Literatura académica sobre el tema "Forest species mapping"
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Artículos de revistas sobre el tema "Forest species mapping"
Welle, Torsten, Lukas Aschenbrenner, Kevin Kuonath, Stefan Kirmaier y Jonas Franke. "Mapping Dominant Tree Species of German Forests". Remote Sensing 14, n.º 14 (11 de julio de 2022): 3330. http://dx.doi.org/10.3390/rs14143330.
Texto completoGansner, David A., Susan L. King, Stanford L. Arner y David A. Drake. "Mapping Shifts in the Relative Stocking of Tree Species". Northern Journal of Applied Forestry 13, n.º 2 (1 de junio de 1996): 92–95. http://dx.doi.org/10.1093/njaf/13.2.92.
Texto completoBjerreskov, Kristian Skau, Thomas Nord-Larsen y Rasmus Fensholt. "Classification of Nemoral Forests with Fusion of Multi-Temporal Sentinel-1 and 2 Data". Remote Sensing 13, n.º 5 (3 de marzo de 2021): 950. http://dx.doi.org/10.3390/rs13050950.
Texto completoGrabska, Ewa, Patrick Hostert, Dirk Pflugmacher y Katarzyna Ostapowicz. "Forest Stand Species Mapping Using the Sentinel-2 Time Series". Remote Sensing 11, n.º 10 (20 de mayo de 2019): 1197. http://dx.doi.org/10.3390/rs11101197.
Texto completoMaděra, Petr, Radomír Řepka, Jan Šebesta, Tomáš Koutecký y Martin Klimánek. "Vascular plant biodiversity of floodplain forest geobiocoenosis in Lower Morava river Basin (forest district Tvrdonice), Czech Republic". Journal of Landscape Ecology 6, n.º 2 (1 de diciembre de 2013): 34–64. http://dx.doi.org/10.2478/v10285-012-0067-3.
Texto completoYI, Hai-Yan, Yuan ZENG, Yu-Jin ZHAO, Zhao-Ju ZHENG, Jie XIONG y Dan ZHAO. "Forest species diversity mapping based on clustering algorithm". Chinese Journal of Plant Ecology 44, n.º 6 (2020): 598–615. http://dx.doi.org/10.17521/cjpe.2019.0347.
Texto completoTagliabue, Giulia, Cinzia Panigada, Roberto Colombo, Francesco Fava, Chiara Cilia, Frédéric Baret, Kristin Vreys, Koen Meuleman y Micol Rossini. "Forest species mapping using airborne hyperspectral APEX data". Miscellanea Geographica 20, n.º 1 (1 de marzo de 2016): 28–33. http://dx.doi.org/10.1515/mgrsd-2016-0002.
Texto completoMurgaš, Vlastimil, Ivan Sačkov, Maroš Sedliak, Daniel Tunák y František Chudý. "Assessing horizontal accuracy of inventory plots in forests with different mix of tree species composition and development stage". Journal of Forest Science 64, No. 11 (3 de diciembre de 2018): 478–85. http://dx.doi.org/10.17221/92/2018-jfs.
Texto completoShikhov, A. N., R. K. Abdullin y A. V. Semakina. "Mapping forest areas threatened by fires and windthrows (on the example of the Ural territory)". Geodesy and Cartography 958, n.º 4 (20 de mayo de 2020): 19–30. http://dx.doi.org/10.22389/0016-7126-2020-958-4-19-30.
Texto completoDornelles, Mariane Paludette, Gustavo Heiden, Eimear Nic Lughadha y João Iganci. "Quantifying and mapping angiosperm endemism in the Araucaria Forest". Botanical Journal of the Linnean Society 199, n.º 1 (23 de diciembre de 2021): 449–69. http://dx.doi.org/10.1093/botlinnean/boab092.
Texto completoTesis sobre el tema "Forest species mapping"
Galidaki, Georgia. "Mediterranean Forest Species Mapping Using Hyperspectral Imagery". Doctoral thesis, Università degli studi di Trieste, 2013. http://hdl.handle.net/10077/8553.
