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Remote sensing

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Winter Wheat Biomass And Yield Estimation Using Unmanned Aerial Vehicle-Based And Venµs Satellite Imagery With Machine Learning Techniques, Marco S. Chiu Mr. Aug 2024

Winter Wheat Biomass And Yield Estimation Using Unmanned Aerial Vehicle-Based And Venµs Satellite Imagery With Machine Learning Techniques, Marco S. Chiu Mr.

Electronic Thesis and Dissertation Repository

Monitoring crop productivity is crucial in precision agriculture, often using biomass and yield as metrics to measure crop health and growth status. This thesis aims to predict dry above-ground biomass using Unmanned Aerial Vehicle (UAV) multispectral imagery, derived vegetation indices (VI), plant height, leaf area index (LAI), and plant nutrient content ratios. Additionally, the thesis tests the viability of VENμS satellite data as an alternative to other popular multispectral satellite data for predicting winter wheat yield. Conducted in two winter wheat fields in southwestern Ontario, Canada, the study employed Random Forest (RF) and Support Vector Regression (SVR) machine learning models …


The Core Of It All: From The Forest To The Concrete Jungle, Ayo Andra J. Deas Jun 2024

The Core Of It All: From The Forest To The Concrete Jungle, Ayo Andra J. Deas

Dissertations, Theses, and Capstone Projects

The Core of It All is a component of principle within Fasaha. The mission of Fasaha is to implement programming directed toward development of one’s Core through self-actualization. Self-Actualization is defined as bringing forth the total essential qualities of one’s own consciousness, character, and identity through positive behavior. Throughout this manuscript, principle is defined as the standard of natural essential qualities determining intrinsic consciousness, character and identity. Programming is defined as providing with intrinsic instructions for the automatic performance of a task.

Fasaha is a support service that enhances the existing organization’s service. Throughout this dissertation, it will be apparent …


Using Machine Learning Classification And Esa Sentinel 2 Multispectral Imager Data To Delineate Marsh Vegetation And Measure Ecotone Movement In Coastal Georgia, Thomas A. Pudil Jan 2023

Using Machine Learning Classification And Esa Sentinel 2 Multispectral Imager Data To Delineate Marsh Vegetation And Measure Ecotone Movement In Coastal Georgia, Thomas A. Pudil

Electronic Theses and Dissertations

Tidal marshes are unique communities that are subjected to environmental stressors including sea level rise, salinity change, and drought, resulting in constant change. It is important to monitor these changing areas because of the ecosystem services they provide to us, such as protection from storms and carbon sequestration. The proposed work for this thesis project is focused on the study of tidal marshes and the dynamics between the vegetation species within them. The aim of this project is to use geospatial technology and analyses, along with machine learning classification methods, to monitor change in these valuable ecosystems. The Georgia coast …


Studies Of Roseau Cane Dieback In The Lower Mississippi River Delta Based On Remote Sensing Data Including Landsat, Worldview, And Drone, Nan Shang Nov 2022

Studies Of Roseau Cane Dieback In The Lower Mississippi River Delta Based On Remote Sensing Data Including Landsat, Worldview, And Drone, Nan Shang

LSU Doctoral Dissertations

This research focused on the Roseau cane (Phragmites australis) dieback assessment in the lower MRD of Louisiana and introduced a comprehensive and systematic multi-source remote sensing method for assessing wetland and Roseau cane dieback and habitat dynamics analysis from three scale levels from large-scale to small scale.

Large-scale historical vegetation/land change analyses were conducted in the lower MRD based on Landsat in the past two decades (2001 - 2021). A strong increasing trend of vegetation was found since 2005. Around 51 km2 ofdieback area was detected which accounts for 11% of the overall vegetation coverage. This research …


Characterizing Dryland Ecosystems Using Remote Sensing And Dynamic Global Vegetation Modeling, Abdolhamid Dashtiahangar Dec 2019

Characterizing Dryland Ecosystems Using Remote Sensing And Dynamic Global Vegetation Modeling, Abdolhamid Dashtiahangar

