Skip to main content
Flood damages occur when just one inch of water enters a residential household, and models of flood damage estimation are sensitive to first-floor elevation (FFE). The current sources for FFEs consist of costly survey-based elevation certificates (ECs) or assumptions based on year built and foundation type. We sought to address these limitations by establishing the role of an RTK enabled UAS to efficiently derive accurate FFEs. Four residential communities within Galveston Island, Texas were selected to assess efficient flight parameters required for UAS photogrammetry within the built environment. A DJI Phantom 4 RTK was then used to gather georeferenced aerial imagery and create detailed 3D photogrammetric models with +0.02 m horizontal and +0.05 m vertical accuracies. From these residential models, FFEs and other measurements present in traditional ECs were obtained. Comparative statistical analyses were performed using the UAS-based measurements and traditional EC measurements. UAS based FFE measurements achieved 0.16 m mean absolute error (MAE) across all comparative observations and were not statistically different to traditional EC measures. Given that aerial imagery capture, photogrammetric processing, and deriving of FFEs for each community were completed within a week, our study concludes the RTK enabled UAS approach is an efficient, cost-effective method in establishing accurate FFEs and other flood sensitive measures in residential communities. FFEs, along with other UAS-based data, can be used to parametrize flood risk models further and understand damage at the household level.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 4 of 4 Results
Dec 8, 2021
Diaz, Nicholas, 2021, "Campeche Cove", https://doi.org/10.18738/T8/GLGDMW, Texas Data Repository, V1, UNF:6:iTIXdAvUI2o7nLoJdkzjsw== [fileUNF]
High resolution photogrammetric RAW JPGs of the residential community Campeche Cove located in Galveston, TX. Aerial imagery captured at 100 m altitude (GSD 2.74 cm)using DJI-RTK-UAS. Used to create 3D models with +/- 2 cm horizontal and +/- 5 cm vertical accuracies to ultimately...
Dec 8, 2021
Diaz, Nicholas, 2021, "Silk Stocking District", https://doi.org/10.18738/T8/TYA6WC, Texas Data Repository, V1, UNF:6:z59ai4bGPJ/WHkIItf1vIA== [fileUNF]
High resolution photogrammetric RAW JPGs of the Silk Stocking District located in Galveston, TX. Aerial imagery captured at 45 m altitude (GSD 1.24 cm) using DJI-RTK-UAS. Used to create 3D models with +/- 2 cm horizontal and +/- 5 cm vertical accuracies to ultimately derive first...
Dec 8, 2021
Diaz, Nicholas, 2021, "Evia", https://doi.org/10.18738/T8/XRCAA6, Texas Data Repository, V1, UNF:6:iQgDH7KVetdv3oEnRZpgbw== [fileUNF]
High resolution photogrammetric RAW JPGs of the residential community Evia located in Galveston, TX. Aerial imagery captured at 100 m altitude (GSD 2.74 cm) using DJI-RTK-UAS. Used to create 3D models with +/- 2 cm horizontal and +/- 5 cm vertical accuracies to ultimately derive...
Dec 8, 2021
Diaz, Nicholas, 2021, "Lafitte's Cove", https://doi.org/10.18738/T8/4R5UTD, Texas Data Repository, V1, UNF:6:akQTr/RCF667kXZ5innBtA== [fileUNF]
High resolution photogrammetric RAW JPGs of the residential community Lafitte's Cove located in Galveston, TX. Aerial imagery captured at 100 m altitude (GSD 2.74 cm) using DJI-RTK-UAS. Used to create 3D models with +/- 2cm horizontal and +/- 5 cm vertical accuracies to ultimatel...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Texas Data Repository TDL Dataverse Support

Texas Data Repository TDL Dataverse Support

Please fill this out to prove you are not a robot.

+ =