Relevant bibliographies by topics / Digital forestry

Academic literature on the topic 'Digital forestry'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Digital forestry"

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Bespalova, V. V., O. A. Polyanskaya, A. A. Lipinskaya, A. V. Gryazkin, and I. A. Kazi. "Digital technologies in forestry." IOP Conference Series: Earth and Environmental Science 806, no. 1 (August 1, 2021): 012008. http://dx.doi.org/10.1088/1755-1315/806/1/012008.

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Kardoš, M. "Methods of digital photogrammetry in forest management in Slovakia." Journal of Forest Science 59, No. 2 (February 12, 2013): 54–63. http://dx.doi.org/10.17221/35/2012-jfs.

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  The practical aspect of utilization of digital photogrammetry methods and their products in Slovak forestry is presented. We deal with the comparison of various data obtained by digital cameras, their accuracy, utilization and effectiveness for mapping. Based on presented results we summarize the main conclusions in the field of forest mapping. We also deal with the process of pan-sharpening for the preparation of image data for the interpretation and classification of forestry features. Also, the statistical characteristics of two photogrammetric projects with different geometric resolution photos (Ultracam D digital camera with ground sample distance of 10 cm and UltracamX digital camera with ground sample distance of 20 cm) from the same experimental area of the University Forest Enterprise Zvolen are described with the aim of finding an appropriate solution suitable for forest mapping. In both cases, the horizontal accuracy of the photogrammetric projects is presented. Finally, the process of true orthophoto generation and its utilization in forestry is the focus. Both experiments in this paper presented results which fulfil the accuracy standards defined by the state cadastre within the mapping of large scale maps. All projects, apart from the project of direct georeferencing, fulfilled the third accuracy class of mapping, so they can be used within cadastral mapping, land consolidations and, of course, within forested land mapping. Still, all the projects meet the accuracy requirements within the forest mapping standard, where the forestry features and forest spatial distribution units are mapped.  
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Tang, Shouzheng, Lina Tang, Guofan Shao, and Limin Dai. "Digital forestry research in China." Science in China Series E: Technological Sciences 49, S1 (June 2006): 1–8. http://dx.doi.org/10.1007/s11431-006-8101-5.

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Morkovina, S., S. Nasriddinov, and I. Shanin. "Forestry digital platform of Russia." IOP Conference Series: Earth and Environmental Science 595 (December 2, 2020): 012042. http://dx.doi.org/10.1088/1755-1315/595/1/012042.

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Žíhlavník, S., F. Chudý, and M. Kardoš. "Utilization of digital photogrammetry in forestry mapping." Journal of Forest Science 53, No. 5 (January 7, 2008): 222–30. http://dx.doi.org/10.17221/2176-jfs.

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At present, photogrammetric interpretation of aerial images is a dominant method of forestry mapping. In the last years, transition from analogue to digital photogrammetry has been distinct. Digital photogrammetry enables to achieve workflow effectivity, and so to decrease the final product costs. The objective of the submitted paper was to evaluate the availability of digital photogrammetry for the forestry mapping rationalization. Digital aerotriangulation using the ImageStation SSK system brings more accurate results without requirements for the use of a larger amount of control points. The results also demonstrated the use of colour infrared aerial images, and also black and white aerial images at the scale 1:15,000 for the orthoimage creation in the forestry mapping department. Compared with the black and white aerial images, the colour infrared images have an essentially more interesting content, mainly from the qualitative aspect, which shifts them to use in many forestry disciplines (mostly for determination of the health conditions of forests stands, …), in combination with the remote sensing of the Earth and GIS (Geographic Information Systems).
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Hoffer, Roger M. "Digital analysis techniques for forestry applications." Remote Sensing Reviews 2, no. 1 (June 1986): 61–110. http://dx.doi.org/10.1080/02757258609532079.

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Zhao, Jingzhu, Yanchun Wang, and Rencai Dong. "A database framework of digital forestry towards sustainable forestry development in China." Science in China Series E: Technological Sciences 49, S1 (June 2006): 19–26. http://dx.doi.org/10.1007/s11431-006-8103-3.

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Skidmore, A. K., G. B. Wood, and K. R. Shepherd. "Remotely sensed digital data in forestry: a review." Australian Forestry 50, no. 1 (January 1987): 40–53. http://dx.doi.org/10.1080/00049158.1987.10674493.

