Dissertations / Theses on the topic 'Aerial photography in hydrology'
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Wolf, Eric B. "Low-cost large scale aerial photography and the Upland South Folk Cemetery a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2006. http://www.nwmissouri.edu/library/theses/WolfEricB/index.htm.
Full textThe full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on January 25, 2008) Includes bibliographical references.
Richards, Daniel L. "Open source UAV platform development for aerial photography." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1587919.
Full textAerial photography is an important layer in Geographic Information Systems (GISs), and generally provides the base layer from which many other digital map layers are derived. Capturing these photos from a traditional full-sized airplane is a complex and expensive process. The recent development of Unmanned Aerial Vehicles (UAVs) and associated technology are providing an alternative to the traditional aerial mapping process. UAVs produced by popular commercial vendors are effective at capturing photos, but are highly expensive to acquire, and equally expensive to maintain.
This research project demonstrates the development and successful implementation of a relatively inexpensive ($2000) unmanned aerial vehicle capable of acquiring high-resolution digital aerial photography. The UAV was developed using open source technology and commercially available components. The methods outlined encompass the platform selection, component inventory, design, construction, configuration, implementation, and testing of the UAV, as well as an analysis of the photography produced by the process. This approach can be used by others to implement similar UAV projects.
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.
Full textGurtner, Alex. "Investigation of fisheye lenses for small UAV aerial photography." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19323/.
Full textBuckley, Craig. "Photomosaicing and automatic topography generation from stereo aerial photography." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/790.
Full textGifford, Eric Allan 1965. "Hough transform extraction of cartographic fiducial marks from aerial photography." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277903.
Full textGombos, Andrew David. "DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/75.
Full textFu, Youtong. "Use Of Small Format Aerial Photography in NPS Pollution Control Applications." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26346.
Full textPh. D.
Wigmore, Oliver Henry Wigmore. "Assessing Spatiotemporal Variability in Glacial Watershed Hydrology: Integrating Unmanned Aerial Vehicles and Field Hydrology, Cordillera Blanca, Peru." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471854919.
Full textTaylor, Jeremy. "Iron Age and Roman landscapes in the East Midlands : a case study in integrated survey." Thesis, Durham University, 1996. http://etheses.dur.ac.uk/1566/.
Full textMillinor, William A. "Digital Vegetation Delineation on Scanned Orthorectified Aerial Photography of Petersburg National Battlefield." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20001123-131211.
Full textI developed a new methodology to produce an orthorectified mosaic and a vegetation database of Petersburg National Battlefield using mostly digital methods. Both the mosaic and the database meet National Map Accuracy Standards and proved considerably faster than traditional aerial photograph interpretation methods. I classified vegetation polygons to the formation level using the Nature Conservancy?s National Vegetation Classification System. Urban areas were classified using Mitchell?s Classification Scheme for Urban Forest Mapping with Small-Scale Aerial Photographs. This method reduced the production time by 2/3, compared to traditional methods. It also reduced the chance of user error because re-tracing of the linework is not required.
My method started with scanning 75 aerial color IR photos, provided by Petersburg National Battlefield, at 600 dpi. Erdas Imagine was used to rectify the images using United States Geological Service (USGS) Digital Elevation Models (DEM) and black and white USGS Digital Orthophoto Quarter Quadrangles (DOQQ) as reference. The images were then mosaiced to create a seamless color infrared orthorectified basemap of the park. The vegetation polygons were drawn onscreen using ArcMap from Environmental Systems Research Institute, Inc. (ESRI) with the color, orthorectified mosaic as a background image. Stereo pairs of the aerial photos were referenced as needed for clarification of the vegetation. I used a minimum mapping unit (mmu) of 0.2 hectares, which exceeds guidelines defined by the United States Geological Survey ? National Park Service Vegetation Mapping Program. This methodology is easily learned quickly and has already been applied to several other studies.
The production of an orthorectified mosaic, created during the process, from the aerial photographs greatly increases the value of the photographs at little additional cost to the user. The orthorectified basemap can then be used as a backdrop for existing data layers or it can be used to create new GIS data layers. I used a minimum mapping unit (mmu) of 0.2 hectare, which exceeds guidelines defined by the United States Geological Survey-National Park Service Vegetation Mapping Program
Traditionally, vegetation polygons are delineated on acetate for each photograph. The linework on the acetates is then transferred to a basemap using a zoom transfer scope or other transfer instrument. The linework is traced again to digitize it for use in a GIS program. This process is time consuming, and the linework is drawn three times. The redundant tracing increases the chance of user error. My new methodology requires that polygons be delineated only once. I wanted to avoid using the zoom transfer scope and to avoid the redundant linework.
