Littérature scientifique sur le sujet « Forest species mapping »
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Articles de revues sur le sujet "Forest species mapping"
Welle, Torsten, Lukas Aschenbrenner, Kevin Kuonath, Stefan Kirmaier et Jonas Franke. « Mapping Dominant Tree Species of German Forests ». Remote Sensing 14, no 14 (11 juillet 2022) : 3330. http://dx.doi.org/10.3390/rs14143330.
Texte intégralGansner, David A., Susan L. King, Stanford L. Arner et David A. Drake. « Mapping Shifts in the Relative Stocking of Tree Species ». Northern Journal of Applied Forestry 13, no 2 (1 juin 1996) : 92–95. http://dx.doi.org/10.1093/njaf/13.2.92.
Texte intégralBjerreskov, Kristian Skau, Thomas Nord-Larsen et Rasmus Fensholt. « Classification of Nemoral Forests with Fusion of Multi-Temporal Sentinel-1 and 2 Data ». Remote Sensing 13, no 5 (3 mars 2021) : 950. http://dx.doi.org/10.3390/rs13050950.
Texte intégralGrabska, Ewa, Patrick Hostert, Dirk Pflugmacher et Katarzyna Ostapowicz. « Forest Stand Species Mapping Using the Sentinel-2 Time Series ». Remote Sensing 11, no 10 (20 mai 2019) : 1197. http://dx.doi.org/10.3390/rs11101197.
Texte intégralMaděra, Petr, Radomír Řepka, Jan Šebesta, Tomáš Koutecký et Martin Klimánek. « Vascular plant biodiversity of floodplain forest geobiocoenosis in Lower Morava river Basin (forest district Tvrdonice), Czech Republic ». Journal of Landscape Ecology 6, no 2 (1 décembre 2013) : 34–64. http://dx.doi.org/10.2478/v10285-012-0067-3.
Texte intégralYI, Hai-Yan, Yuan ZENG, Yu-Jin ZHAO, Zhao-Ju ZHENG, Jie XIONG et Dan ZHAO. « Forest species diversity mapping based on clustering algorithm ». Chinese Journal of Plant Ecology 44, no 6 (2020) : 598–615. http://dx.doi.org/10.17521/cjpe.2019.0347.
Texte intégralTagliabue, Giulia, Cinzia Panigada, Roberto Colombo, Francesco Fava, Chiara Cilia, Frédéric Baret, Kristin Vreys, Koen Meuleman et Micol Rossini. « Forest species mapping using airborne hyperspectral APEX data ». Miscellanea Geographica 20, no 1 (1 mars 2016) : 28–33. http://dx.doi.org/10.1515/mgrsd-2016-0002.
Texte intégralMurgaš, Vlastimil, Ivan Sačkov, Maroš Sedliak, Daniel Tunák et 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 décembre 2018) : 478–85. http://dx.doi.org/10.17221/92/2018-jfs.
Texte intégralShikhov, A. N., R. K. Abdullin et A. V. Semakina. « Mapping forest areas threatened by fires and windthrows (on the example of the Ural territory) ». Geodesy and Cartography 958, no 4 (20 mai 2020) : 19–30. http://dx.doi.org/10.22389/0016-7126-2020-958-4-19-30.
Texte intégralDornelles, Mariane Paludette, Gustavo Heiden, Eimear Nic Lughadha et João Iganci. « Quantifying and mapping angiosperm endemism in the Araucaria Forest ». Botanical Journal of the Linnean Society 199, no 1 (23 décembre 2021) : 449–69. http://dx.doi.org/10.1093/botlinnean/boab092.
Texte intégralThèses sur le sujet "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.
Texte intégralAdvances 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.
Texte intégralWeisgerber, 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.
Texte intégralKrahwinkler, 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.
Texte intégralSunarto, Sunarto. « Ecology and restoration of Sumatran tigers in forest and plantation landscapes ». Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/37392.
Texte intégralPh. D.
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.
Texte intégralHill, 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.
Texte intégralYadav, 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.
Texte intégralCruz, 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.
Texte intégralAccurate 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.
Texte intégralGraduation date: 2013
Livres sur le sujet "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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralHershey, 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.
Trouver le texte intégralNewton, 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.
Trouver le texte intégralUnited States. Science and Education. Plant genome research : A report of a Conference on Crop and Forest Species Genome Mapping. 1988.
Trouver le texte intégralChapitres de livres sur le sujet "Forest species mapping"
Kala, Abhishek K., Suchismita Mukhopadhyay et Akshay Paygude. « SmarteR Approach for the Mapping of Invasive Plant Species ». Dans Forest Dynamics and Conservation, 363–84. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0071-6_17.
Texte intégralKumar, Rohit, Akhilesh Singh, Uttara Pandey, Parul Srivastava et 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 ». Dans Forest Dynamics and Conservation, 249–59. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0071-6_12.
Texte intégralLöfstrand, 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 ». Dans 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.
Texte intégralHuntley, Brian John. « Biomes : Concepts, Characteristics and Terminology ». Dans Ecology of Angola, 15–42. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18923-4_2.
Texte intégralur Rahman, Amjad, Esra Gürbüz, Semih Ekercin et Shujaul Mulk Khan. « Spatial Dynamics of Forest Cover and Land Use Changes in the Western Himalayas of Pakistan ». Dans Vegetation Index and Dynamics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.98401.
Texte intégralWickramasinghe, Amila, Nazmul Khan, Alexander Filkov et Khalid Moinuddin. « Physics-Based Modelling for Mapping Firebrand Flux and Heat Load on Structures in the Wildland-Urban Interface’ ». Dans 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.
