Academic literature on the topic 'Aerial photography in forestry. Aerial photogrammetry'

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Journal articles on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Zagalikis, G., A. D. Cameron, and D. R. Miller. "The application of digital photogrammetry and image analysis techniques to derive tree and stand characteristics." Canadian Journal of Forest Research 35, no. 5 (May 1, 2005): 1224–37. http://dx.doi.org/10.1139/x05-030.

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Ground-based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but these are expensive to carry out. Aerial photography has been used for several decades as a tool in forest management and inventory. However, conventional methods of interpretation are both time-consuming and costly, with results varying among interpreters. With continuing development of personal computer technology, aerial photographs have become more accessible for digital analysis. This paper presents the potential operational use of digitized aerial photographs for the estimation of tree and stand characteristics of two forest plantations of Sitka spruce (Picea sitchensis (Bong.) Carrière) in Scotland. The digitized aerial photographs were processed using softcopy photogrammetry, and image analysis techniques were used for individual tree crown delineation. For the first site the estimations of stand top height, basal area, volume, biomass, and density (–23.7%) were similar to the ground-measured stand characteristics (±10%), whereas for the second site the estimations were less accurate mainly because of the nonoptimal illumination conditions during the acquisition of the aerial photographs.
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Strunk, Jacob, Petteri Packalen, Peter Gould, Demetrios Gatziolis, Caleb Maki, Hans-Erik Andersen, and Robert J. McGaughey. "Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry." Forests 10, no. 5 (May 7, 2019): 397. http://dx.doi.org/10.3390/f10050397.

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Low-cost methods to measure forest structure are needed to consistently and repeatedly inventory forest conditions over large areas. In this study we investigate low-cost pushbroom Digital Aerial Photography (DAP) to aid in the estimation of forest volume over large areas in Washington State (USA). We also examine the effects of plot location precision (low versus high) and Digital Terrain Model (DTM) resolution (1 m versus 10 m) on estimation performance. Estimation with DAP and post-stratification with high-precision plot locations and a 1 m DTM was 4 times as efficient (precision per number of plots) as estimation without remote sensing and 3 times as efficient when using low-precision plot locations and a 10 m DTM. These findings can contribute significantly to efforts to consistently estimate and map forest yield across entire states (or equivalent) or even nations. The broad-scale, high-resolution, and high-precision information provided by pushbroom DAP facilitates used by a wide variety of user types such a towns and cities, small private timber owners, fire prevention groups, Non-Governmental Organizations (NGOs), counties, and state and federal organizations.
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Massada, Avi Bar, Yohay Carmel, Gilad Even Tzur, José M. Grünzweig, and Dan Yakir. "Assessment of temporal changes in aboveground forest tree biomass using aerial photographs and allometric equations." Canadian Journal of Forest Research 36, no. 10 (October 1, 2006): 2585–94. http://dx.doi.org/10.1139/x06-152.

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Studies of forest biomass dynamics typically use long-term forest inventory data, available in only a few places around the world. We present a method that uses photogrammetric measurements from aerial photographs as an alternative to time-series field measurements. We used photogrammetric methods to measure tree height and crown diameter, using four aerial photographs of Yatir Forest, a semi-arid forest in southern Israel, taken between 1978 and 2003. Height and crown-diameter measurements were transformed to biomass using an allometric equation generated from 28 harvested Aleppo pine (Pinus halepensis Mill.) trees. Mean tree biomass increased from 6.37 kg in 1978 to 97.01 kg in 2003. Mean plot biomass in 2003 was 2.48 kg/m2 and aboveground primary productivity over the study period ranged between 0.14 and 0.21 kg/m2 per year. There was systematic overestimation of tree height and systematic underestimation of crown diameter, which was corrected for at all time points between 1978 and 2003. The estimated biomass was significantly related to field-measured biomass, with an R2 value of 0.78. This method may serve as an alternative to field sampling for studies of forest biomass dynamics, assuming that there is sufficient spatial and temporal coverage of the investigated area using high-quality aerial photography, and that the tree tops are distinguishable in the photographs.
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Lendzioch, T., J. Langhammer, and M. Jenicek. "TRACKING FOREST AND OPEN AREA EFFECTS ON SNOW ACCUMULATION BY UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 917–23. http://dx.doi.org/10.5194/isprsarchives-xli-b1-917-2016.