A total of 228 polygons were delineated over 20 separate vegetation and land cover classes with an overall thematic accuracy of 87.42% and a Kappa of .8545. Positional accuracy was very good with a RMSE of 1.62 meters in the x direction and 2.81 meters in the y direction. The Kappa and RMSE values compare favorably with accuracies obtained using traditional vegetation mapping methods.
Deriu, Davide. "The photogenic city : aerial photography and urban visions in Europe, 1914-1945." Thesis, University College London (University of London), 2004. http://discovery.ucl.ac.uk/1446792/.
Full textGrotefendt, Richard. "Accurate and cost-effective natural resource data from super large scale aerial photography /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5454.
Full textMeadows, P. L. "The applications of aerial photography, photogrammetry and photo-interpretation in the planning process." Master's thesis, Faculty of Engineering and the Built Environment, 2021. http://hdl.handle.net/11427/33400.
Full textNiu, 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.
Full textValinger, John. "Automatic rooftop segment extraction using point clouds generated from aerial high resolution photography." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119123.
Full textBrimicombe, A. J. "Uncertainty and fitness-for-use in handling aerial photographic interpretive data in geographical information systems." Thesis, Hong Kong : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B14394820.
Full textKorpela, Ilkka. "Individual tree measurements by means of digital aerial photogrammetry." Helsinki : Finnish Forest Research Institute, Finnish Society of Forest Science, 2004. http://catalog.hathitrust.org/api/volumes/oclc/55872310.html.
Full textKnapp, Paul Aaron. "THE USE OF LARGE-SCALE AERIAL PHOTOGRAPHY FOR DETECTING CHANGES OF AN ARID RANGELAND IN SOUTHWESTERN ARIZONA." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/292059.
Full textEdwards, Esther. "An investigation into the use of aerial digital photography for monitoring coastal sand dunes." Thesis, Bath Spa University, 2001. http://researchspace.bathspa.ac.uk/1442/.
Full textBleier, Mary F. "Use of prior distributions from aerial photographs in forest inventory." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41543.
Full textMaster of Science
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.
Full textSmith, Scott R. "Aerial perspective and geography : an historical look at the use of aircraft to gain a sense of place /." Abstract Full Text (HTML) Full Text (PDF), 2009. http://eprints.ccsu.edu/archive/00000575/02/2016FT.htm.
Full textThesis advisor: Cynthis Pope. "... in partial fulfillment of the requirements for the degree of Master of Science in Geography." Includes bibliographical references (leaves 77-81). Also available via the World Wide Web.
Baxter, Kieran Andrew. "Topography and flight : the creative application of aerial photography and digital visualisation for landscape heritage." Thesis, University of Dundee, 2017. https://discovery.dundee.ac.uk/en/studentTheses/e22373db-adee-4bb1-9fbe-43691816ce85.
Full textFyfield, Paul Hagen. "Transportation and Land Use Patterns: Monitoring Urban Change Using Aerial Photography, Portland, Oregon 1925-1945." PDXScholar, 2003. https://pdxscholar.library.pdx.edu/open_access_etds/2242.
Full textKunz, Matthias. "Elevation changes of mountain glaciers in the Antarctic Peninsula using ASTER-controlled archival aerial photography." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2392.
Full textYameogo, Dieudonné. "Hydrogéologie des formations fissurées de la partie sud du plateau Mossi entre le Nazino et le Nakambe (région de Kombissiri-Manga), Burkina-Faso." Phd thesis, Grenoble 1, 1988. http://tel.archives-ouvertes.fr/tel-00756428.
Full textMetzler, 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.
Full textDicks, Steven E. "Satellite-derived surface temperatures and their relationships to land cover, land use, soils and physiography of North-Central Florida." Gainesville, FL, 1986. http://www.archive.org/details/satellitederived00dick.
Full textWilhite, Jerry W. "Use of infrared aerial photographs to identify and assess habitat needed by native fish in rivers." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1445041571&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.
Full textWolters, 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.