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Klimánek, Martin, and Miloš Cibulka. "Digital forestry maps representation using web mapping services." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 56, no. 2 (2008): 293–98. http://dx.doi.org/10.11118/actaun200856020293.

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The Web Mapping Services (WMS) are very useful means for presentation of digital geospatial data in the Internet environment. Typical Open Source example of these services is development environment MapServer, which was originally developed by the University of Minnesota ForNet project in cooperation with NASA and the Minnesota Department of Natural Resources. MapServer is not a full-featured Geographical Information System (GIS), but provides the core functionality to support a wide variety of web applications. Complex and open information system about forest (and cultural) land is presented in real example of MapServer application with data from the Mendel University Training Forest. MapServer is used in effective representing of data for the University Forest staff, students and general public from October 2002. MapServer is usually applied in education process of GIS and Remote Sensing and for sharing of the Faculty of Forestry and Wood Technology Departments geospatial data.
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Klimánek, M. "Optimization of digital terrain model for its application in forestry." Journal of Forest Science 52, No. 5 (January 9, 2012): 233–41. http://dx.doi.org/10.17221/4506-jfs.

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Digital terrain model (DTM) represents a very important geospatial data type. In the CzechRepublic, the most common digital contour data sources are the Primary Geographic Data Base (ZABAGED), the Digital Ground Model (DMÚ25) and eventually the Regional Plans of Forest Development (OPRL). In constructing regular raster DTM, the initial process requires interpolation between the points in order to estimate values in a regular grid pattern. In this study, constructions of DTM from the above-mentioned data were tested using several software products: ArcEditor 9.0, Atlas 3.8, GRASS 6.1, Idrisi 14.02 and TopoL 2001. Algorithm parameters can be optimized in several ways. In this sense a comparison of the first and second derivative of DTM and its real appearance in the terrain and a cross-validation procedure or terrain data measurements to compute and minimize the root mean square error values (RMSE) proved to be the most useful operations. The ZABAGED contour data provided the best results, with software specific algorithms for interpolations of contour data (ArcGIS Desktop Topo to Raster, Idrisi Kilimanjaro TIN).
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Dissertations / Theses on the topic "Digital forestry"

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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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Fabian, Christopher J. "Application of a digital terrain model for forrest land classification and soil survey." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/4107.

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Thesis (M.S.) University of Missouri-Columbia, 2004.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 30, 2006). Vita. Includes bibliographical references.
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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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Buchholz, Sunshine R. "Recommendations on digital resources for the Wisconsin K-12 Forestry Education Program (LEAF) /." Link to full text, 2007. http://epapers.uwsp.edu/thesis/2007/Buchholz.pdf.

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Zagalikis, Georgios D. "Estimation of forest stand parameters using digital orthorectified aerial photographs." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274879.

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Ground based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but are time-consuming and costly, and therefore typically limited to number of sample plots.  Estimating tree and stand characteristics from digitised aerial photographs can provide measurements from the whole stand, but is less accurate.  The goal of this study was to evaluate the application of scanned, stereo aerial photography and digital photogrammetry in combination with tree crown delineation techniques to measure tree and stand characteristics in two sites in Scotland, Rosarie and Leanachan forests.  Existing medium-resolution scanned images of true colour aerial photographs (1:10,000) were used to derive Digital Elevation Models (DEMs) of the forest canopy and digital orthophotographs.  Tree crown delineation techniques were used on the derived digital orthophotographs and tree crown measurements including crown area and coordinates of each crown were derived.  The DEMs in combination with Digital Terrain Models (DTMs) derived from digital contour maps, were used for the estimation of tree and stand heights.  Equations derived from regression analysis of individual tree measurements on the ground, and the orthophotographs from Rosarie forest, were used for the estimation of tree and stand characteristics of both sites. For Rosarie forest the estimations of stand top height, basal area, stand volume stand biomass and stand density (~23.7%) were similar with the ground measured stand characteristics (±10%), where as for Leanachan forest the estimations were less accurate due to the non-optimum illumination conditions during the acquisition of the aerial photographs. The level of accuracy achieved in this study is adequate for measuring tree and stand characteristics, if the acquisition conditions of aerial photographs are optimal.  Higher level of accuracy may be possible, but requires more accurate DTMs, possibly derived using active airborne remote sensing sensors.
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Mercier, Wilfred Jean-Baptiste. "Generation of Forest Stand Type Maps Using High-Resolution Digital Imagery." Fogler Library, University of Maine, 2009. http://www.library.umaine.edu/theses/pdf/MercierWJB2009.pdf.