Boise State University Theses and Dissertations

Drylands include all terrestrial regions where the production of crops, forage, wood and other ecosystem services are limited by water. These ecosystems cover approximately 40% of the earth terrestrial surface and accommodate more than 2 billion people (Millennium Ecosystem Assessment, 2005). Moreover, the interannual variability of the global carbon budget is strongly regulated by vegetation dynamics in drylands. Understanding the dynamics of such ecosystems is significant for assessing the potential for and impacts of natural or anthropogenic disturbances and mitigation planning, and a necessary step toward enhancing the economic and social well-being of dryland communities in a sustainable manner (Global …


An Evaluation Of Unmanned Aerial Systems And Structure-From-Motion For Fluvial Large Wood Sensing And Risk Assessment, Daniel Gerke Dec 2019

An Evaluation Of Unmanned Aerial Systems And Structure-From-Motion For Fluvial Large Wood Sensing And Risk Assessment, Daniel Gerke

Masters Theses

This research aims to show Unmanned Aerial System (UAS) and Structure-from-Motion (SfM) technology can, in combination, improve on traditional large wood (LW) monitoring techniques. More temporally and economically efficient data collected at a finer spatial resolution and greater spatial extent will increase the effectiveness of management plans and risk assessment for LW by providing decision-makers with a complete picture of the river.

Contemporary practices are too inefficient in time and labor for large-scale monitoring of fluvial LW with anything more than the most general management or risk assessment in mind. The paradigm of river research, the river continuum concept (RCC), …


An Unsupervised Machine-Learning Framework For Behavioral Classification From Animal-Borne Accelerometers, Jane Elizabeth Dentinger May 2019

An Unsupervised Machine-Learning Framework For Behavioral Classification From Animal-Borne Accelerometers, Jane Elizabeth Dentinger

Theses and Dissertations

Studies of animal spatial distributions typically use prior knowledge of animal habitat requirements and behavioral ecology to deduce the most likely explanations of observed habitat use. Animal-borne accelerometers can be used to distinguish behaviors which allows us to incorporate in situ behavior into our understanding of spatial distributions. Past research has focused on using supervised machine-learning, which requires a priori specification of behavior to identify signals whereas unsupervised approaches allow the model to identify as many signal types as permitted by the data. The following framework couples direct observation to behavioral clusters identified from unsupervised machine learning on a large …


The Effects Of Deforestation On Carbon Storage In Khabarovsk Krai, Russia, Rowan E. Cole Apr 2019

The Effects Of Deforestation On Carbon Storage In Khabarovsk Krai, Russia, Rowan E. Cole

Masters Theses

With over one-fifth of the planet’s forested area, Russia has become a major source of round wood and wood products. In 2003, the Russian government established an energy policy aimed at reducing the negative impacts of industry on the environment and improving the nation’s environments as a whole. This study analyzes deforestation and logging activities in the forests along the Amur River in Khabarovsk Krai in the Russian Far East to determine the effectiveness of Russian government policy in achieving the goals put forward in the 2003 energy policy. Changes in land-use and land-cover will be assessed using 500-meter resolution …


Four Years Of Unmanned Aerial System Imagery Reveals Vegetation Change In A Sub-Arctic Mire Due To Permafrost Thaw, Jessica Delgreco Jan 2018

Four Years Of Unmanned Aerial System Imagery Reveals Vegetation Change In A Sub-Arctic Mire Due To Permafrost Thaw, Jessica Delgreco

Master's Theses and Capstones

Warming trends in sub-arctic regions have resulted in thawing of permafrost which in turn induces change in vegetation across peatlands both in areal extent and composition. Collapse of palsas (i.e. permafrost plateaus) has also been correlated with increases in methane (CH4) emission to the atmosphere. Vegetation change provides new microenvironments that promote CH4 production and emission, specifically through plant interactions and structure. By quantifying the changes in vegetation at the landscape scale, we will be able to scale the impact of thaw on CH4 emissions in these complex climate-sensitive northern ecosystems. We combine field-based measurements of vegetation composition and Unmanned …


A Comparative Study Of Raster And Vector Based Approaches In Vegetation Mapping On Five Islands Off The Coast Of Port Kembla., P B. Barlow Jan 2018

