Everett Hinkley's research while affiliated with US Forest Service and other places

... Also Hyper-spectral cameras or scanners have been discarded in the Sky-Eye prototype because their high cost. On the contrary, we have followed other researcher proposal (Dunagan, 2005) which shows that COTS cameras at low altitudes are able to obtain high quality images. The flight plan manager is supported by the contingency alerts coming from the engine manager and the electrical manager. ...

... Stefanik et al. [15] employed UAVs for stereo-image 3D landscape modeling. According to Rudol and Doherty [16] and Hinkley and Zajkowski [17], UAVs are assisting in the fast replacement of traditional aerial photography in the field of remote sensing by producing high spatial resolution aerial photographs of the earth's surface. UAV images may be used for a variety of purposes, including large-scale mapping, urban modeling, and flora structure mapping. ...

... These operations can convert the original images into the hyperspectral reflectance data of the whole tobacco fields. Radiometric correction is essential for correcting systematic error and radiation distortion (Watts et al., 2012). Considering the atmospheric gases and aerosols absorption during the image collection, methods based on the radiation transmission theory have been widely used for radiation correction, such as MODTRAN (Berk et al., 2014), 6S (Hu et al., 2013), and FLAASH (Vibhute et al., 2015). ...

... Drones use has rapidly overcrowded over the years because of their accessibility, low-cost operation, versatility in size, flight autonomy, and the type of information they can collect [10][11][12]. This approach has been increasing the number of applications, including monitoring processes in agriculture, forestry, and ecology [13][14][15][16][17][18][19][20]. In this sense, monitoring programs have benefited from drones' advantages, mainly because of the replicability of flight paths and the lower sampling effort, making more attainable time-series data ( Table 1) [17]. ...

... A wet winter and spring followed by hot, dry, and windy conditions in June and July led to above-average fire danger and fire behaviour that resisted suppression efforts (National Interagency Fire Center (NIFC) 2017). During large fire events in the USA, the National Infrared Operations program (NIROPS) is frequently requested to assist fire managers in gathering and interpreting infrared (IR) data to relay consistent and reliable information on fire position (Zajkowski et al. 2003). A team of IR technicians, interpreters, and pilots are assembled to deploy and operate aircraft-mounted IR equipment that is suited to detect small heat sources (i.e., 15-20 cm in diameter) over vast areas in a short amount of time (40.5 km 2 ·min -1 ) (Greenfield et al. 2003). ...

... To address this issue, in recent years, there has been active research towards developing systems based on unmanned aerial vehicles (UAVs) for fire detection [5,6] and operational support [7][8][9], but it has intensified lately as a result of the difficulties faced in responding to large-scale wildfires, which has reinforced the need to detect fires in an early stage, as well as to provide near real-time monitoring. ...

... Remote sensing has emerged as a crucial tool for the investigation of land cover changes globally and physical changes occurring on the terrain. The recent development in the use of remotely sensed satellite imagery is to take the privilege of the increasing amounts of locational-based data available in conjunction with GIS to assist in analysis/interpretation (Tziztiki, Jean, & Everett, 2012). To resolve and support development-oriented management and decision-making processes, the geospatial data classification is used as a combined system of computer hardware and software that can collect, load, recover, operate, examine, and display detailed spatial evidence. ...