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Kristofersson, Amanda, and Malaika Torto. "Sowing the Right Seeds & Harvesting Digital Transformation : A case study of drivers and barriers to digital transformation in the forestry industry." Thesis, Umeå universitet, Institutionen för informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185427.

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Digital transformation (DT) continuously reshapes and disrupts industries organizations operate in. Although the rising phenomenon is increasingly being investigated by academia, the factors influencing the adoption of DT in pre-digital and traditional industries are sufficiently unexplored. This study investigates managers’ perspectives on the drivers and barriers surrounding DT in traditional industries. To do this, we conducted an industry-level qualitative case study of the five biggest firms in the Swedish forestry industry. Through analysis using a DT framework, our results indicate that changing customers’ expectations and improving firm performance, to name a few, were the main drivers for DT in the forestry industry. However, our findings revealed that the main barriers to DT were related to the cultural and organizational identities of employees in the forestry industry. This study contributes to existing literature and provides suggestions for practitioners in traditional industries to address the challenges that may arise during the digital transformation process.
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Vogt, Holger K. H. "An investigation into the feasibility of forest inventory by means of stereo satellite imagery employing digital photogrammetry technology." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51609.

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Thesis (MSc)--Stellenbosch University, 2000.
ENGLISH ABSTRACT: The aim of the study was to extract elevation information (such as tree height) from stereo satellite imagery (IRS-I C), to scrutinise the performance of the DTM (Digital Terrain Model) tools as provided by the LH (LeicalHelava) Systems' softcopy system, and subsequently to perform a feasibility study on the application of a practically viable forest inventory design. A softcopy photogrammetry workstation (LH Systems DPW 770), IRS-I C stereo panchromatic satellite imagery, and digital aerial photography at a scale of 1:30000 (scanned at 15 micrometers) was used. The study was conducted over various sites in the Sabie area (province of Mpumalanga) in South Africa, where extensive man made forests with pine and eucalypts are to be found. The extraction of stand parameters such as tree height was performed manually, semi-automatically, and automatically. In addition, the compartment area was determined using a GIS tool. The Digital Surface Models (DSM), representing the canopy structure of the stands, was extracted from the IRS-I C imagery and validated through a comparison of the resulting contours with the corresponding contours generated by aerial photogrammetric methods. Due to the coarse spatial resolution of the IRS-IC imagery (5m) and the suboptimal BIH (BaselHeight) ratio (0.57), only objects featuring a height exceeding 20m could be manually measured with confidence. Furthermore, only the edges of the compartments proved to be suitable for the determination of tree heights (i.e. with a sufficiently large parallax difference and image contrast). The manual determination of tree heights in the IRS-I C imagery yielded accuracies of about 95% compared to the height values of the aerial photographs and the ground data. The application of image enhancement techniques had severe effects on the accuracy of the IRS-IC stereo model, resulting in deviations of about -57m from the 'true' value. It was observed that image matching was only a problem where features changed their appearance (e.g. clearfelled or burnt areas) during the acquisition period of the stereo pair of the satellite imagery. LH Systems' Adaptive Automatic Terrain Extraction (AATE) tool performed very well for the creation of digital terrain and surface models when using digital aerial photography with a high scanning rate. In contrast, the automatic creation of canopy surface models from various forest compartments did not yield any useful results when applied to IRS-l C imagery. AATE could not model the canopy structure properly. The coarse spatial resolution of the satellite imagery in conjunction with the sparse post spacing (20m) and matching errors are most likely to be responsible for this poor performance. Two-phase sampling and the Hugershoff method were chosen for automatically derived height values to be evaluated for possible application in forest inventory. Unfortunately, neither for the determination of the regression estimator for the first method, nor