A Comparative Study Of Raster And Vector Based Approaches In Vegetation Mapping On Five Islands Off The Coast Of Port Kembla., P B. Barlow

Science, Medicine & Health - Honours Theses

Remote sensing has facilitated extraordinary advances in the modelling, mapping and understanding of vegetation in remote Island ecosystems. With the unforgiving responses of Island ecosystems to anthropogenic influences, it is paramount that managerial strategies are put into place and vegetation conditions are quantified. The Five Islands group has an extensive history of anthropogenic alteration, resulting in widespread change in vegetation dynamics. In recent years introduced vegetation has overpopulated Big Island – The largest of the Island Nature Reserve – and made it inhabitable for protected burrowing and nesting seabird populations. As a result NSW National Parks and Wildlife Service (NPWS) …


The Utility Of Fine-Scale Remote Sensing Data For Modeling Habitat Characteristics And Breeding Bird Species Distributions In An Appalachian Mature Deciduous Forest., James Sheehan Jan 2017

The Utility Of Fine-Scale Remote Sensing Data For Modeling Habitat Characteristics And Breeding Bird Species Distributions In An Appalachian Mature Deciduous Forest., James Sheehan

Graduate Theses, Dissertations, and Problem Reports

In this study, I tested the potential for remote sensing data with a high spatial resolution to model breeding forest bird species and their habitat at a fine spatial scale. The research took place on ridgetops in a large, relatively contiguous Appalachian mature deciduous forest in northwestern WV, USA. The remote sensing data sources were a leaf-on QuickBird satellite image (0.6-m panchromatic and 2.4-m multispectral) and a 3-m digital elevation model (DEM). For the first part of the study, I extracted spectral and textural measures from the satellite image and terrain information from the DEM. I then used these data …


Using Thermal Infrared Imagery To Estimate Soil Hydraulic Parameters: A Novel Approach, Matthew B. Thomas Jan 2017

Using Thermal Infrared Imagery To Estimate Soil Hydraulic Parameters: A Novel Approach, Matthew B. Thomas

Undergraduate Theses, Professional Papers, and Capstone Artifacts

In this study, skin temperature measured with a thermal infrared (TIR) camera was used to estimate soil hydraulic parameters. These physical properties that control how soils transport and retain water are notoriously difficult to measure in the field due to spatial variability. Laboratory experiments were set up to record surface skin temperature response in a clean soil column using a TIR camera after an artificial wetting event. An array of thermocouples, a net radiometer, heat flux sensor and weather station were used to constrain the TIR data and the energy budget during the experiment. The soil column surface was then …


Quantifying Gully Erosion In West Tennessee Using High Resolution Lidar Data, John James Mcnelis May 2016

Quantifying Gully Erosion In West Tennessee Using High Resolution Lidar Data, John James Mcnelis

Masters Theses

This research demonstrates the use of Light Detection and Ranging (LIDAR) for detailed measurement of volume change and erosional and depositional processes within a small gully and assessing the impact of digital elevation model (DEM) resolution on these measurements. The study site is an active gully in Meeman-Shelby Forest State Park in Tennessee, USA. DEMs were derived from an airborne LIDAR survey and multiple terrestrial LIDAR scans. DEM differences were used to quantify gross volumes of erosion and deposition within the gully over a three year period and a 49 day period. Analysis of the airborne LIDAR point cloud indicated …


Historical Riparian Vegetation Changes In Eastern Nsw, Angus Skorulis Jan 2016

Historical Riparian Vegetation Changes In Eastern Nsw, Angus Skorulis

Science, Medicine & Health - Honours Theses

Changes in the amount of riparian vegetation can vary significantly over large spatial extents, and this variation is influenced by an array of factors. Riparian vegetation is an important component of riverine ecosystems and acts as a filter for terrestrial runoff, a control on bank stability and a key habitat area. Following European settlement in New South Wales (NSW) Australia in the late 18th century, extensive areas of floodplain and riparian vegetation were cleared to allow farming of the rich alluvial soil with close proximity to a water supply. As a result of broad scale vegetation clearing, the extent …


Evaluation Of Soil As A Risk Indicator For Human Leptospirosis In Coastal, Rural Ecuador, Chad Allen Weddell Sep 2015

