Automatic Forest-Fire Measuring Using Ground Stations and Unmanned Aerial Systems

Automatic Forest-Fire Measuring Using Ground Stations and Unmanned Aerial Systems

This paper presents a novel system for automatic forest-fire measurement using cameras distributed at ground stations and mounted on Unmanned Aerial Systems (UAS). It can obtain geometrical measurements of forest fires in real-time such as the location and shape of the fire front, flame height and rate of spread, among others. Measurement of forest fires is a challenging problem that is affecte...

Unmanned Aerial Vehicles as tools for forest-fire fighting

This paper reviews the possibilities of UAV applications to forest-fire fighting in the typical before-during-after scheme. Before-fire they can be used for monitoring of the vegetation and the estimation of hydric stress and risk index. UAVs can also be applied for forest-fire detection, confirmation, localisation and monitoring. Finally, the UAVs are also useful for the evaluation of the fire...

Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs)

This article proposes a novel method for detecting forest fires, through the use of a new color index, called the Forest Fire Detection Index (FFDI), developed by the authors. The index is based on methods for vegetation classification and has been adapted to detect the tonalities of flames and smoke; the latter could be included adaptively into the Regions of Interest (RoIs) with the help of a...

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...

Smokey comes of age: unmanned aerial systems for fire management