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Airborne digital photogrammetry is undergoing a renaissance. The availability of low-cost Unmanned Aerial Vehicle (UAV) platforms well adopted for digital photography and progress in software development now gives rise to apply this technique to different areas of research. Especially in determining snow depth spatial distributions, where repetitive mapping of cryosphere dynamics is crucial. Here, we introduce UAV-based digital photogrammetry as a rapid and robust approach for evaluating snow accumulation over small local areas (e.g., dead forest, open areas) and to reveal impacts related to changes in forest and snowpack. Due to the advancement of the technique, snow depth of selected study areas such as of healthy forest, disturbed forest, succession, dead forest, and of open areas can be estimated at a 1 cm spatial resolution. The approach is performed in two steps: 1) developing a high resolution Digital Elevation Model during snow-free and 2) during snow-covered conditions. By substracting these two models the snow depth can be accurately retrieved and volumetric changes of snow depth distribution can be achieved. This is a first proof-of-concept study combining snow depth determination and Leaf Area Index (LAI) retrieval to monitor the impact of forest canopy metrics on snow accumulation in coniferous forest within the Šumava National Park, Czech Republic. Both, downward-looking UAV images and upward-looking LAI-2200 canopy analyser measurements were applied to reveal the LAI, controlling interception and transmitting radiation. For the performance of downward-looking images the snow background instead of the sky fraction was used. In contrast to the classical determination of LAI by hemispherical photography or by LAI plant canopy analyser, our approach will also test the accuracy of LAI measurements by UAV that are taken simultaneously during the snow cover mapping campaigns. Since the LAI parameter is important for snowpack modelling, this method presents the potential of simplifying LAI retrieval and mapping of snow dynamics while reducing running costs and time.
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Lendzioch, T., J. Langhammer, and M. Jenicek. "TRACKING FOREST AND OPEN AREA EFFECTS ON SNOW ACCUMULATION BY UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 917–23. http://dx.doi.org/10.5194/isprs-archives-xli-b1-917-2016.

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Airborne digital photogrammetry is undergoing a renaissance. The availability of low-cost Unmanned Aerial Vehicle (UAV) platforms well adopted for digital photography and progress in software development now gives rise to apply this technique to different areas of research. Especially in determining snow depth spatial distributions, where repetitive mapping of cryosphere dynamics is crucial. Here, we introduce UAV-based digital photogrammetry as a rapid and robust approach for evaluating snow accumulation over small local areas (e.g., dead forest, open areas) and to reveal impacts related to changes in forest and snowpack. Due to the advancement of the technique, snow depth of selected study areas such as of healthy forest, disturbed forest, succession, dead forest, and of open areas can be estimated at a 1 cm spatial resolution. The approach is performed in two steps: 1) developing a high resolution Digital Elevation Model during snow-free and 2) during snow-covered conditions. By substracting these two models the snow depth can be accurately retrieved and volumetric changes of snow depth distribution can be achieved. This is a first proof-of-concept study combining snow depth determination and Leaf Area Index (LAI) retrieval to monitor the impact of forest canopy metrics on snow accumulation in coniferous forest within the Šumava National Park, Czech Republic. Both, downward-looking UAV images and upward-looking LAI-2200 canopy analyser measurements were applied to reveal the LAI, controlling interception and transmitting radiation. For the performance of downward-looking images the snow background instead of the sky fraction was used. In contrast to the classical determination of LAI by hemispherical photography or by LAI plant canopy analyser, our approach will also test the accuracy of LAI measurements by UAV that are taken simultaneously during the snow cover mapping campaigns. Since the LAI parameter is important for snowpack modelling, this method presents the potential of simplifying LAI retrieval and mapping of snow dynamics while reducing running costs and time.
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Gagnon, P. A., J. P. Agnard, and C. Nolette. "Evaluation of a soft-copy photogrammetry system for tree-plot measurements." Canadian Journal of Forest Research 23, no. 9 (September 1, 1993): 1781–85. http://dx.doi.org/10.1139/x93-225.