Evaluation Of Soil As A Risk Indicator For Human Leptospirosis In Coastal, Rural Ecuador, Chad Allen Weddell

USF Tampa Graduate Theses and Dissertations

Leptospirosis, a zoonotic disease caused by pathogenic spirochete bacteria (family Leptospiraceae, genus Leptospira), is endemic in developing tropical regions of the world. It occurs in epidemics and is endemic in Ecuador where environmental conditions are ideal for maintenance. The role of soil as a long term reservoir has been previously been documented. Geographic Information System (GIS) and Remote Sensing (RS) technology was used in our study to further explore the role of soil as an environmental reservoir and its potential use as a static risk indicator for disease. Red, Green, Blue (RGB) spectral band data from known leptospire …


Ground-Truthing Maxent In East Texas Rivers, David F. Ford May 2013

Ground-Truthing Maxent In East Texas Rivers, David F. Ford

Biology Theses

Unionid mussels are a guild of freshwater, sedentary filter-feeders, which play a critical role in freshwater systems. Mussels are currently experiencing a global decline in both species richness and abundance, due to invasive species, human alteration of water systems, and climate change. In North America, which is considered to have the highest global diversity of bivalve species, native mussels are currently declining rapidly with at least 37 species considered to already be extinct. If extant mussel species are to be preserved, then it is vital that conservation efforts be prioritized towards areas in which they are likely to be found. …


Hyperspectral Remote Sensing Of Water Quality In Lake Atitlan, Guatemala, Africa Ixmucane Flores Cordova Jan 2013

Hyperspectral Remote Sensing Of Water Quality In Lake Atitlan, Guatemala, Africa Ixmucane Flores Cordova

Theses

Lake Atitlan in Guatemala is a vital source of drinking water. The deteriorating conditions of water quality in this lake threaten human and ecological health as well as the local and national economy. Given the sporadic and limited measurements available, it is impossible to determine the changing conditions of water quality. The goal of this thesis is to use Hyperion satellite images to measure water quality parameters in Lake Atitlan. For this purpose in situ measurements and satellite-derived reflectance data were analyzed to generate an algorithm that estimated Chlorophyll concentrations. This research provides for the first time a quantitative application …


A Survey Of Invasive Exotic Ants Found On Hawaiian Islands: Spatial Distributions And Patterns Of Association, Camie Frandsen Martin Dec 2012

A Survey Of Invasive Exotic Ants Found On Hawaiian Islands: Spatial Distributions And Patterns Of Association, Camie Frandsen Martin

Theses and Dissertations

An intensive sampling of all ant species encountered on 6 Hawaiian Islands: Big Island, Maui, Oahu, Kauai, Molokai, and Lanai took place between 1988 and 1996. Species presence and absence was recorded at each site. Using remote sensing, variables were added insitu and used throughout my analysis. Species accumulation curves suggest that sampling was comprehensive. There is a significant trend between island area and species richness which validates the Theory of Island Biogeography for invasive species. Islands were found to be significantly nested by area, order, and tourism. Cluster analysis shows a link between elevation, land-use and island, and species …


Nesting In The Clouds: Evaluating And Predicting Sea Turtle Nesting Beach Parameters From Lidar Data, Kristina H. Yamamoto Jan 2012

Nesting In The Clouds: Evaluating And Predicting Sea Turtle Nesting Beach Parameters From Lidar Data, Kristina H. Yamamoto

Electronic Theses and Dissertations

Humans' desire for knowledge regarding animal species and their interactions with the natural world have spurred centuries of studies. The relatively new development of remote sensing systems using satellite or aircraft-borne sensors has opened up a wide field of research, which unfortunately largely remains dependent on coarse-scale image spatial resolution, particularly for habitat modeling. For habitat-specialized species, such data may not be sufficient to successfully capture the nuances of their preferred areas. Of particular concern are those species for which topographic feature attributes are a main limiting factor for habitat use. Coarse spatial resolution data can smooth over details that …


Linking Hydroperiod With Water Use And Nutrient Accumulation In Wetland Tree Islands, Xin Wang May 2011

