Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections
The Floodwater Depth Estimation Tool (FwDET) calculates water depth from a remote sensing-based inundation extent layer and a Digital Elevation Model (DEM). FwDET’s low data requirement and high computational efficiency allow rapid and large-scale calculation of floodwater depth. Local biases in FwD...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/21/5313 |
| _version_ | 1797466607702769664 |
|---|---|
| author | Sagy Cohen Brad G. Peter Arjen Haag Dinuke Munasinghe Nishani Moragoda Anuska Narayanan Sera May |
| author_facet | Sagy Cohen Brad G. Peter Arjen Haag Dinuke Munasinghe Nishani Moragoda Anuska Narayanan Sera May |
| author_sort | Sagy Cohen |
| collection | DOAJ |
| description | The Floodwater Depth Estimation Tool (FwDET) calculates water depth from a remote sensing-based inundation extent layer and a Digital Elevation Model (DEM). FwDET’s low data requirement and high computational efficiency allow rapid and large-scale calculation of floodwater depth. Local biases in FwDET predictions, often manifested as sharp transitions or stripes in the water depth raster, can be attributed to spatial or resolution mismatches between the inundation map and the DEM. To alleviate these artifacts, we are introducing a boundary cell smoothing and slope filtering procedure in version 2.1 of FwDET (FwDET2.1). We present an optimization analysis that quantifies the effect of differing parameterization on the resulting water depth map. We then present an extensive intercomparison analysis in which 16 DEMs are used as input for FwDET Google Earth Engine (FwDET-GEE) implementation. We compare FwDET2.1 to FwDET2.0 using a simulated flood and a large remote sensing derived flood map (Irrawaddy River in Myanmar). The results show that FwDET2.1 results are sensitive to the smoothing and filtering values for medium and coarse resolution DEMs, but much less sensitive when using a finer resolution DEM (e.g., 10 m NED). A combination of ten smoothing iterations and a slope threshold of 0.5% was found to be optimal for most DEMs. The accuracy of FwDET2.1 improved when using finer resolution DEMs except for the MERIT DEM (90 m), which was found to be superior to all the 30 m global DEMs used. |
| first_indexed | 2024-03-09T18:42:11Z |
| format | Article |
| id | doaj.art-89c3b6acad944c8db7bef8bbcf669d2c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:42:11Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-89c3b6acad944c8db7bef8bbcf669d2c2023-11-24T06:37:01ZengMDPI AGRemote Sensing2072-42922022-10-011421531310.3390/rs14215313Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model SelectionsSagy Cohen0Brad G. Peter1Arjen Haag2Dinuke Munasinghe3Nishani Moragoda4Anuska Narayanan5Sera May6Department of Geography, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Geosciences, University of Arkansas, Fayetteville, AR 72701, USADeltares, 2600 MH Delft, The NetherlandsJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USADepartment of Geography, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Geography, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Geography, The University of Alabama, Tuscaloosa, AL 35487, USAThe Floodwater Depth Estimation Tool (FwDET) calculates water depth from a remote sensing-based inundation extent layer and a Digital Elevation Model (DEM). FwDET’s low data requirement and high computational efficiency allow rapid and large-scale calculation of floodwater depth. Local biases in FwDET predictions, often manifested as sharp transitions or stripes in the water depth raster, can be attributed to spatial or resolution mismatches between the inundation map and the DEM. To alleviate these artifacts, we are introducing a boundary cell smoothing and slope filtering procedure in version 2.1 of FwDET (FwDET2.1). We present an optimization analysis that quantifies the effect of differing parameterization on the resulting water depth map. We then present an extensive intercomparison analysis in which 16 DEMs are used as input for FwDET Google Earth Engine (FwDET-GEE) implementation. We compare FwDET2.1 to FwDET2.0 using a simulated flood and a large remote sensing derived flood map (Irrawaddy River in Myanmar). The results show that FwDET2.1 results are sensitive to the smoothing and filtering values for medium and coarse resolution DEMs, but much less sensitive when using a finer resolution DEM (e.g., 10 m NED). A combination of ten smoothing iterations and a slope threshold of 0.5% was found to be optimal for most DEMs. The accuracy of FwDET2.1 improved when using finer resolution DEMs except for the MERIT DEM (90 m), which was found to be superior to all the 30 m global DEMs used.https://www.mdpi.com/2072-4292/14/21/5313floodinginundation mappingremote sensing |
| spellingShingle | Sagy Cohen Brad G. Peter Arjen Haag Dinuke Munasinghe Nishani Moragoda Anuska Narayanan Sera May Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections Remote Sensing flooding inundation mapping remote sensing |
| title | Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections |
| title_full | Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections |
| title_fullStr | Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections |
| title_full_unstemmed | Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections |
| title_short | Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections |
| title_sort | sensitivity of remote sensing floodwater depth calculation to boundary filtering and digital elevation model selections |
| topic | flooding inundation mapping remote sensing |
| url | https://www.mdpi.com/2072-4292/14/21/5313 |
| work_keys_str_mv | AT sagycohen sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT bradgpeter sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT arjenhaag sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT dinukemunasinghe sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT nishanimoragoda sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT anuskanarayanan sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections AT seramay sensitivityofremotesensingfloodwaterdepthcalculationtoboundaryfilteringanddigitalelevationmodelselections |