scholarly journals Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Richard J. Boothroyd ◽  
Richard D. Williams ◽  
Trevor B. Hoey ◽  
Brian Barrett ◽  
Octria A. Prasojo
Keyword(s):  
Fluvial Geomorphology ◽  
Google Earth ◽  
River Channel ◽  
Channel Change ◽  
Google Earth Engine ◽  
River Channel Change

Hohokam Political Ecology and Vulnerability: Comments on Waters and Ravesloot

2003 ◽  
Vol 68 (1) ◽  
pp. 169-181 ◽  
Author(s):  
Bradley E. Ensor ◽  
Marisa O. Ensor ◽  
Gregory W. De Vries
Keyword(s):  
Political Ecology ◽  
Social Groups ◽  
River Channel ◽  
Cultural Changes ◽  
Anthropological Perspective ◽  
Channel Change ◽  
Channel Changes ◽  
Environmental Processes ◽  
River Channel Change

Waters and Ravesloot (2001) test the assumption that natural river channel change caused periods of Hohokam cultural reorganization. However, they conclude that channel changes did not correlate with all periods and areas of significant cultural changes and that landscape alone cannot explain Hohokam transformations. An anthropological perspective on political ecology and disasters can explain why environmental processes and events differentially impact societies, differentially impact societies diachronically and differentially impact social groups within societies. We suggest that this perspective may explain the variability described by Waters and Ravesloot.

Meandering-anabranching river channel change in response to flow-sediment regulation: Data analysis and model validation

2019 ◽  
Vol 579 ◽  
pp. 124209 ◽  
Author(s):  
Dangwei Wang ◽  
Yuanxu Ma ◽  
Xiaofang Liu ◽  
He Qing Huang ◽  
Li Huang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Model Validation ◽  
River Channel ◽  
Channel Change ◽  
River Channel Change ◽  
Anabranching River

Geostatistical analysis of ground-survey elevation data to elucidate spatial and temporal river channel change

2003 ◽  
Vol 28 (4) ◽  
pp. 349-370 ◽  
Author(s):  
Adrian Chappell ◽  
George L. Heritage ◽  
Ian C. Fuller ◽  
Andrew R. G. Large ◽  
David J. Milan
Keyword(s):  
River Channel ◽  
Geostatistical Analysis ◽  
Channel Change ◽  
Ground Survey ◽  
Elevation Data ◽  
River Channel Change

Identification of river channel change to due to urbanization

1992 ◽  
Vol 12 (4) ◽  
pp. 299-318 ◽  
Author(s):  
K.J. Gregory ◽  
R.J. Davis ◽  
P.W. Downs
Keyword(s):  
River Channel ◽  
Channel Change ◽  
River Channel Change

scholarly journals Recent river channel change detections in the section of the River Tisza above Tiszaújlak (BИЛОК)

2016 ◽  
Vol 10 (3-4) ◽  
pp. 123-130 ◽  
Author(s):  
István Kolozsvári ◽  
József Molnár ◽  
György Dévai
Keyword(s):  
Satellite Images ◽  
Google Earth ◽  
Formation Processes ◽  
Security Risks ◽  
Channel Change ◽  
Side Channels ◽  
Plant Coverage ◽  
Tisza River ◽  
The Right ◽  
River Channel Change

In the section above Tiszaújlak, despite the presence of embankments, the River Tisza shows active meandering tendency and it splits into branches resulting in side channels, dead channels and backwaters that follow the main channel. In our work we examined the right- and the left-side riverbank sections of the River Tisza, between Tiszaújlak (Вилок) and Tiszasásvár (Тросник), as well as between Tiszaújlak and Tiszapéterfalva (Пийтерфолво), to reveal the extent of bar depositions between 2006 and 2015, and to what extent the intensity and direction of the riverbank formation processes were influenced by the material of the bank and the plant coverage, its rate and characteristics. We tried to reveal which sections were eroded by the river and what security risks they have for the safety of the settlements along the Tisza River. On the right side of the Tisza River riverbank 51, and on the left side 62 main measuring points were recorded by GPS positioning satellite in 2009, 2010 and 2015. Our results were compared to the satellite images of Google Earth taken in 2006, too. According to our experience, in several bends of the examined sections of the river, active bar deposition can be observed; in some cases more than 100 m of bar depositions were detected.

National-scale assessment of river migration at critical bridge infrastructure in the Philippines using Google Earth Engine

2021 ◽  
Author(s):  
Richard Boothroyd ◽  
Richard Williams ◽  
Trevor Hoey ◽  
Pamela Tolentino ◽  
Xiao Yang
Keyword(s):  
The Philippines ◽  
Google Earth ◽  
Jaccard Index ◽  
River Channel ◽  
Channel Width ◽  
National Scale ◽  
River Planform ◽  
Google Earth Engine ◽  
River Migration ◽  
Active Channel

<p>River migration represents a geomorphic hazard at sites of critical bridge infrastructure, particularly in rivers where migration rates are high, as in the tropics. In the Philippines, where exposure to flooding and geomorphic risk are considerable, the recent expansion of infrastructural developments warrants quantification of river migration in the vicinity of bridge assets. We analysed publicly available bridge inventory data from the Philippines Department of Public Works and Highways (DPWH) and leveraged freely available satellite imagery in Google Earth Engine (GEE) to assess river migration. Specifically, we extracted active river channel masks of the bankfull extent (including the wetted channel and unvegetated, alluvial deposits) from Landsat products (Landsat 5, 7 and 8) using multi-spectral indices, before identifying river planform adjustments over decadal and engineering (30-year) timescales. For 74 bridges, we calculated similarity coefficients (Jaccard index) to indicate planform (dis)similarity and quantified changes in river channel width using RivWidthCloud.</p><p>Monitoring revealed the diversity of river planform adjustment at bridges in the Philippines (including channel migration, contraction, expansion and avulsion). The mean Jaccard index over decadal (0.65) and engineering (0.50) timescales indicated considerable planform adjustment throughout the national-scale inventory. However, planform adjustment and morphological behaviour varied between bridges. Some inventoried bridges were characterised by substantial planform adjustment and river migration, with maximum active channel contraction and expansion over decadal timescales equal to approximately 25% of the active channel width. This represents considerable lateral adjustment and when left unmanaged could pose a substantial geomorphic hazard. However, for other inventoried bridges the planform remained approximately stable and changes in channel width were limited. We suggest that multi-temporal analysis from satellite remote sensing offers a low-cost approach for monitoring the relative risk of river migration at critical bridge infrastructure; the approach can be extended to include other critical infrastructure adjacent to rivers (e.g., road, rail pipelines) and extended elsewhere to other dynamic riverine settings.</p>

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