Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out tasks. Three-dimensional (3D) hyperspectral novel powerful technology that has recently become available small UAVs. This study investigated performance of UAV-based photogrammetry imaging in individual tree detection species classification boreal forests. Eleven test sites with 4151 reference trees...

The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced methods. This study investigated the following topics concerning 16 in two subtropical forest fragments Southern Brazil: i) potential integration UAV-borne hyperspectral images 3D derived their photogrammetric point cloud (PPC); ii) performance machine learning methods (support vector – SVM random RF) when employing...

The use of remote sensing data for tree species classification in tropical forests is still a challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors on board unmanned aerial vehicle (UAV) platforms are rapidly evolving technology that provides new possibilities mapping. Besides the acquisition spatial resolution images, UAV-hyperspectral cameras operating frame format enable produce 3D hyperspectral point clouds. This study investigated...

Deep neural networks are currently the focus of many remote sensing approaches related to forest management. Although they return satisfactory results in most tasks, some challenges hyperspectral data remain, like curse dimensionality. In forested areas, another common problem is highly-dense distribution trees. this paper, we propose a novel deep learning approach for imagery identify single-tree species areas. We evaluated images with 25 spectral bands ranging from 506 820 nm taken over...

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....

The aim of this research was to develop a methodology involving aerial surveying using an unmanned system (UAS), processing and analysis images obtained by hyperspectral camera, achieving results that enable discrimination recognition sugarcane plants infected with mosaic virus. It necessary characterize the spectral response healthy in order define correct mode operation for which provides many band options imaging but limits each image 25 bands. Spectral measurements leaves...

The monitoring of forest resources is crucial for their sustainable management, and tree species identification one the fundamental tasks in this process. Unmanned aerial vehicles (UAVs) miniaturized lightweight sensors can rapidly provide accurate information. objective study was to investigate use multitemporal, UAV-based hyperspectral imagery highly diverse Brazilian Atlantic forest. Datasets were captured over three years identify eight different species. area comprised initial medium...

A robust and efficient technique to segment shaded areas in aerial color images is presented here. This based on the physical phenomenon of atmospheric dispersion sunlight most well known as Rayleigh scattering effect. does not depend special algorithms classify or form clusters objects appearing complex images. In fact, mathematical model, derived from model very simple but it produces consistent results can be applied obtained by airborne orbital sensors (e.g., Landsat TM IKONOS).

Image acquisition systems based on multi-head arrangement of digital cameras are attractive alternatives enabling a larger imaging area when compared to single frame camera. The calibration this kind system can be performed in several steps or by using simultaneous bundle adjustment with relative orientation stability constraints. paper will address the details proposed approach for calibration, image rectification, registration and fusion. Experiments terrestrial aerial images acquired two...

Abstract Recently, miniaturised hyperspectral sensors operable from small unmanned airborne vehicle platforms have entered the market. The emerging imaging technologies, based on frame cameras and tuneable filters, are attractive alternatives to pushbroom sensors. This paper addresses geometric calibration process of a camera Fabry–Pérot interferometer. However, addition more optical elements in front image sensor can affect parameters related internal geometry camera, deficiency knowledge...

The objective of this investigation was to study and optimize a hyperspectral unmanned aerial vehicle (UAV)-based remote-sensing system for the Brazilian environment. Comprised mainly forest sugarcane, area located in western region State São Paulo. A novel camera based on tunable Fabry–Pérot interferometer mounted aboard UAV due its flexibility capability acquire data with high temporal spatial resolution. Five approaches designed produce mosaics images, which represent hemispherical...

LiDAR data offer new possibilities for obtaining geometric parameters of forest areas, such as diameter at breast height (DBH), basal area, height, volume, biomass, and carbon stock. Terrestrial Laser Scanning (TLS) is highly accurate can be used to obtain the shape tree stem. In this paper, it proposed a method automatic elimination noisy points, followed by classification cross-section eucalyptus trees analysis relationship with circular model, traditionally estimate DBH. Based on method,...

The use of Personal Mobile Terrestrial System (PMTS) has increased considerably for mobile mapping applications because these systems offer dynamic data acquisition with ground perspective in places where the wheeled platforms is unfeasible, such as forests and indoor buildings. PMTS become more popular emerging technologies, miniaturized navigation sensors off-the-shelf omnidirectional cameras, which enable low-cost approaches. However, most have not been developed high-accuracy metric...

Miniaturised 2D frame format hyperspectral camera technology that is suitable for small unmanned aerial vehicles (UAVs) has entered the market, making generation of digital surface models (HDSMs) feasible. HDSMs offer a rigorous approach to capturing target spectral and 3D geometric data. The main objective this investigation was study develop techniques in forest areas using novel technologies. An based on object-space image matching developed, adapting traditional vertical line locus (VLL)...

Forests are in a permanent state of change due to natural and anthropogenic processes. Long-term time series analysis makes it possible reconstruct the forest history perform multitemporal on cause effect changes. This paper describes an approach for successional stage classification tropical based vertical structure variations. Stereo-photogrammetry novel image matching methods used produce dense digital surface models (DSMs) from optical images (historical contemporary). An was developed...

This study experiments with different combinations of UAV hyperspectral data and LiDAR metrics for classifying eight tree species found in a Brazilian Atlantic Forest remnant, the most degraded biome high fragmentation but huge structural complexity. The selection was done based on number samples, which exist plot fact imagery does not acquire information below forest canopy. Due to complexity forest, only that upper canopy remnant were included classification. A combination images point...

Abstract. The aim of this paper is to present results achieved with a 3D terrestrial calibration field, designed for calibrating digital cameras and omnidirectional sensors. This field composed 139 ARUCO coded targets. Some experiments were performed using Nikon D3100 camera 8mm Samyang Bower fisheye lens. was calibrated in test conventional bundle adjustment the Collinearity mathematical models specially lenses. CMC software (Calibration Multiple Cameras), developed in-house, used trials....

Forest variables are typically surveyed using sample plots, from which parameters for large areas estimated. The diameter at breast height (DBH) is one of the main collected in field and can be used with other forest measures. This study presents an automatic technique mapping measurement individual tree stems vertical terrestrial images a fisheye camera. Distinguishable points stem surface automatically extracted images, their 3D ground coordinates determined by bundle adjustment. XY each...

Abstract This paper presents a technique for the calibration of 360° dual imaging system (Ricoh Theta S) composed two cameras with fisheye lenses specially mounted in common structure. The experiments are based on bundle adjustment using equidistant lens model and relative orientation stability constraints, such as distance, base elements rotation matrix between individual cameras’ coordinate systems. As result, an mathematical Conrady–Brown distortion was shown to be suitable estimating...