Linking Hydroperiod With Water Use And Nutrient Accumulation In Wetland Tree Islands, Xin Wang

Open Access Dissertations

Many large terrestrial ecosystems have patterned landscapes as a result of a positive feedback system between vegetation communities and environmental factors. One example is tree island habitats in the Florida Everglades. Although they only occupy a small portion of the Everglades landscape, tree islands are important features as the focus of nutrient accumulation and wildlife biodiversity in the Everglades ecosystem. The hardwood hammock community on the elevated head of tree island habitats can accumulate high phosphorus concentration in the otherwise P-limited Everglades ecosystem. In this dissertation, I examined two hypotheses derived from the chemohydrodynamic nutrient accumulation model, which suggests that …


The Decline Of Fowler's Toad (Bufo Fowleri) In Southern Louisiana: Molecular Genetics, Field Experiments And Landscape Studies, Laura Sanders Vogel Aug 2007

The Decline Of Fowler's Toad (Bufo Fowleri) In Southern Louisiana: Molecular Genetics, Field Experiments And Landscape Studies, Laura Sanders Vogel

University of New Orleans Theses and Dissertations

Two of the most pervasive threats to species biodiversity are invasive species and habitat loss and degradation. Invasive species are often relatively insensitive to disturbance and many expand their range into disturbed and fragmented habitats. This dissertation uses an interdisciplinary approach to investigate how anthropogenic habitat disturbance is precipitating a range expansion in an invasive toad species, Bufo nebulifer, which is driving a decline in its native congener, B. fowleri. I employed a remote sensing and GIS study using historical data to compare changes in the two species distributions and habitat changes, a molecular genetic study to identify interspecific hybrids …


Environmental Variability In The Florida Keys: Impacts On Coral Reef Health, Inia M. Soto Jun 2006

Environmental Variability In The Florida Keys: Impacts On Coral Reef Health, Inia M. Soto

USF Tampa Graduate Theses and Dissertations

I examined the hypothesis that high variability in Sea Surface Temperature (SST) and ocean color are associated with higher coral cover and slower rates of decline of coral cover within the Florida Keys National Marine Sanctuary (FKNMS). Synoptic SST time series maps, covering the period 1994-2005, were constructed for the FKNMS with data collected using the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellite sensors. The SST data were compared with coral cover time series assessments at 36 sites conducted by the Coral Reef and Evaluation Monitoring Program (CREMP; 1996-2005), sponsored by the Environmental Protection …


Censusing And Modeling The Dynamics Of A Population Of Eastern Hemlock (Tsuga Canadensis L.) Using Remote Sensing, W. Robert Lamar Dec 2003

Censusing And Modeling The Dynamics Of A Population Of Eastern Hemlock (Tsuga Canadensis L.) Using Remote Sensing, W. Robert Lamar

Graduate Theses, Dissertations, and Problem Reports

A population of eastern hemlock (Tsuga canadensis L.) was censused from the ground using traditional field methods and from the air using large scale, high-resolution, aerial imagery in the early spring of 1997, 1998 and 1999. A manual crown survey map of the population, prepared from aerial imagery, was compared to a traditional field census. Over 60% of the individuals measured on the ground were not detected in the aerial census. Tree size, crown density and crown position all played roles in determining a crown's visibility from the air. Nearly all large, upper canopy hemlocks were visible in the aerial …


Linear Unmixing Of Hyperspectral Signals Via Wavelet Feature Extraction, Jiang Li Dec 2002

Linear Unmixing Of Hyperspectral Signals Via Wavelet Feature Extraction, Jiang Li

Theses and Dissertations

A pixel in remotely sensed hyperspectral imagery is typically a mixture of multiple electromagnetic radiances from various ground cover materials. Spectral unmixing is a quantitative analysis procedure used to recognize constituent ground cover materials (or endmembers) and obtain their mixing proportions (or abundances) from a mixed pixel. The abundances are typically estimated using the least squares estimation (LSE) method based on the linear mixture model (LMM). This dissertation provides a complete investigation on how the use of appropriate features can improve the LSE of endmember abundances using remotely sensed hyperspectral signals. The dissertation shows how features based on signal classification …