Full textHui, Lin Ning. "THE USE OF LARGE SCALE COLOR AERIAL PHOTOGRAPHY TO MONITOR CATTLE GRAZING IN MESQUITE GRASSLANDS, SOUTHERN ARIZONA." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275514.
Full textPotter, 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.
Full textRosenberg, Abigail Stella. "An Evaluation of a UAV Guidance System with Consumer Grade GPS Receivers." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/194506.
Full textHolt, Ryan Samuel. "Three enabling technologies for vision-based, forest-fire perimeter surveillance using multiple unmanned aerial systems /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1894.pdf.
Full textMoore, Sue E. "Cetacean habitats in the Alaskan Arctic /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823707.
Full textWilliams, Allan Robert. "British photographic intelligence during the Second World War : a study of Operation Crossbow." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22046.
Full textBlinn, Christine Elizabeth. "Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33656.
Full textMaster of Science
Pryor, Logan S. "Land-cover mapping in an agriculture zone using simulated Sentinel-2 data." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012, 2012. http://hdl.handle.net/10133/3367.
Full textxi, 90 leaves : col. ill. ; 29 cm
Bredenkamp, Adolf Friedrich Ludwig. "Development and control of a 3-axis stabilised platform." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/380.
Full textAwwad, Waleed Abdulaziz. "Land cover mapping a comparison between manual digitizing and automated classification of black and white historical aerial photography /." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000634.
Full textSpencer, Darren W. "The Unmanned Aerial Systems (UASs) Industry and the Business Impacts of the Evolution of the Federal Regulatory Environment." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7576.
Full textStreckfuss, James A. "Eyes All Over the Sky: The Significance of Aerial Reconnaissance in the First World War." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1333736829.
Full textKoch, Frank Henry Jr. "A Comparison of Digital Vegetation Mapping and Image Orthorectification Methods Using Aerial Photography of Valley Forge National Historical Park." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010417-180334.
Full textIn recent years, mapping software utilizing scanned?or ?softcopy??aerial photographs has become widely available. Using scanned photos of Valley Forge (PA) National Historical Park, I explored some of the latest tools for image processing and computer-based vegetation mapping. My primary objective was to compare different approaches for their efficiency and accuracy. In keeping with the USGS-NPS Vegetation Mapping Program protocol, I classified the park?s vegetation according to The Nature Conservancy?s National Vegetation Classification System (NVCS).
Initially, I scanned forty-nine 1:6000 color-infrared air photos of the area at 600 dpi using an Epson desktop scanner. I orthorectified the images by two different methods. First, I did so on a single-image basis using ERDAS Imagine. In this approach, United States Geological Survey (USGS) Digital Ortho Quarter Quadrangles (DOQQ) and a 10-meter Digital Elevation Model (DEM) served as references for between seven and twelve ground control points per photo. After achieving a root mean square error (RMSE) of less than 1 meter for an image, I resampled it into an orthophoto. I then repeated the process using Imagine Orthobase. Via aerial triangulation, Orthobase generated an RMSE solution for the entire block of images, which I resampled into orthophotos using a batch process.
Positional accuracies were remarkably similar for image mosaics I created from the single-image as well as the Orthobase orthophotos. For both mosaics, planimetric x-coordinate accuracy met the U.S. National Map Accuracy Standard for Class 1 maps, while planimetric y-coordinate accuracy met the Class 2 standard. However, the Orthobase method is faster?reducing process time by 50%?and requires 20% (or less) of the ground control points necessary for the single-image method.
I delineated the park?s vegetation to the formation level of the NVCS. Using ESRI ArcMap, I digitized polygons of homogeneous areas observed from the orthophotos. This on-screen mapping approach was largely monoscopic, though I verified some areas using a scanning stereoscope and the original hard-copy photos. The minimum mapping unit (MMU) was 0.5 acres (ac), smaller than that recommended by the USGS-NPS protocol. Based on field data, thematic accuracy for this map met the National Map Accuracy Standard of 80%. Misestimation of the hydrologic period of certain polygons resulted in some classification errors, as did confusion between evergreen and deciduous vegetation.
In addition to orthophotos, Orthobase creates a stereo block viewable in ERDAS Stereo Analyst, a digital stereoscopic software package. Using Crystal Eyes? eyewear and a high-refresh-rate monitor, a user can observe imagery full screen, three-dimensionally. Features delineated on the images are stored in ESRI shapefile format. I created a preliminary vegetation map at the alliance level of the NVCS with this software. Thematic accuracy of this map will be known when assessment is completed this summer. Notably, the classification scheme has required revision to accommodate the anthropogenically altered landscape of Valley Forge.
