Academic literature on the topic 'Forests and forestry Aerial photography in forestry. Photographic interpretation'

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Journal articles on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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Morgan, Jessica L., and Sarah E. Gergel. "Automated analysis of aerial photographs and potential for historic forest mapping." Canadian Journal of Forest Research 43, no. 8 (2013): 699–710. http://dx.doi.org/10.1139/cjfr-2012-0492.

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Historic information regarding forest status is essential to management and conservation. Manual interpretation of aerial photography has long been the standard for forest inventory; however, manual interpretation can be subjective, inconsistent, and labor-intensive. This research compares automated techniques with manual interpretation results. First, we used an automated process (called segmentation) to delineate homogeneous stands of forests (or objects), analogous to the goal of manually delineating of polygons. Second, we used classification and regression tree (CART) analysis to classify
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Düggelin, Christoph, and Meinrad Abegg. "Modelle zur Biomasse- und Holzvolumenschätzung im Schweizer Gebüschwald | Modelling of biomass and wood volume in Swiss shrub forest." Schweizerische Zeitschrift fur Forstwesen 162, no. 2 (2011): 32–40. http://dx.doi.org/10.3188/szf.2011.0032.

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The results of the third National Forest Inventory indicate that shrub forest accounts for 5% of the total forest area in Switzerland. It grows almost exclusively in the subalpine zone and is dominated by the woody species Alnus viridis and Pinus mugo prostrata. As a consequence of global warming and the increasing demand for sustainable energy, there is a national and international interest to quantify wood volume and biomass in shrub forests. Therefore representative coppice shoots were measured in detail to establish allometric volume and biomass functions for Alnus viridis, Pinus mugo pros
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Kulha, Niko, Leena Pasanen, and Tuomas Aakala. "How to Calibrate Historical Aerial Photographs: A Change Analysis of Naturally Dynamic Boreal Forest Landscapes." Forests 9, no. 10 (2018): 631. http://dx.doi.org/10.3390/f9100631.

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Time series of repeat aerial photographs currently span decades in many regions. However, the lack of calibration data limits their use in forest change analysis. We propose an approach where we combine repeat aerial photography, tree-ring reconstructions, and Bayesian inference to study changes in forests. Using stereopairs of aerial photographs from five boreal forest landscapes, we visually interpreted canopy cover in contiguous 0.1-ha cells at three time points during 1959–2011. We used tree-ring measurements to produce calibration data for the interpretation, and to quantify the bias and
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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 (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 esti
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Hall, R. J., and A. H. Aldred. "Forest regeneration appraisal with large-scale aerial photographs." Forestry Chronicle 68, no. 1 (1992): 142–50. http://dx.doi.org/10.5558/tfc68142-1.

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The operational feasibility of using large-scale aerial photographs to quantify coniferous forest stocking and regeneration density, was assessed over 6 cutovers with a 1,700 ha total area. The project involved two stages: one to pre-stratify cutover stocking levels using 1:10,000 general-coverage, colour photos; and the second to sample intensively, stocking and density using 1:500 large-scale photos. The accuracy, cost and practical problems in using large-scale sampling photos for regeneration assessment were determined. Accuracy assessment included detectability of young trees, species int
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McLaren, Brian E., and Shane P. Mahoney. "Comparison of forestry-based remote sensing methodologies to evaluate woodland caribou habitat in non-forested areas of Newfoundland." Forestry Chronicle 77, no. 5 (2001): 866–73. http://dx.doi.org/10.5558/tfc77866-5.

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Forest inventory maps and a manual interpretation of forestry-enhanced Landsat imagery are compared to the results of a detailed aerial photograph interpretation used to map habitat for caribou (Rangifer tarandus terra novae) in a relatively unforested region of Newfoundland. This comparison serves as an illustration of the pitfalls inherent in using readily available remote sensing technologies in applications for which they were not intended. The non-forest classes in the Newfoundland Forest Inventory are too broad to describe single vegetation communities, and only rarely are vegetation com
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Fensham, R. J., and R. J. Fairfax. "Assessing woody vegetation cover change in north-west Australian savanna using aerial photography." International Journal of Wildland Fire 12, no. 4 (2003): 359. http://dx.doi.org/10.1071/wf03022.

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Models to calibrate tree and shrub cover assessed from aerial photography with field measurements were developed for a range of vegetation types in north-western Australia. The models verify previous studies indicating that woody cover can be successfully determined from aerial photography. The calibration models were applied to estimates of woody vegetation cover determined for 279 randomly located sample areas in the Ord–Victoria Rivers region using aerial photography from 1948 to 1950 and 1988 to 1997. Overstorey cover increased from a regional average of 11.5% to 13.5% and understorey cove
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Fairfax, R. J., and R. J. Fensham. "Corrigendum to: Assessing woody vegetation cover change in north-west Australian savanna using aerial photography." International Journal of Wildland Fire 13, no. 1 (2004): 131. http://dx.doi.org/10.1071/wf03022_co.

