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.
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Showing 1 to 13 of 13 for “"hyperspectral reflectance"”.
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Discriminating and mapping soil variability with hyperspectral reflectance data.
… by developing new mapping methodologies from hyperspectral remote sensing and reflectance spectroscopy. The spatially continuous and rich spectral information of hyperspectral data provides a powerful diagnostic tool for mapping and monitoring the earth’s surface materials. Similarly, …
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Understanding Soil Carbon Signatures from Hyperspectral Reflectance Data using Spectral Unmixing
… content. Moreover, the recent advancement of hyperspectral imagers has significantly increased spectral resolution, allowing more granular information to be captured. These devices offer a potentially more accurate methodology to quantify and monitor soil properties globally. Nevertheless, …
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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 …
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Shrubs as Sentinels of Ordnance Contamination: Using Plant Physiology and Remote Sensing to Detect TNT in Soils
… the collection of remotely sensed data, such as hyperspectral reflectance and chlorophyll fluorescence, and traditional plant-level physiological data. In accordance with the hypothesis, low levels of TNT improved physiological response in plants due to the slight increase in nitrogen, while high …
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Using satellite hyperspectral imagery to map soil organic matter, total nitrogen and total phosphorus
… This study aimed at examining the capacity of hyperspectral reflectance data for mapping soil organic matter (SOM), total nitrogen (N) and total phosphorus (P). Soil samples collected from Eagle Creek Watershed, Cicero Creek Watershed, and Fall Creek Watershed were analyzed for organic matter …
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High throughput phenotyping and quantitative genetics of leaf functional traits in C4 grasses
… scope in which statistical models developed from hyperspectral reflectance measurements could be applied to predict key leaf functional traits. PLSR models for SLA presented in Chapter 2 were successfully applied across broad genetic variation of hundreds of genotypes in both maize and sorghum. In …
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Evaluation and Application of a New Shape-sensitive Metric Useful for Characterizing Both Spectral Curves and Lidar Waveforms
<p>This dissertation seeks to investigate hyperspectral and waveform LiDAR datasets through a new analytical framework called Moment Distance method that uses a metric derived from the shape of the curve (spectral or waveform). In the case of hyperspectral data, the shape of the reflectance curve …
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Chemical and Physical Characterization of Pre- and Post-Fire Soils for Wildfires in the Western US and Laboratory Burns
… connections between Soil Water Repellency (SWR), reflectance spectra, and chemistry. During this study, ash and soil samples were collected after three megafires including Dixie, Beckwourth Complex, and Caldor. In addition, several field- and laboratory-based experiments were conducted on common …
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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 …
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Remote sensing of penguin populations: Development and application of a satellite-based method
… spectroradiometer obtained the first in situ hyperspectral reflectance spectra of Adélie and chinstrap guano. These spectra are used to identify the features responsible for varying guano types and suggest new indices for differentiating these in satellite imagery. Satellite imagery coincident …
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Improved leaf area index estimation by considering both temporal and spatial variations
… (PAI, which was validated to obtain LAI), ground hyperspectral reflectance, ground covers (grasses, forbs, standing dead, litter, and bare soil), and soil moisture data were collected over the sampling transect and plots from May through September, 2008. Satellite data used are SPOT 4/5 images and …
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Improved hyperspectral classification of vegetation through generative deep learning models.
Early studies into hyperspectral reflectance demonstrated that the spectra of different plants have the potential for taxonomic discrimination and classification, though this came with the caveat that misidentification was a frequent impediment as a result of small sample sizes, inter-class …
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Using Leaf Spectra to Elucidate the Taxonomy and Ecology of Living and Dried Plants
… and management of nature. The shortwave spectral reflectance of leaves is a promising tool for rapidly identifying species at different taxonomic ranks and predicting important plant functional traits. However, the spectral reflectance of leaves changes in response to biotic and abiotic …