by Huddersfield Polytechnic .
Written in English
|Contributions||Polytechnic, Huddersfield. Department of Systems.|
For example, Graml and Wigley  proposed a method to detect hotspots around the perimeter of a recently extinguished bushfire using a small IntelliTech Microsystems Vector-P UAV. Sensors, an international, peer-reviewed Open Access journal. Dear Colleagues, There have been active developments and growth in Unmanned Aerial Vehicle (UAV) platforms, sensors, and image processing which have resulted in an increasing uptake of this technology in aerial robotics as well as the environmental and remote sensing science community. Remote Sensing (ISSN ) is a peer-reviewed open access journal about the science and application of remote sensing technology, and is published semi-monthly online by MDPI. Remote Sensing is affiliated to The Remote Sensing Society of Japan (RSSJ) and members receive a discount on the article processing charge.. Open Access free for readers, with article . A floodplain map has three key components: base map imagery and/or cartographic line work, an elevation model representing the earth’s surface or “terrain,” and flood study results generated from engineering analyses. This chapter describes remote sensing technologies that can be used to create the base map imagery and the elevation model and focuses on elevation because of .
Using airborne LiDAR intensity data as a feature space for urban land cover classification was initially discussed in Song et al. (). They examined the airborne LiDAR intensity data of asphalt road, grass, house roof and tree, where the intensity data is possible to provide sufficient separability for land cover by: This proposed hybrid FPQCA approach implements two consecutive phases: initial FCM clustering on the chosen remote sensing images over the timeline to generate fuzzy membership matrices U based on the allocation of pixels, and the fine-tuning, using the PQCA-based neighborhood priority correction method using majority voting, as depicted in Fig. 9. Remote Sensing Observation Platform Sensor-the device that actually gathers the remotely sensed data Platform-the device to which the sensor is attached The vehicles or carriers for remote sensing are called the platform. Based on its altitude above earth surface Typically platform are satellite and aircraft but they can also, aero plane. Synthetic-aperture radar (SAR) is a form of radar that is used to create two-dimensional images or three-dimensional reconstructions of objects, such as landscapes. SAR uses the motion of the radar antenna over a target region to provide finer spatial resolution than conventional beam-scanning radars. SAR is typically mounted on a moving platform, such as an aircraft or .
The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, . A method and apparatus for surveying ground terrain from an airborne vehicle is disclosed. According to the method and apparatus, an inertial measurement unit, a position tracking device, and a terrain altimeter are carried by the airborne vehicle in a known vector relationship to one another. The inertial measurement unit provides continuous accelerometer data from which a Cited by: A precise estimation and the characterization of the spatial variability of microclimate conditions (MCCs) are essential for risk assessment and site-specific management of vector-borne diseases and crop pests. The objective of this study was to estimate at local scale, and assess the uncertainties of Surface Microclimate Indicators (SMIs) derived from airborne infrared Author: Serge Olivier Kotchi, Nathalie Barrette, Alain A. Viau, Jae-DongJang, Valéry Gond, Mir Abolfazl Most. an approach for flood inundated duration extraction based on level set method using remote sensing data: an approach to conifer species classification based on branch structure modeling in high density airborne lidar data: an approach to multiple change detection in multisensor vhr optical images based on iterative clustering: