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 “"vegetation indices (VIs)"”.
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Remote sensing-based assessment of Gross Primary Production (GPP) in agricultural ecosystems
… of carbon gain, and satellite remotely-sensed vegetation indices (VIs). The data is brought together synthetically for major crops found in agricultural landscapes of Gwangwon Province, South Korea, e.g., rice, soybean, maize, potato, and sugar beet as a surrogate for radish. The long term goal …
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Alternaria Leaf Blight and Head Rot of Broccoli: UAV-Based Disease Detection and Fungicide Resistance Management
… severity. Marketable yield was highest with Miravis Prime, Fontelis, and Topguard. A UAV-mounted five-band multispectral camera performed imaging across three broccoli fields. Visual assessments of disease severity preceded imaging. Severity was determined using five spectral bands and 74 …
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Characterizing Impacts of and Recovery from Surface Coal Mining in Appalachian Forested Landscapes Using Landsat Imagery
… recovery slope and recovery maximum. Three vegetation indices (VIs) (normalized difference vegetation index, NDVI; tasseled cap greenness/brightness ratio, TC G/B; and inverse of Landsat band 3, B3I) were used to analyze multitemporal trajectories generated using both pixels and objects. …
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Improved leaf area index estimation by considering both temporal and spatial variations
… initiated by LAI estimated from satellite-level Vegetation Indices (VIs) including routinely produced Normalized Difference Vegetation Index (NDVI) products. However, the accuracy from LAI-VI relationships greatly varies due to many factors, including temporal and spatial variations in LAI and a …
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Productivity and ecosystem services from purpose-grown energy crops
… energy crops, (ii) evaluate ground-truth and Vegetation Indices (VIs) from Unmanned Aerial Vehicle (UAV)-based traits for N management of purpose-grown energy crops at field-scale, (iii) establish an economic criterion for identifying marginal land suitable for purpose-grown energy crops, and …
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Innovative Approaches for Detection and Management of Fruit Rot Diseases in Annual Hill Plasticulture Strawberry Production System
… camera sensors to accurately identify the best vegetation indices (VIs) for the early detection of AFR caused by Colletotrichum nymphaeae and Colletotrichum fioriniae in strawberries. The results indicated that the Chlorophyll Index (CI) and Green Normalized Difference Vegetation Index (GNDVI) …
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Predicting Corn Response to Variable Synthetic Fertilizer Treatments Using UAV-Derived Imagery
… using DJI Mavic equipped with an RGB sensor for visible light and four monochrome sensors for multispectral imaging (red: 650 nm ± 16 nm, green: 560 nm ± 16 nm, near-infrared (NIR): 840 nm ± 26 nm, red-edge: 730 nm ± 16 nm). UAV-derived vegetation indices (VIs) responsive to Chl and indicative of …
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Evaluation Of Selected Spectral Vegetation Indices In Senescent Rangeland Canopy Using Landsat Imagery
… species depends on the amount of nonproductive vegetation (NPV). To estimate NPV land managers are currently using the Robel pole visual obstruction reading methods. Researchers with the USDA Agricultural Research Service's (ARS) Northern Great Plains Research Laboratory in Mandan, ND, recently …
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Development of hay yield monitoring systems
… first study utilized various multispectral image vegetation indices (VIs) and regression models for biomass estimation. It evaluated the use of multispectral imaging systems, along with data collection and processing approaches. A multiple linear regression model was developed, using independent …
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The Detection of Vegetation Species in Remote Sensing Imaging
… used for classification in remote scening; supervised and unsupervised learning with some detail of the particular techniques used in this thesis, ranging from conventional statistical ones to Genetic Programming and Convolutional Neural Networks, are presented along with a review of their …
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Diversifying crop systems by developing intercropping breeding strategies for improving forage yield and quality in oat-legume mixtures
… tested the utility of UAV-derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality traits in oat–pea mixtures, evaluated as described above. Five VIs—three near-infrared-based (NDVI, GNDVI, NDRE) and two green-band indices (EXG, EXGR)—were incorporated as …
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Rivers Hydromorphological Characterization from High Resolution Remotely Sensed Data
… correction method. Moreover, the efficacy of vegetation indices (VIs) is examined for making distinction among the densities of submerged aquatic vegetation (SAV) using either above-water or retrievals of bottom reflectances. This research benefits, for the first time, from three different …
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Examining UAV-based LiDAR, Multispectral, Hyperspectral and Precision Photogrammetry Approaches for Tidal Salt Marsh Environments
… drivers controlling the distribution of this vegetation and improving tools to monitor changes in time and space, are urgent for successfully managing the survival of this threatened environment under scenarios of sea level rise (SLR). Surface elevation relative to mean sea level is critical …