Texto completoAdvances in hyperspectral technology provides scientists the opportunity to investigate problems that were difficult if not impossible to approach using multispectral data; among those, species composition which is a very important and dynamic forest parameter, linked with many environmental qualities that we want to map and monitor. This study addresses the problem of Mediterranean forest species mapping using satellite EO-1 Hyperion imagery (30m, 196 bands). Two pixel based techniques were evaluated, namely Spectral Angle Mapper (SAM) and Support Vector Machines (SVM), as well as an object oriented approach (GEOBIA). These techniques were applied in two study areas with different species composition and pattern complexity, namely Thasos and Taksiarchis. Extensive field work provided reference data for the accuracy assessment of the produced maps. Image preprocessing included several steps of data corrections and the Minimum Noise Fraction transformation, as means for data dimensionality reduction. In the case of Thasos, where two conifer species are present, SAM technique resulted in an overall accuracy (OA) of 3.9%, SVM technique yielded OA of 89.0% and GEOBIA achieved an OA of 85.3%. In the case of Taksiarchis, where more species are present – both conifers and broadleaved- the respective OA was 80.0%, 82.6% and 74.1%. All three methodologies implemented to investigate the value of hyperspectral imagery in Mediterranean forest species mapping, achieved very accurate results; in some cases equivalent to forest inventory maps. SAM was the straightest forward to implement, only depending on the training samples. Implementation SVM involved the specification of several parameters as well as the use of custom software and was more successful in the challenging landscape of Taksiarchis. GEOBIA adapted to scale through segmentation and extended the exercise of classification, allowing for knowledge based refinement. Lower accuracies could be attributed to the assessment method, as research on alternative assessment methods better adapted to the nature of object space is ongoing. Two typical Mediterranean forests were studied. In Thasos, two conifer species of the same genus, namely Pinus brutia and Pinus nigra, dominate a big part of the island. Both of them were accurately mapped by all methodologies. In Taksiarchis primarily stands of Quercus frainetto mix with stands of Fagus sylvatica and the aforementioned pines. The two pines were again mapped with high accuracy. However, there was a notable confusion between the two broadleaved species, indicating the need for further research, possibly taking advantage of species phenology. The outcome of the proposed methodologies could confidently meet the current needs for vegetation geographical data in regional to national scale, and demonstrate the value of hyperspectral imagery in Mediterranean forest species mapping.
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Johnson, Derek. "Predictive vegetation mapping of forest overstorey species using terrain /". St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18018.pdf.
Texto completoWeisgerber, Elizabeth Kay. "Classifying and mapping diversity in a species-poor system: the mangrove meta-community of Laguna Chacahua National Park, Oaxaca, Mexico". DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/622.
Texto completoKrahwinkler, Petra Maria [Verfasser]. "Machine learning based classification for semantic world modeling : support vector machine based decision tree for single tree level forest species mapping / Petra Maria Krahwinkler". Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2013. http://d-nb.info/1038510147/34.
Texto completoSunarto, Sunarto. "Ecology and restoration of Sumatran tigers in forest and plantation landscapes". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/37392.
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Dogan, Hakan Mete. "Understanding And Modeling Plant Biodiversity Of Nallihan (a3-ankara) Forest Ecosystem By Means Of Geographic Information Systems And Remote Sensing". Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1172436/index.pdf.
Texto completoHill, Louise. "Ecological impacts of ash dieback in Great Britain". Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:941ee684-798b-47b6-ae51-64baeb5f821e.
Texto completoYadav, BKV. "Mapping species composition and structure in wet eucalypt forest using multi-source remote sensing data". Thesis, 2019. https://eprints.utas.edu.au/34651/1/Yadav_whole_thesis.pdf.
Texto completoCruz, Pablo Henrique Alves. "Mapping urban tree species in a tropical environment using airborne multispectral and LiDAR data". Master's thesis, 2021. http://hdl.handle.net/10362/113904.
Texto completoAccurate and up-to-date urban tree inventory is an essential resource for the development of strategies towards sustainable urban planning, as well as for effective management and preservation of biodiversity. Trees contribute to thermal comfort within urban centers by lessening heat island effect and have a direct impact in the reduction of air pollution. However, mapping individual trees species normally involves time-consuming field work over large areas or image interpretation performed by specialists. The integration of airborne LiDAR data with high-spatial resolution and multispectral aerial image is an alternative and effective approach to differentiate tree species at the individual crown level. This thesis aims to investigate the potential of such remotely sensed data to discriminate 5 common urban tree species using traditional Machine Learning classifiers (Random Forest, Support Vector Machine, and k-Nearest Neighbors) in the tropical environment of Salvador, Brazil. Vegetation indices and texture information were extracted from multispectral imagery, and LiDAR-derived variables for tree crowns, were tested separately and combined to perform tree species classification applying three different classifiers. Random Forest outperformed the other two classifiers, reaching overall accuracy of 82.5% when using combined multispectral and LiDAR data. The results indicate that (1) given the similarity in spectral signature, multispectral data alone is not sufficient to distinguish tropical tree species (only k-NN classifier could detect all species); (2) height values and intensity of crown returns points were the most relevant LiDAR features, combination of both datasets improved accuracy up to 20%; (3) generation of canopy height model derived from LiDAR point cloud is an effective method to delineate individual tree crowns in a semi-automatic approach.
