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FwDET

Calculates floodwater depths using a digital elevation model and a flood extent polygon.
https://github.com/csdms-contrib/fwdet

Category: Climate Change
Sub Category: Natural Hazard and Storm

Last synced: about 20 hours ago
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Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model:FwDET

README.md

Floodwater Depth Estimation Tool (FwDET)

Calculates floodwater depths using a digital elevation model (DEM) and a flood extent polygon

screen capture

Updates:

2023-10-20

Implemented in QGIS as a processing script

2022-08-24

Implemented in:

  • = ArcGis 10.5

  • ArcGis Pro
  • Google Earth Engine

Description

Within this repository resides the three versions of
FwDET. Version 1, featured in Estimating Floodwater Depths from Flood
Inundation Maps and Topography [Cohen et al. 2018], best works in
inland riverine regions and has been implemented using both Arcpy and
QGIS. Version 2, features an improved algorithm which better solves
coastal flooding as well as fluvial [Cohen et al. 2019]. Version 2 implements a much
different approach that is considerably more computationally
efficient, drastically reducing run time compared to version 1 of the
tool. Version 2.1 introduces a boundary cell smoothing and filtering procedure which
improves the tool's accuracy [Cohen et al. 2022].

Installation

ArcMap/Pro Toolbox

  1. Clone this repository or download the
    toolbox file.
  2. Open ArcMap/Pro and navigate using the catalog to the directory
    containing FwDET_ArcGISPro.tbx.
  3. Expand the toolbox and double click on the tool version you wish to
    use.

QGIS

see qgis/README.md

Development

NOTE: project uses git lfs

Related Publications:

Cohen et al. 2022, Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections. Remote Sensing

Peter et al. 2020, Google Earth Engine
Implementation of the Floodwater Depth Estimation Tool (FwDET-GEE) for Rapid and Large Scale Flood Analysis.
IEEE Geoscience and Remote Sensing Letters.

Cohen et al. 2019, The
Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote
Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences, 19, 2053–2065.

Cohen et al. 2017, Estimating Floodwater Depths from Flood
Inundation Maps and Topography, Journal of the American Water
Resources Association
, 54 (4), 847–858.

Contacts:

Sagy Cohen

Other resources:

SDML Website

FwDET CSDMS Tool Repo Description


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GitHub Events

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Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 48
Total Committers: 4
Avg Commits per committer: 12.0
Development Distribution Score (DDS): 0.542

Commits in past year: 22
Committers in past year: 1
Avg Commits per committer in past year: 22.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
cefect c****t@g****m 22
sagycohen s****n@u****u 15
Austin Raney a****y@c****u 10
Albert a****r@g****m 1

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Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 15
Total pull requests: 11
Average time to close issues: 5 months
Average time to close pull requests: about 2 months
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 5.73
Average comments per pull request: 0.45
Merged pull request: 10
Bot issues: 0
Bot pull requests: 0

Past year issues: 9
Past year pull requests: 1
Past year average time to close issues: 3 days
Past year average time to close pull requests: less than a minute
Past year issue authors: 2
Past year pull request authors: 1
Past year average comments per issue: 8.44
Past year average comments per pull request: 0.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/csdms-contrib/fwdet

Top Issue Authors

  • jeremyEudaric (9)
  • cefect (3)
  • kedeng14 (1)
  • WeatherGod (1)
  • roescob (1)

Top Pull Request Authors

  • aaraney (5)
  • cefect (3)
  • sagycohen (3)

Top Issue Labels

Top Pull Request Labels

  • enhancement (1)

Score: 5.6204008657171505