Texte intégralHorning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner et Sacha Spector. « Human interfaces and urban change ». Dans Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0019.
Texte intégralLorenț, Adrian, Marius Petrila, Vladimir Gancz, Florin Capalb, Bogdan Apostol et Nicolae-Ovidiu Badea. « Quick assessment of burn area and burn severity on black locust stands using Sentinel 2 imagery in South-West Romania ». Dans 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.
Texte intégralLeavesley, Adam, Marta Yebra, Petter Nyman et Tony Scherl. « Manipulating fire regimes in sensitive ecosystems to adapt to climate change ». Dans 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.
Texte intégralGanteaume, Anne, Bruno Guillaume et Bertrand Girardin. « Impact of the WUI vegetation management on damage to building : comparing post-fire damage assessment and CFD modelling results. » Dans 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.
Texte intégralActes de conférences sur le sujet "Forest species mapping"
Cord, Anna, Rene R. Colditz, Michael Schmidt et Stefan Dech. « Species distribution and forest type mapping in Mexico ». Dans 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009). IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5417681.
Texte intégralChehata, Nesrine, Hedia Chakroun, Rania Youssfi, Mohamed Amine Maaoui, Anis Manai, Rami Werhani, Kamel Aloui, Nizar Kouki, Wafa Talhaoui et Thouraya Sahli. « Improving Forest Species Mapping Using Sentinel-2 Time Series ». Dans 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS). IEEE, 2020. http://dx.doi.org/10.1109/m2garss47143.2020.9105159.
Texte intégralYoshii, Tatsuki, Chinsu Lin, Satoshi Tatsuhara, Satoshi Suzuki et Takuya Hiroshima. « Tree Species Mapping of a Hemiboreal Mixed Forest Using Mask R-CNN ». Dans IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9884826.
Texte intégralXiaohui Yang, Nadia Rochdi, Jinkai Zhang, James Banting, David Rolfson, Chelsea King, Karl Staenz, Shane Patterson et Brett Purdy. « Mapping tree species in a boreal forest area using RapidEye and LiDAR data ». Dans IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6946357.
Texte intégralStavrakoudis, Dimitris, Ioannis Gitas, Christos Karydas, Polychronis Kolokoussis et Vassilia Karathanassi. « Accurate multi-source forest species mapping using the multiple spectral–spatial classification approach ». Dans SPIE Remote Sensing, sous la direction de Lorenzo Bruzzone. SPIE, 2015. http://dx.doi.org/10.1117/12.2194663.
Texte intégralRochdi, N., X. Yang, K. Staenz, S. Patterson et B. Purdy. « Mapping tree species in a boreal forest area using RapidEye and Lidar data ». Dans SPIE Remote Sensing, sous la direction de Ulrich Michel et Karsten Schulz. SPIE, 2014. http://dx.doi.org/10.1117/12.2067506.
Texte intégralMartín-Luis, Antonio, Manuel Arbelo, Pedro Hernández-Leal et Manuel Arbelo-Bayó. « Mapping species distribution of Canarian Monteverde forest by field spectroradiometry and satellite imagery ». Dans SPIE Remote Sensing, sous la direction de Christopher M. U. Neale et Antonino Maltese. SPIE, 2016. http://dx.doi.org/10.1117/12.2241993.
Texte intégralBeh, B. C., M. Z. MatJafri et H. S. Lim. « Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data ». Dans SPIE Remote Sensing, sous la direction de Christopher M. U. Neale et Antonino Maltese. SPIE, 2015. http://dx.doi.org/10.1117/12.2195435.
Texte intégralWijana, Nyoman, et I. Gusti Agung Nyoman Setiawan. « Mapping and Distribution of Useful Plant Species in Bukit Kangin Forest, Pegringsingan Village, Karangasem, Bali ». Dans 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.
Texte intégralKeramitsoglou, Iphigenia, Charalambos Kontoes, Konstantinos Koutroumbas, Olga Sykioti et Nicolaos Sifakis. « Mapping of forest species and tree density using new Earth observation sensors for wildfire applications ». Dans Remote Sensing, sous la direction de Manfred Owe et Guido D'Urso. SPIE, 2005. http://dx.doi.org/10.1117/12.626600.
Texte intégralRapports d'organisations sur le sujet "Forest species mapping"
Morin, Randall S., Andrew M. Liebhold, Eugene R. Luzader, Andrew J. Lister, Kurt W. Gottschalk et 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.
Texte intégralRuiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin et 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, novembre 2020. http://dx.doi.org/10.36967/nrr-2279586.
Texte intégralRamm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner et Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks : Project summary report. National Park Service, février 2021. http://dx.doi.org/10.36967/nrr-2284511.
Texte intégralGalvin, Jeff, et Sarah Strudd. Vegetation inventory, mapping, and characterization report, Saguaro National Park : Volume II, association summaries. Sous la direction de Alice Wondrak Biel. National Park Service, mars 2021. http://dx.doi.org/10.36967/nrr-2284793.
Texte intégralGalvin, Jeff, et Sarah Studd. Vegetation inventory, mapping, and characterization report, Saguaro National Park : Volume III, type descriptions. Sous la direction de Alice Wondrak Biel. National Park Service, mars 2021. http://dx.doi.org/10.36967/nrr-2284802.
Texte intégralMevarech, Moshe, Jeremy Bruenn et Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, septembre 1995. http://dx.doi.org/10.32747/1995.7613022.bard.
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