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This article describes and evaluates the application of a soft-copy photogrammetry system to large-scale forest inventories. A specially designed software, developed by the authors, has been investigated in terms of accuracy and general operability. Tests based on 1:1100 color aerial photographs, taken with a 10-m cross-boom system and digitized at resolutions of 300, 450, and 600 dots per inch, confirmed the expected tree-height accuracies of 48, 32, and 24 cm, respectively. This indicates that a photographic scale of 1:800 and a scanning resolution of 800 dots per inch could produce a tree-height precision of the order of 10 cm. The tests have shown that model orientation takes about 15 min; for a tree plot of 24 trees, measurements (height and crown diameter) and observations (species and condition) also take about 15 min. As the important problem of positioning a helicopter over a tree plot has now been solved using global positioning system receivers, the results and information presented in this paper indicate that the existing technology can provide a rigorous and operational photogrammetric system for large-scale forest inventories and regeneration monitoring.
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Vásconez, Norma Lara, and Hernán Chamorro Sevilla. "Uso De Los Sensores Remotos En Mediciones Forestales." European Scientific Journal, ESJ 14, no. 15 (May 31, 2018): 58. http://dx.doi.org/10.19044/esj.2018.v14n15p58.

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To understand the use of remote sensors in forestry measurements, some of the most relevant definitions have been taken from a wide variety that currently exist, therefore, we will say that these generally play a predominant role in the Dasometry and that all The forest resource requires qualitative and quantitative information regarding the state of the forest and its evolution over time, with sampling that follows one of the existing methods. Historically, modern discipline arises with the invention of flight and the first photographs are obtained from a balloon in the years 1858 and 1859, in 1909 and on board the airplane the first photographic observation is acquired. The first aerial camera was developed in 1915 by J.T.C. Moore, starting the interesting way forward in the techniques of aerial photography using modified combat aircraft giving way to what was called systematic aerial photography in the late 50s. The development on a global scale of the first artificial satellites, allowed remote sensing in the middle of the 20th century on board the first satellite placed in orbit is that of the TYROS series in 1960 by NASA, becoming the pioneer in missions of meteorological observation, which also led to the appearance of satellite image processing, using mathematical procedures such as the Fourier transform. During the 70s missions were promoted with the objective of exploring the solar system and the moon; giving rise to the first spatial photographs taken by Alan B. Shepard rudimentary, Subsequently, Apollo-9 was used for the first multi-spectral experiment in which 4 Hasselblad cameras with different filters were installed. On July 23, 1972, the Landsat project appeared with the launch of the first satellite of the ERTS series (Earth Resources Technology Satellite). Google Earth in the 21st century, introduces online web services making remote sensing accessible to all audiences, with many techniques and processes that allow an image of the earth's surface to be obtained remotely captured by remote sensors located on satellites or airplanes that gather the spectral and spatial relations of objects. Interferometric radar synthetic aperture They are used to producing accurate digital models of large areas of land. LiDAR(An acronym for the English Light Detection and Ranging) is a monochrome active sensor, its mode of operation consists of measuring the distance between the sensor and the target. It is less expensive compared to manual inventory is multi-purpose, allows a complete survey of the study area, is more efficient than photogrammetry. The multi-spectral acquisition is based on the collection and analysis of areas or objects that emit or reflect radiation at a higher level than nearby objects. The quality of the information collected remotely, once the correction of errors through georeferencing with the help of specialized programs, will depend on their resolutions: spatial, spectral, radiometric and temporal.
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Arkin, Jeremy, Nicholas C. Coops, Txomin Hermosilla, Lori D. Daniels, and Andrew Plowright. "Integrated fire severity–land cover mapping using very-high-spatial-resolution aerial imagery and point clouds." International Journal of Wildland Fire 28, no. 11 (2019): 840. http://dx.doi.org/10.1071/wf19008.

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Fire severity mapping is conventionally accomplished through the interpretation of aerial photography or the analysis of moderate- to coarse-spatial-resolution pre- and post-fire satellite imagery. Although these methods are well established, there is a demand from both forest managers and fire scientists for higher-spatial-resolution fire severity maps. This study examines the utility of high-spatial-resolution post-fire imagery and digital aerial photogrammetric point clouds acquired from an unmanned aerial vehicle (UAV) to produce integrated fire severity–land cover maps. To accomplish this, a suite of spectral, structural and textural variables was extracted from the UAV-acquired data. Correlation-based feature selection was used to select subsets of variables to be included in random forest classifiers. These classifiers were then used to produce disturbance-based land cover maps at 5- and 1-m spatial resolutions. By analysing maps produced using different variables, the highest-performing spectral, structural and textural variables were identified. The maps were produced with high overall accuracies (5m, 89.5±1.4%; 1m, 85.4±1.5%), with the 1-m classification produced at slightly lower accuracies. This reduction was attributed to the inclusion of four additional classes, which increased the thematic detail enough to outweigh the differences in accuracy.
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Lu, Mei-Kuei, Tzeng Yih Lam, Bo-Hao Perng, and Ho-Tung Lin. "Close-range photogrammetry with spherical panoramas for mapping spatial location and measuring diameters of trees under forest canopies." Canadian Journal of Forest Research 49, no. 8 (August 2019): 865–74. http://dx.doi.org/10.1139/cjfr-2018-0430.