for the calculation of timber volume after application of the Hugershoff method could any useful result be obtained. This is mostly due to the fact that image matching errors and blunders (resulting in tree heights of -885m) were not properly accounted for in the terrain extraction software. However, the outcomes for the manual measurement of tree heights performed on the satellite imagery show that under optimal conditions accuracies can be achieved similar to those for the height determination in small scale aerial photographs, but at lower cost. The obtained height values can then be used for the calculation of timber volume according to Eichhorn's law. Keywords: AATE, blunders, digital photogrammetry, DPW770, forest inventory, Hugershoff IRS-l C, matching error, remote sensing, satellite imagery, two-phase sampling
AFRIKAANSE OPSOMMING: N GANGBAARHEIDSTIIDIE VIR BOSINVENTARIS MET BEHULP VAN STEREO SATELLIETBEELDE MET GEBRUIK VAN SAGTEKOPIE FOTOGRAMMETRIESETEGNOLOGIE: Die doel van hierdie studie was om elevasie inligting (soos boomhoogtes) uit stereo satellietbeelde (IRS-I C) te ontrek, en die DTM (Digitale Terrein Modelle) funksies van die LH Systems se sagtekopie sisteem te evalueer en 'n ondersoek in te stel na praktiese toepassing van die tegnologie in bosvoorraadopname. 'n Sagtekopie fotogrammetriese werkstasie (LH Systems DPW 770), IRS-I C stereo panchromatiese satellietwaarneming en digitale lugfotografie is gebruik. Die studie is uitgevoer oor verskeie areas in die Sabie omgewing (Mpumalanga, Suid-Afrika), waar daar ekstensiewe mensgemaakte woude voorkom met denne en Eucalyptus soorte. Die ekstraksie van opstandparameters soos boomhoogte is uitgevoer met die hand, as ook met semi-outomatiese en outomatiese metodes. Die digitale oppervlakmodelle (wat die kroondakstrukture van die opstande voorstel) was vanaf die IRS-I C beelde onttrek en gevalideer deur vergelyking van die resulterende kontoere met die korresponderende kontoere wat deur lugfotogrammetriese metodes gegenereer is. As gevolg van die growwe ruimtelike resolusie van die IRS-IC waarneming (Sm) en die suboptimale BIH verhouding (0.57) kan slegs voorwerpe met 'n hoogte van meer as 20m met vertroue met die hand gemeet word. Slegs die rande van die vakke is bruikbaar vir die berekening van boomhoogtes (d.w. s. met 'n voldoende paralaksverskil en 'n sterk beeldkontras ). Boomhoogtes wat met die hand bepaal is vanaf IRS-I C beelde is 95% akkuraat in vergelyking met die hoogtewaardes verkry vanaf die lugfoto's en die veldmetings. Die toepassing van beeldverbeteringstegnieke het duidelike invloede op die akkuraatheid van die IRS-IC stereomodel met afwykings van ongeveer -57m vanaf die "werklike" waardes. Daar is ook waargeneem dat beeldooreenstemming slegs 'n probleem is waar terreinvorme se voorkoms verander het (weens afkappings of brande) gedurende die verkrygingsperiode waarin die stereo paar van die satellietbeelde verkry is. LH Systems se Aanpassende Outomatiese Terrein Onttrekkings (Adaptive Automatic Terrain Extraction - AATE) instrument het goed gevaar tydens die gebruik van digitale lugfotografie met Inhoë skanderingstempo. In kontras hiermee het die outomatiese skepping van kroondakoppervlakmodelle van verskeie plantasievakke geen nuttige resultate gelewer wanneer dit op IRS-I C beelde toegepas is nie. Die growwe ruimtelike resolusie van die satellietbeelde tesame met die wye paalspasïering (20m) en passingsfoute is waarskynlik vir hierdie swak resultate verantwoordelik. Twee-fase proefueming en die Hugershoff metode was gebruik vir die bepaling van outomaties afgeleide hoogtewaardes vir evaluering van moonlike toepassing in bosvoorraadopnames. Geen bruikbare resultate kon verkry word vir die vasstelling van die regressieskatter vir die eersgenoemde metode of vir die berekening van die houtvolume volgens die Hugershoff metode nie. Dit is meestal as gevolg van beeld-- ooreenkomsfoute en flaters, (wat tot boomhoogtes van -885m gelei het) wat nie voldoende in ag geneem word in die terreinekstraksie sagteware nie. Die resultate vir die handgemete ('manual') boomhoogtebepaling wat uitgevoer is op die satellietbeelde (op die sagtekopie werkstasie DPW 770), toon dat akkuraathede soortgelyk aan daardie vir hoogte bepaal op klein-skaal lugfotos onder optimale toestande verkry kan word, maar goedkoper. Die hoogtewaardes wat verkry is kan gebruik word vir die berekening van houtvolume volgens die wet van Eichhorn. Sleutelwoorde: AATE, afstandswaarneming, bosvoorraadopnames, digitale fotogrammetrie, DPW770, flaters, Hugershoff, IRS-! C, satellietbeelde, twee-fase proefueming
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Bishop, Brian David. "Classification of Plot-Level Fire-Caused Tree Mortality in a Redwood Forest Using Digital Orthophotography and Lidar." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1171.

