S. Al-Mansoori, R. Al-Ruzouq, Diena Al Dogom, Meera Al Shamsi, Alya Al Mazzm, N. Aburaed
{"title":"山地地形排水格局和溢流评估的摄影测量技术和无人机- Hatta/UAE","authors":"S. Al-Mansoori, R. Al-Ruzouq, Diena Al Dogom, Meera Al Shamsi, Alya Al Mazzm, N. Aburaed","doi":"10.1109/IGARSS.2019.8898151","DOIUrl":null,"url":null,"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.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"82 1","pages":"951-954"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Photogrammetric Techniques and UAV for Drainage Pattern and Overflow Assessment in Mountainous Terrains - Hatta/UAE\",\"authors\":\"S. Al-Mansoori, R. Al-Ruzouq, Diena Al Dogom, Meera Al Shamsi, Alya Al Mazzm, N. Aburaed\",\"doi\":\"10.1109/IGARSS.2019.8898151\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":13262,\"journal\":{\"name\":\"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"82 1\",\"pages\":\"951-954\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2019.8898151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2019.8898151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Photogrammetric Techniques and UAV for Drainage Pattern and Overflow Assessment in Mountainous Terrains - Hatta/UAE
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.