropogenic disturbances.

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“…For this study, monthly open water area recorded before 1984 was extracted based on Landsat Multispectral Scanner (MSS) monthly composite images filtered with cloud cover less than 5% in the catchment boundary. Li, Tooth, et al (2021) concluded that GEE platform also helps to generate accurate flood maps for an ephemeral channel. That is done by combining multiple Landsat images with precipitation data sets and high-resolution satellite imagery, applying the MNDWI index after cloud and shadow removal from the Landsat surface reflectance data.…”

Section: State Of the Artmentioning

confidence: 99%

“…Li, Tooth, et al. (2021) concluded that GEE platform also helps to generate accurate flood maps for an ephemeral channel. That is done by combining multiple Landsat images with precipitation data sets and high‐resolution satellite imagery, applying the MNDWI index after cloud and shadow removal from the Landsat surface reflectance data.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Storage Volume of Water Reservoirs Using Google Earth Engine

Condeça

Nascimento

Barreiras

2022

Water Resources Research

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Recently, the satellite images have been used in remote sensing allowing observations with high temporal and spatial distribution. The use of water indices has proved to be an effective methodology in the monitoring of surface water resources. However, precise or automatic methodologies using satellite imagery to determine reservoir volumes are lacking. To fulfill that gap, this methodology proposes three stages: use Google Earth Engine to select images; automatically calculate flooded surface areas applying water indices; determine the volume stored in reservoirs over those years based on the relation between the flooded area and the stored volume. The method was applied in four reservoirs and contemplate Landsat 4 and 5 ETM and Landsat 8 Operational Land Imager. For the calculation of the flooded area the Normalized Difference Water Index Indexes (Gao, 1996, https://doi.org/10.1016/s0034-4257(96)00067-3; McFeeters, 1996, https://doi.org/10.1080/01431169608948714) and the MNDWI index (Xu, 2006, https://doi.org/10.1080/01431160600589179) were applied and tested. The estimation of stored volume of water was made based on the area indices and a cross‐check between real stored volume and calculated volume was made. Finally, an analysis on the selection of the best‐fit water indices was made. The results of every case studies herein displayed showed a quantifiable proficiency and reliability for quite a varied natural conditions. As a conclusion, this methodology could be seen as a tool for water resources management in developing countries, not only, to measure automatically trends of stored volumes and its relation with the precipitation, and could eventually be extended to other types of surface water bodies, as lakes and coastal lagoons.

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Visualisation of flooding along an unvegetated, ephemeral river using Google Earth Engine: Implications for assessment of channel-floodplain dynamics in a time of rapid environmental change

Cited by 21 publications

References 79 publications

An integrated assessment of land use impact, riparian vegetation and lithologic variation on streambank stability in a peri-urban watershed (Nigeria)

An integrated assessment of land use impact, riparian vegetation and lithologic variation on streambank stability in a peri-urban watershed (Nigeria)

Soil properties across a hydrological gradient in saladas from northeast Spain: what are the implications for soil carbon stocks, CO2 efflux and microbial communities in a warming world?

Monitoring the Storage Volume of Water Reservoirs Using Google Earth Engine

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