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Swanton Pacific Ranch is an approximately 1,300 ha working ranch and forest in northern Santa Cruz County, California, managed by California Polytechnic State University, San Luis Obispo (Cal Poly). On August 12, 2009, the Lockheed Fire burned 300 ha of forestland, 51% of the forested area on the property, with variable fire intensity and mortality. This study used existing inventory data from 47 permanent 0.08 ha (1/5 ac) plots to compare the accuracy of classifying mortality resulting from the fire using digital multispectral imagery and LiDAR. The percent mortality of trees at least 25.4 cm (10”) DBH was aggregated to three classes (0-25, 25-50, and 50-100%). Three separate Classification Analysis and Regression Tree (CART) models were created to classify plot mortality. The first used the best imagery predictor variable of those considered, the Normalized Difference Vegetation Index (NDVI) calculated from 2010 National Agricultural Imagery Program (NAIP) aerial imagery, with shadowed pixel values adjusted, and non-canopy pixels removed. The second used the same NDVI in combination with selected variables from post-fire LiDAR data collected in 2010. The third used the same NDVI in combination with selected variables from differenced LiDAR data calculated using post-fire LiDAR and pre-fire LiDAR collected in 2008. The imagery alone was 74% accurate; the imagery and post-fire LiDAR model was 85% accurate, while the imagery and differenced LiDAR model was 83% accurate. These findings indicate that remote sensing data can accurately estimate post-fire mortality, and that the addition of LiDAR data to imagery may yield only modest improvement.
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Lincoln, Philippa R. "Stalled gaps or rapid recovery the influence of damage on post-logging forest dynamics and carbon balance /." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2008. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=24813.

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Books on the topic "Digital forestry"

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Kempf, Jerry. Digital tally meter. San Dimas, CA: U.S. Dept. of Agriculture, Forest Service, Technology & Development Program, 1998.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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Twito, Roger H. The MAP program: Building the digital terrain model. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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Twito, Roger H. The MAP program: Building the digital terrain model. [Portland Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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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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1961-, Fang Luming, ed. Yao gan tu xiang sen lin zi yuan xin xi ti qu yu fen xi yan jiu. Beijing: Ke xue chu ban she, 2007.

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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. Victoria: Pacific Forestry Centre, 1999.

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Ismail, A. B. Use of digital landsat MSS data to detect spectral variation in Malaysian peat swamp forests. Kuala Lumpur: Malaysian Agricultural Research and Development Institute, 1990.

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Book chapters on the topic "Digital forestry"

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Picchi, G., J. Sandak, S. Grigolato, P. Panzacchi, and R. Tognetti. "Smart Harvest Operations and Timber Processing for Improved Forest Management." In Climate-Smart Forestry in Mountain Regions, 317–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80767-2_9.

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AbstractClimate-smart forestry can be regarded as the evolution of traditional silviculture. As such, it must rely on smart harvesting equipment and techniques for a reliable and effective application. The introduction of sensors and digital information technologies in forest inventories, operation planning, and work execution enables the achievement of the desired results and provides a range of additional opportunities and data. The latter may help to better understand the results of management options on forest health, timber quality, and many other applications. The introduction of intelligent forest machines may multiply the beneficial effect of digital data gathered for forest monitoring and management, resulting in forest harvesting operations being more sustainable in terms of costs and environment. The interaction can be pushed even further by including the timber processing industry, which assesses physical and chemical characteristics of wood with sensors to optimize the transformation process. With the support of an item-level traceability system, the same data could provide a formidable contribution to CSF. The “memory” of wood could support scientists to understand the response of trees to climate-induced stresses and to design accordingly an adaptive silviculture, contributing to forest resilience in the face of future changes due to human-induced climate alteration.
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Ilardi, E., V. Fissore, R. Berretti, A. Dotta, P. Boccardo, and E. Borgogno-Mondino. "Low Density ALS Data to Support Forest Management Plans: The Alta Val Di Susa Forestry Consortium (NW Italy) Case Study." In Geomatics for Green and Digital Transition, 263–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17439-1_19.