Dinger, Eric J. "Characterizing early-seral competitive mechanisms influencing Douglas-fir seedling growth, vegetation community development, and physiology of selected weedy plant species". Thesis, 2012. http://hdl.handle.net/1957/29479.
Texto completoGraduation date: 2013
Libros sobre el tema "Forest species mapping"
Morin, R. S. Mapping host-species abundance of three major exotic forest pests. Newtown Square, PA (11 Campus Blvd., Newton Square 19073-3294): U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2005.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA (1 Radnor Corp Ctr, Suite 200, Radnor 19087-4585): U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA (1 Radnor Corp Ctr, Suite 200, Radnor 19087-4585): U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA (1 Radnor Corp Ctr, Suite 200, Radnor 19087-4585): U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoHershey, Rachel Riemann. Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.
Buscar texto completoNewton, Adrian C. Towards a global tree conservation atlas: Mapping the status and distribution of the world's threatened tree species. Cambridge, United Kingdom: UNEP World Conservation Monitoring Centre, 2003.
Buscar texto completoUnited States. Science and Education. Plant genome research: A report of a Conference on Crop and Forest Species Genome Mapping. 1988.
Buscar texto completoCapítulos de libros sobre el tema "Forest species mapping"
Kala, Abhishek K., Suchismita Mukhopadhyay y Akshay Paygude. "SmarteR Approach for the Mapping of Invasive Plant Species". En Forest Dynamics and Conservation, 363–84. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0071-6_17.
Texto completoKumar, Rohit, Akhilesh Singh, Uttara Pandey, Parul Srivastava y Swapan Mehra. "Mapping the Extent of Invasive Species: An Assessment Based on High-Resolution Data for Selected Species in Parts of Eastern Himalaya in Sikkim". En Forest Dynamics and Conservation, 249–59. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0071-6_12.
Texto completoLöfstrand, R., S. Folving, P. Kennedy, J. Puumalainen, T. Coch, B. Kenter, M. Köhl et al. "Habitat Characterization and Mapping for Umbrella Species — An Integrated Approach Using Satellite and Field Data". En Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring, 191–204. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0649-0_15.
Texto completoHuntley, Brian John. "Biomes: Concepts, Characteristics and Terminology". En Ecology of Angola, 15–42. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18923-4_2.
Texto completour Rahman, Amjad, Esra Gürbüz, Semih Ekercin y Shujaul Mulk Khan. "Spatial Dynamics of Forest Cover and Land Use Changes in the Western Himalayas of Pakistan". En Vegetation Index and Dynamics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.98401.
Texto completoWickramasinghe, Amila, Nazmul Khan, Alexander Filkov y Khalid Moinuddin. "Physics-Based Modelling for Mapping Firebrand Flux and Heat Load on Structures in the Wildland-Urban Interface’". En Advances in Forest Fire Research 2022, 746–50. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_114.
Texto completoHorning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner y Sacha Spector. "Human interfaces and urban change". En Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0019.
Texto completoLorenț, Adrian, Marius Petrila, Vladimir Gancz, Florin Capalb, Bogdan Apostol y Nicolae-Ovidiu Badea. "Quick assessment of burn area and burn severity on black locust stands using Sentinel 2 imagery in South-West Romania". En Advances in Forest Fire Research 2022, 1282–91. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_194.
Texto completoLeavesley, Adam, Marta Yebra, Petter Nyman y Tony Scherl. "Manipulating fire regimes in sensitive ecosystems to adapt to climate change". En Advances in Forest Fire Research 2022, 914–20. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_138.
Texto completoGanteaume, Anne, Bruno Guillaume y Bertrand Girardin. "Impact of the WUI vegetation management on damage to building: comparing post-fire damage assessment and CFD modelling results." En Advances in Forest Fire Research 2022, 626–37. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_95.