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Measurement of tree attributes is important to collect information for forest management. Close-range photogrammetry with spherical panoramas has seen very little development and applications compared with aerial photography. This study develops methods to extract azimuth, horizontal distance, diameter at breast height, and upper stem diameters of individual trees from spherical panoramas based on (i) the trigonometry principle (TRIGO), (ii) the TRIGO corrected for terrain slope (TRIGOSLP), and (iii) the pinhole camera model (PINHOLE). Twenty-three horizontal point sample plots were randomly established in plantations in Taiwan, for a sample size of 486 trees. Results showed that tree azimuth was accurately and precisely estimated. TRIGO performed the worst in accuracy and precision for all other tree attributes. TRIGOSLP improved the results of TRIGO but had large estimation errors. PINHOLE achieved the best overall precision for all other tree attributes but was slightly inaccurate for estimating upper stem diameters. PINHOLE requires approaching a tree to attach a target of known size but has the ability to extract an almost continuous set of upper stem diameters from the tree, which could improve estimation of tree volume. Thus, PINHOLE could potentially be an alternative measurement system for hard-to-measure tree attributes.
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Remmel, Tarmo K., Kenton W. Todd, and James Buttle. "A comparison of existing surficial hydrological data layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM." Forestry Chronicle 84, no. 6 (December 1, 2008): 850–65. http://dx.doi.org/10.5558/tfc84850-6.

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The current provincial-extent digital elevation model (DEM) and corresponding hydrological maps for Ontario have been produced using traditional photogrammetry and aerial photograph interpretation. This process is labour-intensive and requires visual interpretation of stereo image pairs. The ground surface and small hydrological features may be inaccurately delineated in areas where vegetation is dense or the ground is otherwise shielded from aerial view. In an effort to improve and automate delineation of hydrological features, we examined the behaviour and final products of the D8 flowrouting algorithm in 2 software environments (TAS and TauDEM for ArcGIS) operating on a high spatial resolution DEM derived using canopy-penetrating light detection and ranging (LiDAR) technology in a pilot study in the Romeo Malette Forest (41.25°N, 81.50°W). Filtered LiDAR data points (5-m spacing) were interpolated using IDW, TIN, and splines, each resulting in a 2.5-m spatial resolution DEM. Results demonstrate improved realism in the characterization of surficial hydrology by LIDAR derived products as compared to applying identical algorithms on existing coarser provincial data. Benefits include the ability to represent streams of lower Strahler order to define crisp watershed boundaries, and the more accurate identification of local depressions that form potentially wet sites. This approach identifies wet sites that should be avoided during forest operations (e.g., skidder traffic) and can provide additional information for trail layout, road planning, and water crossings. By increasing the number of uses of LiDAR, the capital investment in these data becomes increasingly palatable for forest companies interested in obtaining detailed plans of their forest holdings. Key words: LiDAR, DEM, OBM, spatial resolution, interpolation, Strahler stream order, flow routing, topographic wetness
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Dissertations / Theses on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Korpela, 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.

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Grotefendt, 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.

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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.

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Thesis (M.S.)--Northwest Missouri State University, 2006.
The 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.
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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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Meadows, 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.

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To date aerial photography and associated photogrammetric and photo-interpretation techniques have played but a limited role in the planning process. In this study their dual role (i) as a base medium and (ii) as a source of data is investigated bearing in mind the requirements of planning data and certain inherent defects of conventional maps in the planning process. Having considered certain pertinent technical aspects of aerial photography and associated techniques, especially modern developments such as orthophotos, use of multi-emulsion photography, automated data extraction and automated data processing techniques, the application of these techniques is discussed in greater detail in respect of the dual role mentioned earlier. Aerial photographs are shown to be of considerable value to the planner as an analytic tool and a powerful source of data when dealing with such topics as feasibility studies, land use, resource surveys, urban and regional research and analysis, urban history, urban and rural administration, site evaluation, transportation and other. branches of engineering, urban sociology and economics, as well as urban aesthetics. Aerial photographic data adequately meets the data requirements of the planning process and furthermore lends itself to modern automatic data processing methods. The modern improved forms of photography, i.e. photomaps, orthophotos, etc. have definite advantages over conventional maps insofar as a base medium in planning is concerned, and the wider use of aerial photographs and products is anticipated when planners become more aware of their universal application and versatility.
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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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Bleier, Mary F. "Use of prior distributions from aerial photographs in forest inventory." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41543.