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Vuolasto, Jaakko, and Kari Smolander. "Genesis of a Wood Harvesting B2B Software Platform." In Agile Processes in Software Engineering and Extreme Programming – Workshops, 106–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88583-0_10.

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AbstractDigital platform research has focused mostly on global platforms, where the users of the platform are consumers. Business-to-business (B2B) digital platforms have received less attention. This study observes and provides an early report on a digital platform for forestry, bringing together forest companies, contractors, and forest machine manufacturers. The platform started in Finland, but it has begun to extent its scope to international markets as well. We present some early insights about the birth of the platform and the factors that have contributed to its success in the beginning. We also describe some aspects present in B2B platform governance and related forces. Finally, we provide a preliminary outlook of possible future directions of the platform and its ecosystem.
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Jäntti, Marko, and Markus Aho. "Improving the Quality of ICT and Forestry Service Processes with Digital Service Management Approach: A Case Study on Forestry Liquids." In Communications in Computer and Information Science, 175–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14179-9_12.

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Zhao, Feifei, and Yanyou Qiao. "Study on the Positioning of Forestry Insect Pest Based on DEM and Digital Monitoring Technique." In Information Computing and Applications, 48–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25255-6_7.

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Simonis, Ingo, and Karel Charvát. "Standards and EO Data Platforms." In Big Data in Bioeconomy, 17–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_2.

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AbstractIn the digital bio-economy like in many other sectors, standards play an important role. With “Standards”, we refer here to the protocols that describe how data and the data-exchange are defined to enable digital exchange of data between devices. This chapter evaluates how Big Data, cloud processing, and app stores together form a new market that allows exploiting the full potential of geospatial data. This chapter focuses on the essential cornerstones that help make Big Data processing a more seamless experience for bioeconomy data. The described approach is domain-independent, thus can be applied to agriculture, fisheries, and forestry as well as earth observation sciences, climate change research, or disaster management. This flexibility is essential when it comes to addressing real world complexities for any domain, as no single domain has sufficient data available within its own limits to tackle the major research challenges our world is facing.
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Chen, Zezhi, Michael Berks, Susan Astley, and Chris Taylor. "Classification of Linear Structures in Mammograms Using Random Forests." In Digital Mammography, 153–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13666-5_21.

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Klassen, Myungsook, and Nikhila Paturi. "Web Document Classification by Keywords Using Random Forests." In Networked Digital Technologies, 256–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14306-9_26.

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Stum, A. K., J. L. Boettinger, M. A. White, and R. D. Ramsey. "Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah." In Digital Soil Mapping, 179–90. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8863-5_15.

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Rücker, W. "Digitalis spp.: In Vitro Culture, Regeneration, and the Production of Cardenolides and Other Secondary Products." In Biotechnology in Agriculture and Forestry, 388–418. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73026-9_21.

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Conference papers on the topic "Digital forestry"

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Larionov, Valery Glebovich, Tatyana Bezrukova, Elena Nikolaevna Sheremetyeva, Ekaterina Barinova, and M. Vetchinkina. "DIGITAL TRANSFORMATION OF FORESTRY." In GREEN ECONOMY: IFOREST. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2022. http://dx.doi.org/10.34220/zeif2022_64-70.

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Currently, a digital transformation of all spheres of the Russian economy is taking place. Program documents for the digitalization of the country and the development of the forestry complex should be considered from a unified systemic standpoint, taking into account the interests of not only the state, but also business. The article discusses the problems of staffing the forestry industry, digital processes in the organization of forestry. An attempt is made to analyze the state of educational organizations that train specialists in this area and the problems that arise in the industry on the way of its transformation.
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Mironenko, Aleksey, Sergey Matveev, Vasiliy Slavskiy, and A. Revin. "FOREST ASSESSMENT AND ACCOUNTING SOFTWARE." In Modern machines, equipment and IT solutions for industrial complex: theory and practice. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2021. http://dx.doi.org/10.34220/mmeitsic2021_250-255.

