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Dissertations / Theses on the topic 'Aerial and Remote Sensing Archaeology'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Aqdus, Syed Ali. "Airborne multispectral and hyperspectral remote sensing techniques in archaeology a comparative study /." Thesis, Thesis restricted. Connect to e-thesis to view abstract, 2009. http://theses.gla.ac.uk/812/.

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Thesis (Ph.D.) - University of Glasgow, 2009.<br>Ph.D. thesis submitted to the Faculty of Physical Sciences, Department of Geographical and Earth Sciences and the Faculty of Arts, Department of Archaeology, University of Glasgow, 2009. Includes bibliographical references. Print version also available.

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2

Cooke, Sarah. "Using remote sensing and aerial archaeology to detect pit house features in Worldview-2 satellite imagery. : A case study for the Bridge River archaeological pit house village in south-central British Columbia, Canada." Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-25520.

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It is well known that archaeological sites are important sources for understanding past human activity. However, those sites yet to be identified and further investigated are under a great risk of being lost or damaged before their archaeological significance is fully recognized. The aim of this research was to analyze the potential use of remote sensing and aerial archaeology techniques integrated within a geographic information system (GIS) for the purpose of remotely studying pit house archaeology. As pit house archaeological sites in North America have rarely been studied with a focus in r

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3

Simpson, Andrew David. "DEVELOPMENT OF AN UNMANNED AERIAL VEHICLE FOR LOW-COST REMOTE SENSING AND AERIAL PHOTOGRAPHY." UKnowledge, 2003. http://uknowledge.uky.edu/gradschool_theses/191.

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The paper describes major features of an unmanned aerial vehicle, designed undersafety and performance requirements for missions of aerial photography and remotesensing in precision agriculture. Unmanned aerial vehicles have vast potential asobservation and data gathering platforms for a wide variety of applications. The goalof the project was to develop a small, low cost, electrically powered, unmanned aerialvehicle designed in conjunction with a payload of imaging equipment to obtainremote sensing images of agricultural fields. The results indicate that this conceptwas feasible in obtaining

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4

Nesbit, Paul R. "Uninhabited Aerial Vehicles and Structure from Motion| A fresh approach to photogrammetry." Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1526938.

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<p> Three-dimensional mapping and modeling can contribute to knowledge about the real world. Techniques are largely driven by available technology and typically involve expensive equipment and expert skill. Recent advances have led to low-cost remotely sensed data collection and generation of 3D terrain models using Uninhabited Aerial Vehicles (UAV) and Structure from Motion (SfM) processing software. This research presents a low-cost alternative to 3D mapping by pairing UAV collection methods with three SfM processing techniques. Surface models are generated from the same image set captured f

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Sivarajan, Saravanan. "Estimating Yield of Irragated Potatoes Using Aerial and Satellite Remote Sensing." DigitalCommons@USU, 2011. http://digitalcommons.usu.edu/etd/1033.

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Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to its ability to detect crop growth conditions on spatial and temporal scales in a cost effective manner. Many empirical relationships have been established in the past between spectral vegetation indices and leaf area index, fractional ground cover, and crop growth rates for different crops through ground sampling. Remote sensing-based vegetation index (VI) yield models using airborne and satellite data have been developed only for grain crops like barley, corn, wheat, and sorghum. So it becomes

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6

Hayes, Austin Craig. "Evaluating the potential of aerial remote sensing in flue-cured tobacco." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/90296.

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Flue-cured tobacco (Nicotiana tabacum L.) is a high value-per-acre crop that is intensively managed to optimize the yield of high quality cured leaf. Aerial remote sensing, specifically unmanned aerial vehicles (UAVs), present flue-cured tobacco producers and researchers with a potential tool for scouting and crop management. A two-year study, conducted in Southside Virginia at the Southern Piedmont Agricultural Research and Extension Center and on commercial farms, assessed the potential of aerial remote sensing in flue-cured tobacco. The effort encompassed two key objectives. First, examine

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Sivarajan, Saravanan. "Estimating Yield of Irrigated Potatoes Using Aerial and Satellite Remote Sensing." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1049.

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Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to its ability to detect crop growth conditions on spatial and temporal scales in a cost effective manner. Many empirical relationships have been established in the past between spectral vegetation indices and leaf area index, fractional ground cover, and crop growth rates for different crops through ground sampling. Remote sensing-based vegetation index (VI) yield models using airborne and satellite data have been developed only for grain crops like barley, corn, wheat, and sorghum. So it becomes

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8

Demiraslan, Tugay. "Estimation of DBH Using Tree Variables Derived from Aerial LiDAR for Ford Forest, Baraga, Michigan." Thesis, Michigan Technological University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13422276.

