{"title":"DÜŞÜK MALİYETLİ İNSANSIZ HAVA ARAÇLARI İÇİN UÇUŞ ÖNCESİ BLOK PLANLAMANIN DEĞERLENDİRİLMESİ","authors":"Sercan Gülci, H. Yurtseven, M. Akgül","doi":"10.32328/TURKJFORSCI.856994","DOIUrl":null,"url":null,"abstract":": Recent development in low-cost Unmanned Aerial Vehicles (UAVs) and software, which offer low-cost imagining at user defined the aerial photogrammetry is widely preferred for mapping and field measurement purposes because of its time and cost-benefit in various applications. Within the scope of forestry-related surveying and mapping, the demand for low-cost drones in Turkey and the world has increased dramatically. Accordingly, low-cost UAVs and its sensors are rapidly being introduced to the market. Consequently, product varieties increase rapidly. The techniques, methods, and measurement tools used are important factors affecting the sensitivity of the data obtained by the UAVs. Besides, the quality and sensitivity of the block acquisition obtained with UAVs varies depending on the environmental factors as well as the flight speed, flight altitude and the characteristics of sensors. In the present study, low-cost UAV used in the Structure-from-Motion (SfM) studies was evaluated and examined pre-flight block planning scenarios. Hence the block acquisition obtained by UAVs has been explored for the scope of pre-flight planning in order to provide the proper sensitivity in scientific research and applications. Five different pre-flight plans were calculated for a low-cost drone in the market, especially considering the UAV (Drone)’s flight capacity and its sensor feature and flight altitudes. The maximum and minimum performance of the low-cost UAV-mounted image sensor can be estimated with the help of a few technical information. Therefore, it is possible to predict and ensure data sensitivity and flight safety obtained by drones. This article aims to provide a pre-control plan for experts or researchers who tend to use semi-automated systems such as low-cost drones or micro drones in field surveys based on photogrammetry.","PeriodicalId":227277,"journal":{"name":"TURKISH JOURNAL OF FOREST SCIENCE","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TURKISH JOURNAL OF FOREST SCIENCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32328/TURKJFORSCI.856994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
: Recent development in low-cost Unmanned Aerial Vehicles (UAVs) and software, which offer low-cost imagining at user defined the aerial photogrammetry is widely preferred for mapping and field measurement purposes because of its time and cost-benefit in various applications. Within the scope of forestry-related surveying and mapping, the demand for low-cost drones in Turkey and the world has increased dramatically. Accordingly, low-cost UAVs and its sensors are rapidly being introduced to the market. Consequently, product varieties increase rapidly. The techniques, methods, and measurement tools used are important factors affecting the sensitivity of the data obtained by the UAVs. Besides, the quality and sensitivity of the block acquisition obtained with UAVs varies depending on the environmental factors as well as the flight speed, flight altitude and the characteristics of sensors. In the present study, low-cost UAV used in the Structure-from-Motion (SfM) studies was evaluated and examined pre-flight block planning scenarios. Hence the block acquisition obtained by UAVs has been explored for the scope of pre-flight planning in order to provide the proper sensitivity in scientific research and applications. Five different pre-flight plans were calculated for a low-cost drone in the market, especially considering the UAV (Drone)’s flight capacity and its sensor feature and flight altitudes. The maximum and minimum performance of the low-cost UAV-mounted image sensor can be estimated with the help of a few technical information. Therefore, it is possible to predict and ensure data sensitivity and flight safety obtained by drones. This article aims to provide a pre-control plan for experts or researchers who tend to use semi-automated systems such as low-cost drones or micro drones in field surveys based on photogrammetry.