Interfacing the geographic information system, remote sensing, and the soil conservation service–curve number method to estimate curve number and runoff volume in the Asir region of Saudi Arabia

Ho Chi Minh City (HCMC) is among the cities that are most at risk of fl ooding worldwide. Urbanization processes have led to a change in land use, which in turn has resulted in an increase in impervious surfaces and runoff , thus again leading to the risk of fl ooding in the city. The aim of the article is to study the impact of urban development (on the example of District 8 of HCMC) on surface runoff using a combination of the interpretation of remote sensing images of the earth (ERS) Google Earth and the SCS-CN model (the Soil Conservation Service curve number). Theoretical models are used to analyze the relationship between the typology of buildings and areas of open and impervious surfaces. The interpretation of remote sensing images was carried out in the ArcGIS program. The method used to calculate surface runoff is the Soil Conservation Service Curve Number (SCS-CN) method developed by the US Soil Conservation Service and is suitable for assessing the eff ects of land-use/land cover change due to urbanization. The results of the study show the volume of surface runoff in areas with diff erent levels of urbanization in district 8 of HCMC, assessing the impact of urbanization processes on surface runoff and revealing new opportunities for managing this process. The combination of remote sensing interpretation and SCS-CN model makes it possible to assess the impact of urban development on surface runoff . Urbanization and an increase in built-up area strongly aff ect fl ooding, reducing the soil retention.

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Detection, Mapping and Assessment Change in Urban and Croplands Area in Al-Hassa Oasis, Eastern Region in Saudi Arabia Using Remote Sensing and Geographic Information System

Journal of Geographic Information System ◽

10.4236/jgis.2018.106034 ◽

2018 ◽

Vol 10 (06) ◽

pp. 659-685 ◽

Cited By ~ 2

Author(s):

Saeed Alqarni ◽

Abbas Babiker ◽

Abdelrahim Salih

Keyword(s):

Remote Sensing ◽

Information System ◽

Saudi Arabia ◽

Geographic Information System ◽

Geographic Information ◽

Eastern Region

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A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

Remote Sensing ◽

10.3390/rs13091818 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1818

Author(s):

Lisha Ding ◽

Lei Ma ◽

Longguo Li ◽

Chao Liu ◽

Naiwen Li ◽

...

Keyword(s):

Remote Sensing ◽

Information System ◽

Geographic Information System ◽

Flash Flood ◽

Flash Floods ◽

Geographic Information ◽

Flood Disaster ◽

Future Research ◽

Time Zone ◽

Gis Technologies

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.

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