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<p> This study implemented LiDAR (Light Detection and Ranging) remote sensing technology and applied ITD (Individual Tree Detection) methods as an approach to estimate some essential tree variables, such as DBH (Diameter at Breast Height), height, volume, and biomass for Ford Forest Research Center in Upper Peninsula, Michigan. There were 34 deciduous (1 bigtooth aspen, 9 red oaks, 20 sugar maples, 2 white birches, and 2 yellow birches) and 17 coniferous (2 eastern hemlocks, 11 red pines, and 4 white pines) subject tree species. There were two different available LiDAR datasets from the same a

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9

Howard, Donald Benton. "Remote sensing, processing and transmission of data for an unmanned aerial vehicle." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA283104.

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10

Perry, John Hendrix. "A synthesized directly georeferenced remote sensing technique for small unmanned aerial vehicles." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0025070.

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11

Teterukovskiy, Alexei. "Computational statistics with environmental and remote sensing applications /." Umeå : Dept. of Forest Economics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s277.pdf.

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12

Valero, Pérez Mario Miguel. "Infrared image processing tools for automated aerial remote sensing of active wildland fires." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/671010.

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Forest fires are natural phenomena essential for ecosystem balance. However, their impact on society is increasing. Emergency managers are facing unprecedented crises producing massive evacuations, numerous casualties and economic losses in the order of billions of dollars. At the same time, fire scientists around the world are struggling to improve our understanding of wildfire dynamics, which is incomplete at present. Extensive large-scale experimental campaigns have been designed, funded and implemented in recent years to study fire behaviour. Furthermore, operational fire spread simulators

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13

Di, Long. "Cognitive Formation Flight in Multi-Unmanned Aerial Vehicle-Based Personal Remote Sensing Systems." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/985.

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This work introduces a design and implementation of using multiple unmanned aerial vehicles (UAVs) to achieve cooperative formation flight based on the personal remote sensing platforms developed by the author and the colleagues in the Center for Self-Organizing and Intelligent Systems (CSOIS). The main research objective is to simulate the multiple UAV system, design a multi-agent controller to achieve simulated formation flight with formation reconfiguration and real-time controller tuning functions, implement the control system on actual UAV platforms and demonstrate the control strategy an

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Jensen, Austin M. "Innovative Payloads for Small Unmanned Aerial System-Based Personal Remote Sensing and Applications." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/2192.

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Remote sensing enables the acquisition of large amounts of data, over a small period of time, in support of many ecological applications (i.e. precision agriculture, vegetation mapping, etc.) commonly from satellite or manned aircraft platforms. This dissertation focuses on using small unmanned aerial systems (UAS) as a remote sensing platform to collect aerial imagery from commercial-grade cameras and as a radio localization platform to track radio-tagged sh. The small, low-cost nature of small UAS enables remotely sensed data to be captured at a lower cost, higher spatial and temporal resolu

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15

ioannidis, ioannis. "Unmanned Aerial Vehicles and remote sensing in search and rescue missions in Sweden." Thesis, KTH, Fastigheter och byggande, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266775.

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This paper gives a thοrοugh lοοk in the use οf Unmanned Aerial Vehicles (UAV) in search and rescue missiοns. The οbjective is tο identify, thrοugh a literature review, all types οf UAV, the available remοte sensοrs that can be mοunted in a UAV and what type οf data each sensοr prοvides, the methοdοlοgy οn flight planning and what is the regulatοry framewοrk, guidelines and limitatiοns, οf UAV flight in sοme οf the biggest cοuntries wοrldwide and in specific fοr the Eurοpean Uniοn and Sweden. Alsο, a brief research in the field οf machine learning was dοne in οrder tο identify the pοssibilities

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16

Noonan, Andrea L. "Flight plan generation for unmanned aerial vehicles." Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/385.

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17

Koc, Ayten. "Remote Sensing Study Of Surgu Fault Zone." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606611/index.pdf.