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Bayesian estimates of gross cubic- foot volume per acre were computed for four stand types (plantation pine, natural pine. hardwood. and mixed wood stands) using aerial photo volume tables as the prior information source. Aerial photographs provided a reliable source of information even though most photographs were nearly five years old. For a given level of precision within a particular stand, Bayesian methods reduced the required field sample size up to 50% using all or half of the prior information available. Those priors which utilized a regression or a regression/topographic correction in the estimation of photo heights required less field information for the given precision level than those priors which used uncorrected or topographic corrected photo heights. In order to obtain meaningful gains in sample size reduction corrections to the estimated photo heights should be made. Although the uncorrected prior produced generally less biased estimates. the reduction in sample size was not as large as that observed using other prior types. Greater gains were attributed to the better accuracy of the prior distribution. Although Bayesian methods are biased, it appeared that these methods tempered severely biased prior distributions. In the hardwood stand for example, the average bias present in the photo volume data amounted to -140%. After combining the prior with the field sample, the greatest average bias was -50%. Bayesian methods performed better than the traditional estimation methods in terms of precision. In a one to one comparison. the Bayes standard error was consistently less than its non-Bayes counterpart. The one exception to this trend was the regression prior from the hardwood stand. The poor performance of the prior was due to the weak height regression correction equation. Modal priors utilized were not subject to the extreme input values for prior distribution development as their conservative empirical prior counterparts were. Less overall variation was observed 1n the estimated values. Under the conditions for mode selection set forth in this project, modal priors provided another good source of prior information.
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Holt, 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.

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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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Pacurari, Doru I. "Evaluation of the use of remotely sensed images to speciate mixed Appalachian forests." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1550.

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Thesis (M.S.)--West Virginia University, 2000.
Title from document title page. Document formatted into pages; contains x, 128 p. : ill. (some col.), maps (some col.) Vita. Includes abstract. Includes bibliographical references (p. 116-121).
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Books on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Korpela, Ilkka. Individual tree measurements by means of digital aerial photogrammetry. Helsinki: Finnish Society of Forest Science ; Finnish Forest Research Institute, 2004.

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Karmazin, A. U. Aviat͡s︡ii͡a︡ v lesnom khozi͡a︡ĭstve. Moskva: "Agropromizdat", 1986.

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E, Read Roger, ed. Manual of aerial photography. London: Focal Press, 1986.

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S, Bethel James, and McGlone J. Chris, eds. Introduction to modern photogrammetry. New York: Wiley, 2001.

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Ciciarelli, John A. A practical guide to aerial photography: With anintroduction to surveying. New York: Van Nostrand Reinhold, 1991.

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A practical guide to aerial photography: With an introduction to surveying. New York: Van Nostrand Reinhold, 1991.

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D, Graham Ron Ph, and Graham Ron Ph D, eds. Manual of aerial survey: Primary data acquisition. Boca Raton, FL: CRC Press/Whittles Publishing, 2002.

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Thung, Heng. The pigeons and the witch doctor: Adventures of a modern map maker. Lancaster, Ohio: Lucky Press, 2003.

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D, Kiser James, ed. Aerial photography and image interpretation. 2nd ed. Hoboken, NJ: John Wiley, 2003.

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Kiser, James D. (James Donald), ed. Aerial photography and image interpretation. 3rd ed. Hoboken: Wiley, 2012.

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Book chapters on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Ciciarelli, John A. "Some Fundamentals of Photogrammetry." In A Practical Guide to Aerial Photography with an Introduction to Surveying, 54–76. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6503-7_4.

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Collier, P. "Photogrammetry/Aerial Photography." In International Encyclopedia of Human Geography, 151–56. Elsevier, 2009. http://dx.doi.org/10.1016/b978-008044910-4.00059-6.

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Aber, James S., Irene Marzolff, and Johannes B. Ries. "Photogrammetry." In Small-Format Aerial Photography, 23–39. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-444-53260-2.10003-1.