Texto completoActas de conferencias sobre el tema "Forest species mapping"
Cord, Anna, Rene R. Colditz, Michael Schmidt y Stefan Dech. "Species distribution and forest type mapping in Mexico". En 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009). IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5417681.
Texto completoChehata, Nesrine, Hedia Chakroun, Rania Youssfi, Mohamed Amine Maaoui, Anis Manai, Rami Werhani, Kamel Aloui, Nizar Kouki, Wafa Talhaoui y Thouraya Sahli. "Improving Forest Species Mapping Using Sentinel-2 Time Series". En 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS). IEEE, 2020. http://dx.doi.org/10.1109/m2garss47143.2020.9105159.
Texto completoYoshii, Tatsuki, Chinsu Lin, Satoshi Tatsuhara, Satoshi Suzuki y Takuya Hiroshima. "Tree Species Mapping of a Hemiboreal Mixed Forest Using Mask R-CNN". En IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9884826.
Texto completoXiaohui Yang, Nadia Rochdi, Jinkai Zhang, James Banting, David Rolfson, Chelsea King, Karl Staenz, Shane Patterson y Brett Purdy. "Mapping tree species in a boreal forest area using RapidEye and LiDAR data". En IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6946357.
Texto completoStavrakoudis, Dimitris, Ioannis Gitas, Christos Karydas, Polychronis Kolokoussis y Vassilia Karathanassi. "Accurate multi-source forest species mapping using the multiple spectral–spatial classification approach". En SPIE Remote Sensing, editado por Lorenzo Bruzzone. SPIE, 2015. http://dx.doi.org/10.1117/12.2194663.
Texto completoRochdi, N., X. Yang, K. Staenz, S. Patterson y B. Purdy. "Mapping tree species in a boreal forest area using RapidEye and Lidar data". En SPIE Remote Sensing, editado por Ulrich Michel y Karsten Schulz. SPIE, 2014. http://dx.doi.org/10.1117/12.2067506.
Texto completoMartín-Luis, Antonio, Manuel Arbelo, Pedro Hernández-Leal y Manuel Arbelo-Bayó. "Mapping species distribution of Canarian Monteverde forest by field spectroradiometry and satellite imagery". En SPIE Remote Sensing, editado por Christopher M. U. Neale y Antonino Maltese. SPIE, 2016. http://dx.doi.org/10.1117/12.2241993.
Texto completoBeh, B. C., M. Z. MatJafri y H. S. Lim. "Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data". En SPIE Remote Sensing, editado por Christopher M. U. Neale y Antonino Maltese. SPIE, 2015. http://dx.doi.org/10.1117/12.2195435.
Texto completoWijana, Nyoman y I. Gusti Agung Nyoman Setiawan. "Mapping and Distribution of Useful Plant Species in Bukit Kangin Forest, Pegringsingan Village, Karangasem, Bali". En Proceedings of the 3rd International Conference on Innovative Research Across Disciplines (ICIRAD 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200115.015.
Texto completoKeramitsoglou, Iphigenia, Charalambos Kontoes, Konstantinos Koutroumbas, Olga Sykioti y Nicolaos Sifakis. "Mapping of forest species and tree density using new Earth observation sensors for wildfire applications". En Remote Sensing, editado por Manfred Owe y Guido D'Urso. SPIE, 2005. http://dx.doi.org/10.1117/12.626600.
Texto completoInformes sobre el tema "Forest species mapping"
Morin, Randall S., Andrew M. Liebhold, Eugene R. Luzader, Andrew J. Lister, Kurt W. Gottschalk y Daniel B. Twardus. Mapping host-species abundance of three major exotic forest pests. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2005. http://dx.doi.org/10.2737/ne-rp-726.
Texto completoRuiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin y 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, noviembre de 2020. http://dx.doi.org/10.36967/nrr-2279586.
Texto completoRamm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner y Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, febrero de 2021. http://dx.doi.org/10.36967/nrr-2284511.
Texto completoGalvin, Jeff y Sarah Strudd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume II, association summaries. Editado por Alice Wondrak Biel. National Park Service, marzo de 2021. http://dx.doi.org/10.36967/nrr-2284793.
Texto completoGalvin, Jeff y Sarah Studd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume III, type descriptions. Editado por Alice Wondrak Biel. National Park Service, marzo de 2021. http://dx.doi.org/10.36967/nrr-2284802.
Texto completoMevarech, Moshe, Jeremy Bruenn y Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, septiembre de 1995. http://dx.doi.org/10.32747/1995.7613022.bard.
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