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The geometry, deformation mechanism and kinematics of the S&uuml<br>rg&uuml<br>Fault Zone is investigated by using remotely sensed data including Landsat TM and ASTER imagery combined with SRTM, and stereo-aerial photographs. They are used to extract information related to regional lineaments and tectono-morphological characteristics of the SFZ. Various image processing and enhancement techniques including contrast enhancement, PCA, DS and color composites are applied on the imagery and three different approaches including manual, semi automatic and automatic lineament extraction methods are f

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18

Swetnam, Tyson L. "Cordilleran forest scaling dynamics and disturbance regimes quantified by aerial lidar." Thesis, The University of Arizona, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3605921.

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<p> Semi-arid forests are in a period of rapid transition as a result of unprecedented landscape scale fires, insect outbreaks, drought, and anthropogenic land use practices. Understanding how historically episodic disturbances led to coherent forest structural and spatial patterns that promoted resilience and resistance is a critical part of addressing change. Here my coauthors and I apply metabolic scaling theory (MST) to examine scaling behavior and structural patterns of semi-arid conifer forests in Arizona and New Mexico. We conceptualize a linkage to mechanistic drivers of forest assembl

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19

Guerra, Hernández Juan. "Applicability of advanced remote sensing technologies to support forest management." Doctoral thesis, ISA/UL, 2018. http://hdl.handle.net/10400.5/17507.

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Tese de Doutoramento - Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia<br>Forest ecosystems provide multiple wood and non-wood forest products and services that are crucial for the socio-economic development of rural areas. In this context, current methods of estimating variables of interest in forest ecosystems should be improved due to new demands for information related to sustainable forest management. Advanced remote sensing (RS) technologies provide data that will address the increasing demands for information and support the subsequent development of predi

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20

Jensen, Austin M. "gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing." DigitalCommons@USU, 2009. https://digitalcommons.usu.edu/etd/497.

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Remote sensing helps many applications like precision irrigation, habitat mapping, and traffic monitoring. However, due to shortcomings of current remote sensing platforms - like high cost, low spatial, and temporal resolution - many applications do not have access to useful remote sensing data. A team at the Center for Self-Organizing and Intelligent Systems (CSOIS) together with the Utah Water Research Laboratory (UWRL) at Utah State University has been developing a new remote sensing platform to deal with these shortcomings in order to give more applications access to remote sensing data. T

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21

Sahar, Liora. "Using remote-sensing and gis technology for automated building extraction." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37231.

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Extraction of buildings from remote sensing sources is an important GIS application and has been the subject of extensive research over the last three decades. An accurate building inventory is required for applications such as GIS database maintenance and revision; impervious surfaces mapping; storm water management; hazard mitigation and risk assessment. Despite all the progress within the fields of photogrammetry and image processing, the problem of automated feature extraction is still unresolved. A methodology for automatic building extraction that integrates remote sensing sources an

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22

Jaafar, Jasmee. "An evaluation of the generation and potential applications of digital surface models." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326567.

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23

Scott, Kevon K. "Occlusion-Aware Sensing and Coverage in Unmanned Aerial Vehicle (UAV) Networks." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479816954496473.

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24

Strutt, Michael A. "Rediscovering the Dead: Practical Applications of Remote Sensing in Historic Cemeteries." W&M ScholarWorks, 1991. https://scholarworks.wm.edu/etd/1539625656.

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25

Wijesingha, Jayan [Verfasser]. "Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing / Jayan Sri Jeewantha Wijesingha." Kassel : Universitätsbibliothek Kassel, 2020. http://d-nb.info/1209713527/34.

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Wijesingha, Jayan Sri Jeewantha [Verfasser]. "Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing / Jayan Sri Jeewantha Wijesingha." Kassel : Universitätsbibliothek Kassel, 2020. http://d-nb.info/1209713527/34.

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27

Holmström, Hampus. "Data acquisition for forestry planning by remote sensing based sample plot imputation /." Umeå : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2001. http://epsilon.slu.se/avh/2001/91-576-6086-7.pdf.

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28

Thompson, James. "Identifying Subsurface Tile Drainage Systems Utilizing Remote Sensing Techniques." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290141705.

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29

Park, Keith Marron. "The global-to-local search method: A systematic search procedure that uses the context of the textured layout to locate and detect low-contrast targets in aerial images." CSUSB ScholarWorks, 1993. https://scholarworks.lib.csusb.edu/etd-project/700.

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30

Teasdale, Gregg N. "Satellite and aerial imaging in characterization, hydrologic analysis and modeling of inland watersheds and streams." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Fall2005/G%5FTeasdale%5F090205.pdf.

