A5059000021- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Remote Sensing in Agriculture
- Robotics and Sensor-Based Localization
- Forest Ecology and Biodiversity Studies
- Combustion and Detonation Processes
- Engineering Applied Research
- Infrared Target Detection Methodologies
- Fire dynamics and safety research
- Fire effects on ecosystems
- Surface Roughness and Optical Measurements
- Smart Agriculture and AI
- Aerospace Engineering and Control Systems
- Aerospace Engineering and Applications
- Combustion and flame dynamics
- Satellite Image Processing and Photogrammetry
- Advanced Research in Science and Engineering
- Forest ecology and management
Finnish Geospatial Research Institute
2011-2019
Geological Survey of Finland
2018
Maanmittauslaitos
2018
The objective of this investigation was to develop and investigate methods for point cloud generation by image matching using aerial data collected quadrocopter type micro unmanned vehicle (UAV) imaging systems. Automatic high-quality, dense clouds from digital images is a recent, cutting-edge step forward in photogrammetric technology. major components the system are UAV system, an collection process high overlaps, post-processing with orientation generation. Two approaches were developed:...
Accurate three-dimensional (3D) data from indoor spaces are of high importance for various applications in construction, navigation and real estate management. Mobile scanning techniques offering an efficient way to produce point clouds, but with a lower accuracy than the traditional terrestrial laser (TLS). In this paper, we first tackle problem how quality cloud should be rigorously evaluated. Previous evaluations typically operate on some subset, using manually-given length scale, which...
Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative conventional pushbroom scanners because they enable enhanced processing and interpretation potential by allowing for acquisition of the 3-D geometry object multiple views together with reflectance signatures. The objective this investigation was study performance novel visible near-infrared (VNIR)...
Forests are the most diverse terrestrial ecosystems and their biological diversity includes trees, but also other plants, animals, micro-organisms. One-third of forested land is in boreal zone; therefore, changes forests can shape biodiversity, even at global scale. Several forest attributes, including size variability, amount dead wood, tree species richness, be applied assessing biodiversity a ecosystem. Remote sensing offers complimentary tool for traditional field measurements mapping...
A recent revolution in miniaturised sensor technology has provided markets with novel hyperspectral imagers operating the frame format principle. In case of unmanned aerial vehicle (UAV) based remote sensing, is highly attractive comparison to commonly utilised pushbroom scanning technology, because it offers better stability and possibility capture stereoscopic data sets, bringing an opportunity for 3D object reconstruction. Tuneable filters are one approaches capturing multi- or images....
Abstract. The objective of this investigation was to study the use a new type low-weight unmanned aerial vehicle (UAV) imaging system in precision agriculture. consists novel Fabry-Perot interferometer based hyperspectral camera and high-resolution small-format consumer camera. sensors provide stereoscopic imagery 2D frame-format they both weigh less than 500 g. A processing chain developed for production high density point clouds reflectance image mosaics (reflectance signatures), which are...
Seedling stands are mainly inventoried through field measurements, which typically laborious, expensive and time-consuming due to high tree density small size. In addition, operationally used sparse airborne laser scanning (ALS) aerial imagery data not sufficiently accurate for inventorying seedling stands. The use of unmanned vehicles (UAVs) forestry applications is currently in attention the midst quick development this technology could be make stand management more efficient. This study...
Abstract. Data collection under highly variable weather and illumination conditions around the year will be necessary in many applications of UAV imaging systems. This is a new feature rigorous photogrammetric remote sensing processing. We studied performance two georeferencing point cloud generation approaches using image data sets collected four seasons (winter, spring, summer autumn) different (sunny, cloudy, solar elevations). used light, quadrocopter UAVs equipped with consumer cameras....
This study proposed the development plan of a novel aerial-to-ground remote sensing (AGRS) system for surveying land scenes interest. Specifically, AGRS is composed by integrating an unmanned aerial vehicle (UAV) imaging and mobile mapping (MMS), onboard whose platform control station also added. The UAV-MMS-collaboration can be classified into two modes - loosely tightly, respectively related to efficacy levels fine-scale in general target investigating special cases. latter scenario...
Abstract. The unmanned airborne system (UAS) remote sensing using lightweight multi- and hyperspectral imaging sensors offer new possibilities for the environmental monitoring applications. Based on accurate measurements of way in which object reflect emit energy, wide range affecting variables can be monitored. Condition reliable applications is input data. In many applications, installation geometric radiometric reference targets area challenging, instance, forest or water areas. On other...
Abstract. Biodiversity is commonly referred to as species diversity but in forest ecosystems variability structural and functional characteristics can also be treated measures of biodiversity. Small unmanned aerial vehicles (UAVs) provide a means for characterizing ecosystem with high spatial resolution, permitting measuring physical from viewpoint The objective this study examine the applicability photogrammetric point clouds hyperspectral imaging acquired small UAV helicopter mapping...
Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D reflectance information and geometric data of targets interest, which enables detailed radiometric characterization the object. These technologies are expected provide efficient tools various environmental applications, such as canopy classification, stress analysis, precision agriculture,...
Abstract. Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D reflectance information and geometric data of targets interest, which enables detailed radiometric characterization the object. These technologies are expected provide efficient tools various environmental applications, such as canopy classification, stress analysis, precision...
Abstract. Novel miniaturized multi- and hyperspectral imaging sensors on board of unmanned aerial vehicles have recently shown great potential in various environmental monitoring measuring tasks such as precision agriculture forest management. These systems can be used to collect dense 3D point clouds spectral information over small areas single stands or sample plots. Accurate radiometric processing atmospheric correction is required when data sets from different dates sensors, collected...
Estimation of the essential climate variables (ECVs), such as photosynthetically active radiation (FAPAR) and leaf area index (LAI), is largely based on satellite-based remote sensing subsequent inversion radiative transfer (RT) models. In order to build models that accurately describe within below canopy, detailed 3D structural (geometrical) spectral (radiometrical) information canopy needed. Close-range sensing, terrestrial UAV-based measurements, offers significant opportunity improve RT...