New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script

Omran, Adel; Schröder, Dietrich; Abouelmagd, Abdou; Maerker, Michael

doi:10.1016/j.cageo.2016.06.012

Cited by 25 publications

(17 citation statements)

References 28 publications

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“…Such difference can be attributed to two reasons: (1) the effect of the threshold value being used for stream extraction and separation from the DEM file; and (2) elimination of the human errors that usually occur in analyzing hydrographic basins that were extracted from topographic maps. Notably, the high evaluation percentage reflects an optimum threshold value to define the channel network throughout the study area (Omran et al 2016).…”

Section: Resultsmentioning

confidence: 98%

“…A hazard map, based on a morphometric analysis and geomorphological parameter calculations, showed the potentiality of flash floods. For this analysis, a GIS model for creating the stream flow based on Digital Elevation Model (DEM) was used (Omran et al 2016). In the following step, a hydrological model was applied to calculate surface runoff and the discharge volume of flash flood water.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt

et al. 2020

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Floods are considered one of the most severe natural disasters worldwide. They impact vast areas, particularly in arid/semiarid regions, causing serious damages with thousands of human casualties and billions of Euros in economic losses. This study contributes to a comprehensive evaluation of flash flooding occurrences, impacts, and possible mitigation. In this study, The Dahab region in southern Egypt's Sinai Peninsula was selected for flash flooding vulnerability assessment. Although located in an arid region, it suffers from frequent and severe flash floods. Here, a straightforward workflow was applied to simulate the impact of flash flooding and assess the vulnerability of the Dahab area via consideration of a maximum storm event as a worst-case scenario. Originally, morphometric analysis was performed to determine the most hazardous subbasins susceptible to flash flooding. The highest recorded storm event in the region was selected to calculate the maximum volume of surface runoff for the model simulation. Then, the hydrologic model and River Analysis System (HEC-RAS) software were used to calculate the inundation level across the entire city of Dahab. Despite some data limitations, this study shows clearly that the Dahab area would have problems incurring from flash flooding if no mitigation measures were to be considered. Results indicate that the area of Dahab is greatly vulnerable to flash flooding with approximately 72% of the total infrastructure being negatively impacted in the worst-case scenario. The adopted approach used in this study can be applied efficiently in similar regions in the Sinai Peninsula or elsewhere.

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt

et al. 2020

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“…Important during this step is the choice of the threshold drainage area. This is the minimum drainage area required to form the "origin" of a stream and it determines the degree of detail of the delineation [61]. In addition, it affects the spatial resolution of the input data.…”

Section: Soil and Water Assessment Toolmentioning

confidence: 99%

Using the Soil and Water Assessment Tool to Simulate the Pesticide Dynamics in the Data Scarce Guayas River Basin, Ecuador

Cambien

Gobeyn

Nolivos

et al. 2020

Water

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Agricultural intensification has stimulated the economy in the Guayas River basin in Ecuador, but also affected several ecosystems. The increased use of pesticides poses a serious threat to the freshwater ecosystem, which urgently calls for an improved knowledge about the impact of pesticide practices in this study area. Several studies have shown that models can be appropriate tools to simulate pesticide dynamics in order to obtain this knowledge. This study tested the suitability of the Soil and Water Assessment Tool (SWAT) to simulate the dynamics of two different pesticides in the data scarce Guayas River basin. First, we set up, calibrated and validated the model using the streamflow data. Subsequently, we set up the model for the simulation of the selected pesticides (i.e., pendimethalin and fenpropimorph). While the hydrology was represented soundly by the model considering the data scare conditions, the simulation of the pesticides should be taken with care due to uncertainties behind essential drivers, e.g., application rates. Among the insights obtained from the pesticide simulations are the identification of critical zones for prioritisation, the dominant areas of pesticide sources and the impact of the different land uses. SWAT has been evaluated to be a suitable tool to investigate the impact of pesticide use under data scarcity in the Guayas River basin. The strengths of SWAT are its semi-distributed structure, availability of extensive online documentation, internal pesticide databases and user support while the limitations are high data requirements, time-intensive model development and challenging streamflow calibration. The results can also be helpful to design future water quality monitoring strategies. However, for future studies, we highly recommend extended monitoring of pesticide concentrations and sediment loads. Moreover, to substantially improve the model performance, the availability of better input data is needed such as higher resolution soil maps, more accurate pesticide application rate and actual land management programs. Provided that key suggestions for further improvement are considered, the model is valuable for applications in river ecosystem management of the Guayas River basin.

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“…where CAT is the comparable area threshold that needs to be estimated; LRD is the lower-resolution DEM (test DEM); HRD is the higher-resolution DEM (reference DEM); and OAT is the original area threshold based on which the channel network/orders were extracted. Finally, we generated the channel segment links with unique identifications by using the most common [34] stream order designation method (i.e., the Strahler method [97], modified from Horton 1945 [98]), which was applied to delineate the order of stream segments in the network. The channel order is in direct proportion to the channel size, watershed dimension, and discharge of water and sediments [97].…”

Section: Extraction Of the Channel Network/ordersmentioning

confidence: 99%

“…Extracting channel networks from DEMs is mandatory in various hydrological [33] and geomorphological [32] studies. In fact, a drainage system's evolution over time is profoundly affected by different variables, such as geomorphology, geologic units, soil, tectonics, landscape topography, and land cover [34]. The detailed morphometric analysis of a channel network and its watershed can help to characterize the impact of channel morphometry on the landforms [35].…”

Section: Introductionmentioning

confidence: 99%

Pixel-Based Geometric Assessment of Channel Networks/Orders Derived from Global Spaceborne Digital Elevation Models

et al. 2019

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Digital Elevation Models (DEMs) contribute to geomorphological and hydrological applications. DEMs can be derived using different remote sensing-based datasets, such as Interferometric Synthetic Aperture Radar (InSAR) (e.g., Advanced Land Observing Satellite (ALOS) Phased Array type L-band SAR (PALSAR) and Shuttle Radar Topography Mission (SRTM) DEMs). In addition, there is also the Digital Surface Model (DSM) derived from optical tri-stereo ALOS Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) imagery. In this study, we evaluated satellite-based DEMs, SRTM (Global) GL1 DEM V003 28.5 m, ALOS DSM 28.5 m, and PALSAR DEMs 12.5 m and 28.5 m, and their derived channel networks/orders. We carried out these assessments using Light Detection and Ranging (LiDAR) Digital Surface Models (DSMs) and Digital Terrain Models (DTMs) and their derived channel networks and Strahler orders as reference datasets at comparable spatial resolutions. We introduced a pixel-based method for the quantitative horizontal evaluation of the channel networks and Strahler orders derived from global DEMs utilizing confusion matrices at different flow accumulation area thresholds (ATs) and pixel buffer tolerance values (PBTVs) in both ±X and ±Y directions. A new Python toolbox for ArcGIS was developed to automate the introduced method. A set of evaluation metrics—(i) producer accuracy (PA), (ii) user accuracy (UA), (iii) F-score (F), and (iv) Cohen’s kappa index (KI)—were computed to evaluate the accuracy of the horizontal matching between channel networks/orders extracted from global DEMs and those derived from LiDAR DTMs and DSMs. PALSAR DEM 12.5 m ranked first among the other global DEMs with the lowest root mean square error (RMSE) and mean difference (MD) values of 4.57 m and 0.78 m, respectively, when compared to the LiDAR DTM 12.5 m. The ALOS DSM 28.5 m had the highest vertical accuracy with the lowest recorded RMSE and MD values of 4.01 m and –0.29 m, respectively, when compared to the LiDAR DSM 28.5 m. PALSAR DEM 12.5 m and ALOS DSM 28.5 m-derived channel networks/orders yielded the highest horizontal accuracy when compared to those delineated from LiDAR DTM 12.5 m and LiDAR DSM 28.5 m, respectively. The number of unmatched channels decreased when the PBTV increased from 0 to 3 pixels using different ATs.

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New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script

Cited by 25 publications

References 28 publications

Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt

Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt

Using the Soil and Water Assessment Tool to Simulate the Pesticide Dynamics in the Data Scarce Guayas River Basin, Ecuador

Pixel-Based Geometric Assessment of Channel Networks/Orders Derived from Global Spaceborne Digital Elevation Models

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