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Collier, Peter. "Photogrammetry and Aerial Photography." In International Encyclopedia of Human Geography, 91–98. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102295-5.10583-9.

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"Forestry." In Aerial Photography and Image Interpretation, 405–27. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118110997.ch21.

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Aber, James S., Irene Marzolff, and Johannes B. Ries. "Cameras for Small-Format Aerial Photogrammetry." In Small-Format Aerial Photography, 69–80. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-444-53260-2.10006-7.

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Aber, James S., Irene Marzolff, Johannes B. Ries, and Susan E. W. Aber. "Principles of Photogrammetry." In Small-Format Aerial Photography and UAS Imagery, 19–38. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-812942-5.00003-3.

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Friedman, Erin, Cory Look, and Matthew Brown. "Using UAVs to Manage Archaeological Heritage." In An Archaeology and History of a Caribbean Sugar Plantation on Antigua, 247–64. University Press of Florida, 2020. http://dx.doi.org/10.5744/florida/9781683401285.003.0016.

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This chapter explores the use of UAVs (unmanned aerial vehicles) for the use of archaeological investigations and heritage management at the historic sugar plantation of Betty’s Hope, Antigua. While the acquisition of low flying aerial imagery, such as kite photography, has been common practice within archaeological research, recent software innovations coupling photogrammetry and UAV technologies are providing new tools for exploration. Two different approaches for UAV acquisition are explored in this chapter: the first for use within archaeological excavations and the second for use at studying the landscape. Both have particular implications for heritage management, as the use of structure from motion (SfM) methodology coupled with aerial imagery can be used to produce an accurate 3D surface model of the site that is akin to site scanners and LiDAR technology. The important differences and limitations to these technologies are discussed.
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Conference papers on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Prades, Ignacio J., Jorge Nunez, Fernando Perez, Vincenc Pala, and Roman Arbiol. "Aerial photography restoration using the maximum likelihood estimator (MLE) algorithm." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182866.

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KARLOVSKA, Amanda, Inga GRĪNFELDE, Ina ALSIŅA, Gints PRIEDĪTIS, and Daina ROZE. "PLANT REFLECTED SPECTRA DEPENDING ON BIOLOGICAL CHARACTERISTICS AND GROWTH CONDITIONS." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.045.

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Abstract:
Sustainable and economically based forestry needs modern inventory and monitoring techniques. One of the most common technologies for identification of forest tree species and monitoring of forest growth conditions is the hyperspectral remote sensing. This technology gives an opportunity to economize human resources and time for data collecting and processing. The spectral behaviour of plant leaves depends on number of factors, including environmental background. The aim of this study was to assess the tree reflectance spectra in relation to the growth conditions to take into account potential differences for increasing precision of species identification in Latvian forests and for estimating of forest growth conditions. Remote sensing data were obtained using a specialized aircraft (Pilatus PC-6), which is equipped with a high-performance airborne VNIR pushbroom hyperspectral system (AisaEAGLE). The study area was flown at 1000 m altitude. Data was recorded in the 400–970 nm spectral range, spectral resolution was 3.3 nm, ground resolution 0.5 m. Data processing consisted of manually selecting trees with a recognizable tree crowns in the airborne images. Tree centres were adjusted by putting them in the accurate position according to the situation in aerial photography. All trees with a diameter at breast height DBH of more than 5 cm were measured and for each tree coordinates, its species, height, DBH, crown width and length were recorded. Differentially corrected Global Positioning System measurements were used to determine the position of each plot centre. Data from different hyperspectral bands were compared using ANOVA at confidence level 95 %. Four species: Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst), silver birch (Betula pendula Roth), and European aspen (Populus tremula L.) – were examined in distinct forest site types. The spectral response of studied species was 1) different between species and 2) different between site types within each species, correlating with soil fertility gradient and soil moisture gradient. Differences between species occurred most in the intensity of reflected electromagnetic radiation rather than distinctive locations of maximums or minimums in spectrum curve, and near infrared (NIR) region of spectrum showed more differences between species than visible light zone. Most informative wavebands for distinguishing differences between site types were 805 nm and 644 nm.
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Reports on the topic "Aerial photography in forestry. Aerial photogrammetry"

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Christel, L. M. Using historical aerial photography and softcopy photogrammetry for waste unit mapping in L Lake. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/658133.

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