Photogrammetric techniques and UAV for drainage pattern and overflow assessment in mountainous terrains - Hatta/UAE

Saeed Al Mansoori, Rami Al-Ruzouq, DIena Al Dogom, Meera Al Shamsi, Alya Al Mazzm, Nour Aburaed

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

Accurate and precise spatial hydrologic information is essential for effective management of natural resources, planning, and disaster response. Very high-resolution images and precise digital elevation models (DEMs) are crucial to accurately predict overflow in urban and mountainous regions; however, available course resolution DEMs with insufficient details cannot provide reliable overflow models. In this context, unmanned aerial vehicles (UAVs) offer a competitive alternative over satellites or airplanes and provide high spatial details essential for significant improvement of hydrological modeling. In this study, photogrammetric processing that includes stereo images captured via a fixed-wing drone were processed to generate a high-resolution DEM for the area surrounding the Hatta Dam in the United Arab Emirates. Three levels of details were introduced: data collection, photogrammetric processing, and hydrologic modeling. This study determined that flow modeling based on the UAV DEMs resulted in accurate hydrological modeling.

Original languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Place of PublicationPiscataway, NJ
Pages951-954
Number of pages4
DOIs
Publication statusPublished - 14 Nov 2019
Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
CountryJapan
CityYokohama
Period28/07/192/08/19

Keywords

  • digital elevation model
  • drainage pattern
  • hydrological modeling
  • photogrammetry
  • UAV
  • very high-resolution images

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