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Статті в журналах з теми "Digital forestry"
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.
Повний текст джерелаKardoš, 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.
Повний текст джерелаTang, 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.
Повний текст джерелаMorkovina, 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.
Повний текст джерелаŽíhlavník, 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.
Повний текст джерелаHoffer, 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.
Повний текст джерелаZhao, 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.
Повний текст джерелаSkidmore, 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.
Повний текст джерелаKlimánek, 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.
Повний текст джерелаKlimánek, 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.
Повний текст джерелаДисертації з теми "Digital forestry"
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.
Повний текст джерелаTitle 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).
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.
Повний текст джерелаThe 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.
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.
Повний текст джерелаBuchholz, 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.
Повний текст джерелаZagalikis, 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.
Повний текст джерелаMercier, 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.
Повний текст джерелаKristofersson, 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.
Повний текст джерелаVogt, 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.
Повний текст джерелаENGLISH 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
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.
Повний текст джерелаLincoln, 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.
Повний текст джерелаКниги з теми "Digital forestry"
Kempf, Jerry. Digital tally meter. San Dimas, CA: U.S. Dept. of Agriculture, Forest Service, Technology & Development Program, 1998.
Знайти повний текст джерелаMcGaughey, 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.
Знайти повний текст джерелаMcGaughey, 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.
Знайти повний текст джерелаMcGaughey, 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.
Знайти повний текст джерелаTwito, Roger H. The MAP program: Building the digital terrain model. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.
Знайти повний текст джерелаTwito, Roger H. The MAP program: Building the digital terrain model. [Portland Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.
Знайти повний текст джерелаKorpela, Ilkka. Individual tree measurements by means of digital aerial photogrammetry. Helsinki: Finnish Society of Forest Science ; Finnish Forest Research Institute, 2004.
Знайти повний текст джерела1961-, 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.
Знайти повний текст джерелаInternational, 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.
Знайти повний текст джерелаIsmail, 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.
Знайти повний текст джерелаЧастини книг з теми "Digital forestry"
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.
Повний текст джерелаIlardi, 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.
Повний текст джерелаVuolasto, 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.
Повний текст джерелаJäntti, 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.
Повний текст джерелаZhao, 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.
Повний текст джерелаSimonis, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаKlassen, 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.
Повний текст джерелаStum, 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.
Повний текст джерелаRücker, 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.
Повний текст джерелаТези доповідей конференцій з теми "Digital forestry"
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.
Повний текст джерелаMironenko, 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.
Повний текст джерелаRobert 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.
Повний текст джерелаZavyalova, 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.
Повний текст джерелаMosolova, 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.
Повний текст джерелаSacco, 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.
Повний текст джерелаPezzuolo, 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.
Повний текст джерелаWangFei, 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.
Повний текст джерелаPanyavina, 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.
Повний текст джерелаYan, 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.
Повний текст джерелаЗвіти організацій з теми "Digital forestry"
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.
Повний текст джерелаWinn, 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.
Повний текст джерелаWinn, 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.
Повний текст джерелаKenneth 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.
Повний текст джерелаWilliams, 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.
Повний текст джерелаBecker, 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.
Повний текст джерелаGalvin, 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.
Повний текст джерелаGalvin, 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.
Повний текст джерелаRuiz, 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.
Повний текст джерела