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Forestry in Russia is experiencing a great need for digital technologies that can form and generalize existing databases. All participants are interested in the development of digital technologies in forest management, from the end user of forest resources to public authorities in the field of forest relations. At the same time, the modern level of forestry software requires modernization to solve specific problems. The team of the Department of Forestry, Forest Inventory and Forest Inventory of VGFTU has developed a number of automated systems that allow to quickly solve scientific and production problems in the field of forestry, ecology and nature management. The importance and relevance of this work is reflected in the “Strategy for the development of the forestry complex of the Russian Federation for the period up to 2030”.The modularity and scalability of such systems allows the authors to quickly make adjustments to their source code, which allows keeping the software up to date, which meets the modern requirements of the legal framework of the forestry sector.
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Robert H. Brock Jr., Paul J. Szemkow, Kerry L. Van Siclen, and Michael T. Maute. "Applying Digital Photgrammetry to Precision Forestry." In 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.9397.

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Zavyalova, S. E., A. A. Lysenko, and E. A. Zhidko. "DIGITAL TECHNOLOGIES IN INDUSTRY AND FORESTRY COMPLEX." In Современный лесной комплекс страны: проблемы и тренды развития. Воронеж: Воронежский государственный лесотехнический университет им. Г.Ф. Морозова, 2022. http://dx.doi.org/10.58168/mfccptd2022_163-169.

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Mosolova, Natalia A. "DIGITAL ECONOMY: ACCOUNTING OF RUSSIAN FORESTRY REVENUES." In II All-Russian Scientific and Practical Conference. Saint Petersburg Forestry Research Institute, 2022. http://dx.doi.org/10.21178/2079-2022.57.

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Sacco, Pasqualina, Elena Rangoni Gargano, Alessia Cornella, Davide Don, and Fabrizio Mazzetto. "Digital sustainability in smart agriculture." In 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2021. http://dx.doi.org/10.1109/metroagrifor52389.2021.9628838.

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Pezzuolo, Andrea, Hao Guo, Giorgio Marchesini, Marta Brscic, Stefano Guercini, and Francesco Marinello. "Digital Technologies and Automation in Livestock Production Systems: a Digital Footprint from Multisource Data." In 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2021. http://dx.doi.org/10.1109/metroagrifor52389.2021.9628544.

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WangFei, Zhang, Yue CaiRong, and Deng Xin. "Web Services and Grid Technology in Digital Forestry." In 2010 Second International Workshop on Education Technology and Computer Science. IEEE, 2010. http://dx.doi.org/10.1109/etcs.2010.421.

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Panyavina, Ekaterina, and K. Osipova. "DIGITALIZATION OF LABOR RATE PROCESSES IN FORESTRY: STATE AND PROSPECTS." In Manager of the Year. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2022. http://dx.doi.org/10.34220/my2021_195-201.

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The article examines the essence of labor rationing, the role of information technology, assesses the areas of application of information technology in labor rationing. A significant part of the standard time and output rates used in forestry operations to calculate the cost rates do not correspond to modern economic conditions. An objective need for revising the current norms of time and production is shown, the existing methods and procedures for standardizing work are labor-intensive and are determined by the specifics of the forest industry. The possibilities of software products in the procedures and methods of labor rationing have been determined. A model of a unified digital platform “Labor standards in forestry” has been formed, which allows coordination of work between forestry enterprises, which aims to improve the efficiency of forestry activities.
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Yan, Pinghui, Xu Zhang, and Fan Li. "Research of Spatial Data Discovery Technology on Digital Forestry platform." In Sixth International Conference on Grid and Cooperative Computing (GCC 2007). IEEE, 2007. http://dx.doi.org/10.1109/gcc.2007.106.

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Reports on the topic "Digital forestry"

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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Winn, Matthew, Jeff Palmer, S. M. Lee, and Philip Araman. ForestCrowns: a transparency estimation tool for digital photographs of forest canopies. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2016. http://dx.doi.org/10.2737/srs-gtr-215.

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Winn, Matthew, Jeff Palmer, S. M. Lee, and Philip Araman. ForestCrowns: a transparency estimation tool for digital photographs of forest canopies. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2016. http://dx.doi.org/10.2737/srs-gtr-215.