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31

Anishchenko, Ilya. "Design, Development, and Validation of a High-Performance Tilt-Frame Unmanned Aerial System for Landing in Tree Orchards." Thesis, University of California, Davis, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10749568.

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<p> Huanglongbing (HLB) is an incurable bacterial disease that kills citrus trees and threatens to decimate California's $2.2 billion citrus industry. A solution for limiting the spread of HLB is to rapidly detect infected trees with a chemical sensor equipped Unmanned Aerial System (UAS), which lands within tree proximity and deploys an extendable boom for air-sample collection. The Agricultural UAS project is a multidisciplinary engineering effort to conduct chemical sample collection and analysis in remote locations, to study a tilt-frame UAS concept performance, and to test a novel Propell

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Kendler, Johnathan M. "Evaluating methods for implementing photogrammetric sensor platforms with various Lidar components for use with close and mid-range particle detection systems." abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1460763.

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Coopmans, Calvin. "Architecture, Inertial Navigation, and Payload Designs for Low-Cost Unmanned Aerial Vehicle-Based Personal Remote Sensing." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/692.

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This thesis presents work done towards a Personal Remote Sensing (PRS) system: small Unmanned Aerial Vehicles (UAVs) with electronic, control, and sensing subsystems. Based on papers presented to conferences (AutoTestCon2008 and MESA2009), as well as other work on PRS, multiple levels of engineering are detailed: complex multi-UAV data flow; attitude estimation filters; real-time microprocessor functionality; and small, mobile power systems. Wherever possible, Open-Source tools and designs have been used, modified, or studied, providing excellent cost to performance ratios in most cases. Fi

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Kara, Alex. "CHAAHK: A Spatial Simulation Model of the Maya Elevated Core Region." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1544096507233363.

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35

Buckley, Craig. "Photomosaicing and automatic topography generation from stereo aerial photography." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/790.

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36

Potter, Thomas Noel 1959. "The use of multispectral aerial video to determine land cover for hydrological simulations in small urban watersheds." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/291381.

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Airborne multispectral video was evaluated as a tool for obtaining urban land cover information for hydrological simulations. Land cover data was obtained for a small urban watershed in Tucson, Arizona using four methods: multispectral aerial video (2 meter and 4 meter pixel resolution), National High Altitude Photography (NHAP), multispectral satellite imagery from Systeme Pour l'Observation de la Terre (SPOT), and by conventional survey. A semi-automated land cover classification produced four classes: vegetation, buildings, pavement, and bare soil. The land cover data from each classificati

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Henderson, Caleb Aleksandr. "Identification of Disease Stress in Turfgrass Canopies Using Thermal Imagery and Automated Aerial Image Analysis." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103621.

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Remote sensing techniques are important for detecting disease within the turfgrass canopy. Herein, we look at two such techniques to assess their viability in detecting and isolating turfgrass diseases. First, thermal imagery is used to detect differences in canopy temperature associated with the onset of brown patch infection in tall fescue. Sixty-four newly seeded stands of tall fescue were arranged in a randomized block design with two runs with eight blocks each containing four inoculum concentrations within a greenhouse. Daily measurements were taken of the canopy and ambient temperature

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Reames, Steve. "Detecting the Presence of Disease by Unifying Two Methods of Remote Sensing." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3120/.

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There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change-detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. Methods of data collection included the gathering of images produ

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Bennett, Rebecca. "Archaeological remote sensing : visualisation and analysis of grass-dominated environments using airborne laser scanning and digital spectral data." Thesis, Bournemouth University, 2011. http://eprints.bournemouth.ac.uk/20459/.

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The use of airborne remote sensing data for archaeological prospection is not a novel concept, but it is one that has been brought to the forefront of current work in the discipline of landscape archaeology by the increasing availability and application of airborne laser scanning data (ALS). It is considered that ALS, coupled with imaging of the non-visible wavelengths using digital spectral sensors has the potential to revolutionise the field of archaeological remote sensing, overcoming some of the issues identified with the most common current technique of oblique aerial photography. However

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Johnson, Ryan L., and University of Lethbridge Faculty of Arts and Science. "Airborne remote sensing of forest leaf area index in mountainous terrain." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2000, 2000. http://hdl.handle.net/10133/90.

