Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 24 for “"hyperspectral remote sensing"”.
-
Variations in modelled and measured hyperspectral remote sensing reflectance
Measurements of hyperspectral surface reflectance, with a spectral range of 350-800nm and sampling interval of 3.3nm, were made in Scottish coastal waters, the Bristol Channel and the Atlantic Ocean. Analysis of the shape of these spectra by normalisation and differentiation revealed three …
-
Manifold learning based spectral unmixing of hyperspectral remote sensing data
<p>Nonlinear mixing effects inherent in hyperspectral data are not properly represented in linear spectral unmixing models. Although direct nonlinear unmixing models provide capability to capture nonlinear phenomena, they are difficult to formulate and the results are not always generalizable. …
-
Feature extraction and data reduction for hyperspectral remote sensing Earth observation
… and spacecrafts such as Landsat. Inclusion of Hyperspectral Imaging (HSI) technology in some of these platforms has made possible acquiring large data sets, with high potential in analytical tasks but at the cost of advanced signal processing. In this thesis, effective/efficient feature …
-
Airborne multispectral and hyperspectral remote sensing techniques in archaeology: a comparative study
… and well-established applications of airborne remote sensing to archaeology involve standard aerial photographic recording, either oblique or vertical, of archaeological phenomena visible as shadow, soil or cropmarks, all of which require particular conditions before they become visible. …
-
Hyperspectral Remote Sensing for UXO Detection and Damage Assessment on Airfield Pavements
… repair operations. Developing a fully autonomous remote assessment solution would improve the speed and safety of this critical task, but remains an unsolved problem despite continued advances in drone technology, deep learning, and computer vision. This research explores using near-surface …
-
Detection and attribution of drought and oil-induced plant stress using hyperspectral remote sensing
This study investigates the potential use of hyperspectral remote sensing in detecting stress in vegetation caused by both drought stress and hydrocarbon contamination of the soil. Spectral and plant biochemical measurements were taken from an in-situ field experiment and a glasshouse experiment at …
-
Combined multispectral/hyperspectral remote sensing of tropospheric aerosols for quantification of their direct radiative effect
… work we explore another alternative: the use of hyperspectral measurements in molecular absorption bands. Our study can be divided into three stages the first of which is the development of a fast radiative transfer model for rapid simulation of measurements. Our approach is matrix operator based …
-
HYPERSPECTRAL REMOTE SENSING FOR ADVANCED DETECTION OF EARLY BLIGHT (ALTERNARIA SOLANI) DISEASE IN POTATO (SOLANUM TUBEROSUM) PLANTS
… in potato (Solanum tuberosum) plants using hyperspectral remote sensing data captured with a handheld spectroradiometer. Hyperspectral reflectance spectra were captured 10 times over five weeks from plants grown to the vegetative and tuber bulking growth stages. The spectra were analyzed …
-
Remote detection of forest structure in the White Mountains of New Hampshire: An integration of waveform lidar and hyperspectral remote sensing data
… integration of waveform lidar with hyperspectral data did enhance the ability to remotely describe a number of common measures of forest structure. Compositional abundance patterns, however, were not improved over use of AVIRIS data alone. Maps predicting species abundance patterns …
-
Analysing the influence of TNT on Southern African trees grass and shrubs using in-situ hyperspectral data
… TNT from leaking landmines can be detected using hyperspectral remote sensing of plant foliage, with the aim of being an area reduction aid. Increasing concentrations of TNT was administered to a study sample of five species of trees, five species of grasses and four species of shrubs, and …
-
Hyperspectral Reflectance and Stable Isotopic Nitrogen: Tools to Assess Forest Ecosystem Nitrogen Cycling
… (Pinus taeda) to explore relationships between hyperspectral remote sensing, N stable isotope ratios ("15N) and growth response to nitrogenous fertilizer. In both species multiple linear regression models relating leaf-level reflectance to "15N showed strong predictive capabilities, with some …
-
Disaster and infrastructure scene understanding
… unmanned aerial vehicles (UAV) enabled real-time hyperspectral imaging and learning of structural damage. Two specific situations are considered when dealing with mobile images. First, in engineering practice, even with the abundance of imaging capabilities, semantically labeled engineering damage …
-
Feasibility study using remote sensing technologies to improve zonal vineyard management
… research was to examine the feasibility of using remote sensing data to improve efficiency of zonal vineyard management. To achieve this goal, correlation analysis between the significant vineyard management variables and different remote sensing data analysis tools were undertaken. The variables …
-
Analysis of Precision Agriculture Datasets for on -Farm Research
… soybean composition using site attributes and hyperspectral remote sensing images. This study showed techniques to overcome issues of multicollinearity of the independent variables and the autocorrelation in the error term. Areas of greater SOM electrical conductivity, lower elevation, lower …
-
Assessing hemlock woolly adelgid induced decline and susceptibility using hyperspectral technologies
… the scientific framework for using narrow band hyperspectral instruments to assess early hemlock decline and susceptibility to the introduced hemlock woolly adelgid (HWA). To this end, spectral data from an ASD FieldSpec Pro was used to develop a 6-term linear regression equation, which …
-
Quantifying plant physiological responses to drought and high-temperature stress in the Midwest U.S.: Through scaling from proximal hyperspectral sensing to satellite monitoring
… scalable estimation methods to novel satellite remote sensing datasets of a high-spatiotemporal resolution. I used a rich ground truth dataset collected from a network of 36 camera-monitoring sites, and based on the ground truth data, validated the scalable algorithms, and reliably quantified …
-
Synoptic Comparison of Salt Marsh Spatial Structure Using Hyperspectral Imagery at NOAA National Estuarine Research Reserves.
… scale field observations, aerial and satellite remote sensing has provided an effective alternative for studying these plant communities. This research focused on the use of hyperspectral remote sensing to advance an overall understanding of salt marsh ecosystem productivity, diversity, and …
-
Detection of rare earth elements and rare earth oxides with hyperspectral spectroscopy
… to globally map important deposits might be remote sensing, since it has been used for a wide range of mineral mapping in the past. This doctoral thesis investigates the capacity of hyperspectral remote sensing for the detection of rare earth element deposits. The definition and the …
-
Analyzing variation in snow albedo across spatial scales of observation in the Alaskan boreal forest
… cover. To do so, we compare multispectral and hyperspectral remote sensing instrumentation across scales of observation from ground-based transects to airborne and satellite-based measurements. Using airborne data from Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG), we conducted a …
-
The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data
… a critical challenge for effective analysis of hyperspectral data for vegetation applications. Discrete wavelet transform (DWT), through multiresolution analysis, offers oppurtunities both to reduce dimension and convey information at multiple spectral scales. In this study, we investigated the …
Page 1 of 2