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Kenneth Glenn MacDicken. Application of Low-Cost Digital Elevation Models to Detect Change in Forest Carbon Sequestration Projects. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/922194.

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Williams, David W., and Richard A. Birdsey. Historical patterns of spruce budworm defoliation and bark beetle outbreaks in North American conifer forests: an atlas and description of digital maps. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2003. http://dx.doi.org/10.2737/ne-gtr-308.

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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42003.

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Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI). Previous testing focused on one study site using 2-m resolution commercial MSI from WorldView-2 and 30-m resolution imagery from Landsat-7. New testing in this work used 3-m imagery from PlanetScope and 10-m imagery from Sentinel-2 in imagery in sites across 12 biomes in South and Central America and North Korea. Overall accuracy ranged between 23% and 97% for Sentinel-2 imagery and between 51% and 98% for PlanetScope imagery. Future research will focus on automating the identification of the threshold that separates tree from other land covers, exploring use of the output for machine learning applications, and incorporating ancillary data such as digital surface models and existing tree cover maps.
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Galvin, Jeff, and Sarah Strudd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume II, association summaries. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284793.

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The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the National Vegetation Classification (NVC). The others are newly described and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume II of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides two-page summaries of the 97 associations identified and mapped during the project, and detailed in Volume I. Summaries are presented by district, starting with the Tucson Mountain District. These summaries are abridged versions of the full association descriptions found in Volume III.
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Galvin, Jeff, and Sarah Studd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume III, type descriptions. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284802.

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The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the NVC. The others are newly de-scribed and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume III of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides full type descriptions of the 97 associations identified and mapped during the project, and detailed in Volume I. Volume II provides abridged versions of these full descriptions, briefly describing the floristic and structural characteristics of the vegetation and showing representative photos of associations, their distribution, and an example of the satellite imagery for one polygon.
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Ruiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin, and Kevin Whelan. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, November 2020. http://dx.doi.org/10.36967/nrr-2279586.

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The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. This spatial product will serve as a record of baseline vegetation conditions for the purpose of: (1) documenting changes to the spatial extent, pattern, and proportion of plant communities within these two federally-managed units as they respond to hydrologic modifications resulting from the implementation of the CERP; and (2) providing vegetation and land-cover information to NPS park managers and scientists for use in park management, resource management, research, and monitoring. This mapping project covers an area of approximately 7,400 square kilometers (1.84 million acres [ac]) and consists of seven mapping regions: four regions in Everglades National Park, Regions 1–4, and three in Big Cypress National Preserve, Regions 5–7. The report focuses on the mapping effort associated with the Northwest Coastal Everglades (NWCE), Region 4 , in Everglades National Park. The NWCE encompasses a total area of 1,278 square kilometers (493.7 square miles [sq mi], or 315,955 ac) and is geographically located to the south of Big Cypress National Preserve, west of Shark River Slough (Region 1), and north of the Southwest Coastal Everglades (Region 3). Photo-interpretation was performed by superimposing a 50 × 50-meter (164 × 164-feet [ft] or 0.25 hectare [0.61 ac]) grid cell vector matrix over stereoscopic, 30 centimeters (11.8 inches) spatial resolution, color-infrared aerial imagery on a digital photogrammetric workstation. Photo-interpreters identified the dominant community in each cell by applying majority-rule algorithms, recognizing community-specific spectral signatures, and referencing an extensive ground-truth database. The dominant vegetation community within each grid cell was classified using a hierarchical classification system developed specifically for this project. Additionally, photo-interpreters categorized the absolute cover of cattail (Typha sp.) and any invasive species detected as either: Sparse (10–49%), Dominant (50–89%), or Monotypic (90–100%). A total of 178 thematic classes were used to map the NWCE. The most common vegetation classes are Mixed Mangrove Forest-Mixed and Transitional Bayhead Shrubland. These two communities accounted for about 10%, each, of the mapping area. Other notable classes include Short Sawgrass Marsh-Dense (8.1% of the map area), Mixed Graminoid Freshwater Marsh (4.7% of the map area), and Black Mangrove Forest (4.5% of the map area). The NWCE vegetation map has a thematic class accuracy of 88.4% with a lower 90th Percentile Confidence Interval of 84.5%.
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