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 20 of 25 for “"lidar remote sensing"”.
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Assessing indicators of forest sustainability using lidar remote sensing
… using a variety of indicators. Recently, digital remote sensing technologies have emerged as both alternative and supplement to traditional monitoring techniques, with light detection and ranging (lidar) in particular showing great promise for estimating a variety of indicators. The goal of this …
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MEASURING AND MAPPING FOREST WILDLIFE HABITAT CHARACTERISTICS USING LIDAR REMOTE SENSING AND MULTI-SENSOR FUSION
… imagery, but the results are not consistent. LiDAR remote sensing can produce consistent and accurate measurements of canopy cover, as well as other aspects of forest structure (such as canopy height and biomass) that are known or thought to be at least as predictive as canopy cover. Moreover, …
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LINKING ALLOMETRIC SCALING THEORY WITH LIDAR REMOTE SENSING FOR IMPROVED BIOMASS ESTIMATION AND ECOSYSTEM CHARACTERIZATION
… both in terms of testing emerging remote sensing approaches to forest carbon modeling, and examining allometric equations used to estimate biomass stocks in field plots. First, we test controversial theoretical predictions of forest allometry through the mapping of the allometric …
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Lidar remote sensing of aerosol and ozone profiles and application to air quality studies in New York City area
… are still lacking. This thesis utilizes lidar remote sensing techniques to retrieve the vertical distribution of O<sub>3</sub> and aerosols and study air pollution episodes in the NYC metropolitan area.</p> <p>The thesis includes three parts. The first part analyzes continuous ceilometer …
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Analysis of forest areas by advanced remote sensing systems based on hyperspectral and LIDAR data
… stem volume, height, etc. Hyperspectral and LIDAR remote sensing data can provide useful information to the identification of these attributes: hyperspectral data with their dense sampling of the spectral signatures are important for the classification of tree spe-cies, while LIDAR data are …
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ESTIMATION AND MODELING OF FOREST ATTRIBUTES ACROSS LARGE SPATIAL SCALES USING BIOMEBGC, HIGH-RESOLUTION IMAGERY, LIDAR DATA, AND INVENTORY DATA
… model Biome-BGC paired with inventory and remote sensing data to make inferences about a current forest state given known climate and site variables. Using a model of this type, future climate data can be used to make predictions about future forest states as well. An example of this work …
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ESTIMATION AND MODELING OF FOREST ATTRIBUTES ACROSS LARGE SPATIAL SCALES USING BIOMEBGC, HIGH-RESOLUTION IMAGERY, LIDAR DATA, AND INVENTORY DATA
… model Biome-BGC paired with inventory and remote sensing data to make inferences about a current forest state given known climate and site variables. Using a model of this type, future climate data can be used to make predictions about future forest states as well. An example of this work …
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Cybergis-enabled remote sensing data analytics for deep learning of landscape patterns and dynamics
… and high-resolution light detection and ranging (LiDAR) remote sensing data provides tremendous opportunities to unveil complex landscape patterns and better understand landscape dynamics from a 3D perspective. LiDAR data have been applied to diverse remote sensing applications where large-scale …
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LiDAR-Assisted Extraction of Old Growth Baldcypress Stands Along The Black River of North Carolina
… are estimated to be more than 1,000 years old, LiDAR remote sensing and geospatial analysis techniques can be employed. Promising results have been discovered correlating LiDAR-derived metrics and known stands of old growth baldcypress. A number of percentile height metrics and other composite …
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Bridging the Gap Between Lidar, Thermal, and Multispectral Remote Sensing for Irrigation Scheduling Applications
… of the crop water stress index (CWSI) that uses remotely sensed surface temperature (Ts) in addition to the fraction of vegetation (fc) to estimate the crop evaporative fraction through manipulation of the available energy balance equation. Seasonal and spatial relationships between WDI and …
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A multi-sensor approach to the retrieval and model validation of global cloudiness
… Hence, the onus falls squarely upon atmospheric remote sensing to provide this burden of truth through detailed, accurate observations of the physical system. Our inability to resolve by means of traditional passive sensors the detail of information required to characterize clouds has challenged …
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Data Quality Analysis of the Leica SPL100 Airborne Single Photon Lidar Sensor
Recently, Geiger-mode and single photon lidar sensors have emerged on the commercial market, advertising greater collection efficiency than traditional linear mode lidar systems. Non-linear photon detection is a new technology for the geospatial community, and its performance characteristics for …
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Identifying Locations Of Highly Eroded Agricultural Land In The Devils Lake Basin, ND Using GIS Terrain Analysis Modeling
<p>Soil erosion modeling using terrain analysis holds great potential due to the simplicity of the models, and the ease in running the analysis in a GIS. Terrain analysis of the upper Devils Lake basin was conducted using a 3-meter Light Detection and Ranging-derived digital elevation model. …
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