@article{(Open Science Index):https://publications.waset.org/pdf/10011614,
	  title     = {Application of UAS in Forest Firefighting for Detecting Ignitions and 3D Fuel Volume Estimation},
	  author    = {Artur Krukowski and  Emmanouela Vogiatzaki},
	  country	= {},
	  institution	= {},
	  abstract     = {The article presents results from the AF3 project “Advanced Forest Fire Fighting” focused on Unmanned Aircraft Systems (UAS)-based 3D surveillance and 3D area mapping using high-resolution photogrammetric methods from multispectral imaging, also taking advantage of the 3D scanning techniques from the SCAN4RECO project. We also present a proprietary embedded sensor system used for the detection of fire ignitions in the forest using near-infrared based scanner with weight and form factors allowing it to be easily deployed on standard commercial micro-UAVs, such as DJI Inspire or Mavic. Results from real-life pilot trials in Greece, Spain, and Israel demonstrated added-value in the use of UAS for precise and reliable detection of forest fires, as well as high-resolution 3D aerial modeling for accurate quantification of human resources and equipment required for firefighting.
},
	    journal   = {International Journal of Biological and Ecological Engineering},
	  volume    = {14},
	  number    = {11},
	  year      = {2020},
	  pages     = {335 - 340},
	  ee        = {https://publications.waset.org/pdf/10011614},
	  url   	= {https://publications.waset.org/vol/167},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 167, 2020},
	}