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Leaf area index (LAI) provides forestry information that is important for regional scale ecological models and in studies of global change. This research examines the effects of mountainous terrain on the radiometric properties of multispectral CASI imagery in estimating ground-based optical measurements of LAI, obtained using the TRAC and LAI- 2000 systems. Field and image data were acquired summer 1998 in Kananaskis, Alberta, Canada. To account for the influence of terrain a new modified approach using the Li and Strahler Geometric Optical Mutual Shadowing (GOMS) model in 'multiple forward

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Metzler, Jacob W. "Use of Multi-temporal IKONOS and LANDSAT ETM+ Satellite Imagery to Determine Forest Stand Conditions in Northern Maine." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/MetzlerJW2004.pdf.

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Han, Yiding. "An Autonomous Unmanned Aerial Vehicle-Based Imagery System Development and Remote Sensing Images Classification for Agricultural Applications." DigitalCommons@USU, 2009. https://digitalcommons.usu.edu/etd/513.

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This work concentrates on the topic of remote sensing using a multispectral imag-ing system for water management and agriculture applications. The platform, which is alight-weight inexpensive runway-free unmanned aerial vehicle (UAV), namely, AggieAir, ispresented initially. A major portion of this work focuses on the development of a light-weight multispectral imager payload for the AggieAir platform, called GhostFoto. Theimager is band-recongurable, covering both visual red, green, and blue (RGB) and nearinfrared (NIR) spectrum, and interfaced with UAV on-board computer. The developmentof th

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Haghighattalab, Atena. "High-throughput phenotyping of large wheat breeding nurseries using unmanned aerial system, remote sensing and GIS techniques." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34486.

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Doctor of Philosophy<br>Department of Geography<br>Douglas G. Goodin<br>Jesse A. Poland<br>Kevin Price<br>Wheat breeders are in a race for genetic gain to secure the future nutritional needs of a growing population. Multiple barriers exist in the acceleration of crop improvement. Emerging technologies are reducing these obstacles. Advances in genotyping technologies have significantly decreased the cost of characterizing the genetic make-up of candidate breeding lines. However, this is just part of the equation. Field-based phenotyping informs a breeder’s decision as to which lines move forwar

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Suiter, Ashley E. "REMOTE SENSING BASED DETECTION OF FORESTED WETLANDS: AN EVALUATION OF LIDAR, AERIAL IMAGERY, AND THEIR DATA FUSION." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1636.

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Multi-spectral imagery provides a robust and low-cost dataset for assessing wetland extent and quality over broad regions and is frequently used for wetland inventories. However in forested wetlands, hydrology is obscured by tree canopy making it difficult to detect with multi-spectral imagery alone. Because of this, classification of forested wetlands often includes greater errors than that of other wetlands types. Elevation and terrain derivatives have been shown to be useful for modelling wetland hydrology. But, few studies have addressed the use of LiDAR intensity data detecting hydrology

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Browning, Dawn M. "Woody Plant Dynamics in a Sonoran Desert Ecosystem across Scales: Remote Sensing and Field Perspectives." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195333.

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Historic land uses impose discernable legacy effects that may influence ecosystem function, a concern of particular importance in actively managed landscapes. In recent history (ca. 150 years) tree and shrub abundance has increased at the expense of native grasses in savannas and grasslands. The magnitude and patterns of change are spatially heterogeneous, highlighting the need for analytical approaches spanning multiple spatial scales, from individual plants to patches to landscapes. The overarching goal of this dissertation was to explore long-term dynamics associated with woody plant encr

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Erikson, Mats. "Segmentation and classification of individual tree crowns : in high spatial resolution aerial images /." Uppsala : Centre for Image Analysis, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/s320.pdf.

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Niu, Xutong. "Highway extraction from high resolution aerial photography using a geometric active contour model." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084.

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Liu, Yang. "Remote Sensing of Forest Structural Changes due to Shale Gas Extraction in Muskingum Watershed." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535703702856946.

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Blinn, Christine Elizabeth. "Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33656.

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The overall objective of this study was to determine if remotely sensed data could be used to model scenic beauty. Terrestrial digital images from within forest stands located in Prince Edward Gallion State Forest near Farmville, Virginia were rated for their scenic beauty by a group of students to obtain scenic beauty estimates (SBEs). Since the inter-rater reliability was low for the SBEs, they were not used in the modeling efforts. Instead, stand parameters (collected on tenth acre plots) that have been used in scenic beauty prediction models, like mean diameter at breast height (dbh), wer

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Wolters, Dustin Joseph. "Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

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