Nevertheless, it is clear that Stereo Analyst offers advantages for vegetation and other types of mapping. Stereoscopic view and sharp zoom-in capabilities make photo interpretation straightforward. Because features are delineated directly into a GIS, Stereo Analyst cuts process time by 70% and avoids two steps that can introduce errors in conventional mapping methods (i.e., transfer to map base and digitizing). Perhaps most importantly, joint use of Orthobase and Stereo Analyst allows simultaneous orthophoto creation and GIS data collection; in contrast, the ArcMap approach requires finished orthophotos before features can be delineated. Ultimately, though, both monoscopic and stereoscopic methods have roles in vegetation mapping projects. The level of detail required for the project should determine which technique is most appropriate.
Heer, Richard C. "Estimation of seedling density and evaluation of woody competition in young loblolly pine plantations using 35mm color aerial photography." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/94464.
Full textM.S.
Wunderly, Martin A. "Defining Zostera marina (Eelgrass) Restoration Sites in Virginia's Coastal Bays with Aerial Images and Bathymetric Mapping." Miami University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=miami1261160088.
Full textAmbardekar, Amol A. "Efficient vehicle tracking and classification for an automated traffic surveillance system." abstract and full text PDF (free order & download UNR users only), 2007. 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:1451111.
Full textEgbert, Joseph M. "Low-Altitude Road Following, Using Strap-Down Cameras on Miniature Aerial Vehicles." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2170.pdf.
Full textForsyth, Aurelia Therese. "Identifying and mapping invasive alien plant individuals and stands from aerial photography and satellite images in the central Hawequa conservation area." University of the Western Cape, 2012. http://hdl.handle.net/11394/5118.
Full textThe Cape Floristic Region, situated at the southern tip of Africa, is one of the world’s most botanically diverse regions. The biodiversity of this region faces various types of threats, which can be divided into three main categories, namely increasing urbanisation, agriculture expansion, and the spread of invasive alien vegetation. It has been shown that botanically diverse areas are more prone to invasion by invasive alien plant (IAP) species. The Hawequa conservation area, in the south-western Cape, is particularly botanically diverse, such that it is very prone to aggressive invasion by IAP species. Therefore, conservation management of the Hawequa conservation area urgently need to map, prioritise and clear IAP species. Due to the topographical complexity of this mountainous area, it is not possible to map the distribution of IAP species throughout the protected area by conventional field methods. Remote sensing may be able to provide a suitable alternative for mapping. The aim of this research was to assess various image classification methods,using two types of high-resolution imagery (colour aerial photography and WorldView-2 satellite imagery), in order to map the distribution of IAP species, including small stands and individuals. Specifically, the study will focus on mapping Pinus and Acacia spp. in a study site of approximately 9 225ha in the Hawequa conservation rea. Supervised classification was performed using two different protocols, namely per-pixel and per-field. For the per-pixel classification Iterative Self-Organising Data Analyses Technique (ISODATA) was used, a method supported by ERDAS Imagine. The per-field (object-based) classification was done using fractal net evolution approach (FNEA), a method supported by eCognition. The per-pixel classification mapped the extent of Pinus and Acacia spp. in the study area as 1 205.8 ha (13%) and 80.1 ha (0.9%) respectively, and the perfield classification as 1 120.9 ha (12.1%) and 96.8 ha (1.1%) respectively. Accuracy assessments performed on the resulting thematic maps generated from these two classification methods had a kappa coefficient of 0.700 for the per-pixel classification and 0.408 for the per-field classification. Even though the overall extent of IAP species for each of these methods is similar, the reliability of the actual thematic maps is vastly different. These findings suggest that mapping IAP species (especially Pinus spp.) stands and individuals in highly diverse natural veld, the traditional per-pixel classification still proves to be the best method when using high-resolution images. In the case of Acacia spp., which often occurs along rivers, it is more difficult to distinguish them from the natural riverine vegetation. Using WorldView-2 satellite images for large areas can be very expensive (approximately R120 per km2 in 2011), but in comparison with the cost of mapping and the subsequent clearing, especially in inaccessible areas, it might be a worthwhile investment. Alternative image sources such as the high resolution digital colour infrared aerial photography must be considered as a good source for mapping IAP species in high altitude areas.
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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