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Models to calibrate tree and shrub cover assessed from aerial photography with field measurements were developed for a range of vegetation types in north-western Australia. The models verify previous studies indicating that woody cover can be successfully determined from aerial photography. The calibration models were applied to estimates of woody vegetation cover determined for 279 randomly located sample areas in the Ord–Victoria Rivers region using aerial photography from 1948 to 1950 and 1988 to 1997. Overstorey cover increased from a regional average of 11.5% to 13.5% and understorey cove
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Leckie, Donald G. "Advances in remote sensing technologies for forest surveys and management." Canadian Journal of Forest Research 20, no. 4 (1990): 464–83. http://dx.doi.org/10.1139/x90-063.

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Canadian forest management has had a long history of developing and implementing remote sensing technology and is a major user of remote sensing. Despite difficulties in developing and implementing new digital remote sensing techniques, several key developments in Canadian forest management and in remote sensing and computer technology make the development and implementation of new remote sensing techniques at this time feasible and appropriate. Integration of different remote sensing technologies, remote sensing data with other information sources through geographic information systems, and r
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K., Kotresha, and Indra Jit Singh. "Mapping of Forest Plantation in Forest Research Institute, Dehradun Using IKONOS Data." Mapana - Journal of Sciences 6, no. 2 (2007): 75–88. http://dx.doi.org/10.12723/mjs.11.6.

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The forests are the source for many essential requirements such as fuel wood, timber, raw materials for paper and above all, it helps us to maintain the CO2 /O2 balance in nature. Sustainable forest management requires reliable information. The aerial photographs and GIS data information can generate various scenarios for forest management plans at local, national and global scales. IKONOS is the world first one-meter resolution commercial imaging satellite. The interpretation of aerial photograph and satellite data are of great benefit for neighboring and regional land use, forest mapping, to
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Dissertations / Theses on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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Jansson, Ulrika. "Forest edges in boreal landscapes - factors affecting edge influence." Doctoral thesis, Umeå : Department of Ecology and Environmental Science, Umeå University, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-21664.

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Books on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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

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

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3

Grant, Gordon. The RAPID technique: A new method for evaluating downstream effects of forest practices on riparian zones. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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Grant, Gordon. The RAPID technique: A new method for evaluating downstream effects of forest practices on riparian zones. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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Riemann, Rachel. FIA photointerpretation in southern New England: A tool to determine forest fragmentation and proximity to human development. U. S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.

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International, Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry (1998 Victoria B. C. ). International Forum, Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry: February 10-12, 1998, Pacific Forestry Centre, Victoria, British Columbia, Canada. Pacific Forestry Centre, 1999.

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7

Kesteren, A. R. Van. Air photo interpretation of Damman forest types on calcareous terrain in western Newfoundland. Forestry Canada, Newfoundland and Labrador Region, 1992.

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8

Johnson, John Alexander. Building aerial photo interpretation keys to the NWO FEC S-types and V-types in the Roslyn lake study area: A case study. Great Lakes Forestry Centre, 1997.

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Lannom, Keith B. Comparison of AVHRR classification and aerial photography interpretation for estimation of forest area. U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1995.

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Ward, J. C. Mapping insect defoliation in eastern hardwood forests with color-IR aerial photos: A photo interpretation guide. U.S. Dept. of Agriculture, Forest Service, Forest Pest Management, Methods Application Group, 1986.

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Book chapters on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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Ying-ji, Yin, and Wang Ni-hong. "Expert System for Forest Type Interpretation on Aerial Photographs." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_74.

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

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Conference papers on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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Johnston, Katherine, Betsy Waddington, Mark Leir, and Corey Kenny. "Re-Introducing the Benefits of Terrain Mapping for Pipeline Routing and Design." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64285.

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Terrain mapping is the process of the interpretation of aerial photographs, LiDAR and satellite imagery plus field based ground truthing to delineate and characterize terrain polygons with similar surficial materials, landforms and geological processes [1]. For new pipeline projects, detailed terrain mapping is usually completed at a map scale of 1:20,000 corresponding to ground accuracy, at best, of 20 m. Although typically used to support the forestry industry in planning and developing forestry operations in British Columbia, Canada [2], and despite the rapid advancements of remote sensing
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Reports on the topic "Forests and forestry Aerial photography in forestry. Photographic interpretation"

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Lannom, Keith B., David L. Evans, and Zhiliang Zhu. Comparison of AVHRR classification and aerial photography interpretation for estimation of forest area. U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1995. http://dx.doi.org/10.2737/so-rp-292.

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