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1. National forest inventories
: pathways for common reporting
by Tomppo, Erkki and Gschwantner, T and Lawrence, Mark and McRoberts, Ronald E and Gillis, M. D and Boudewyn, Paul and Power, Katja and Russo, Glenda and European Cooperation in Science and Technology (COST)
2010, ISBN 9789048132324, xxvi, 612
Forest surveys | Inventories | Forest reserves | Forest policy | Life Sciences | Monitoring/Environmental Analysis | Applied Ecology | Sustainable Development | Forestry | Forestry Management | Biomedical and Life Sciences | Geographical Information Systems/Cartography
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2. Full Text Specialist species of wood-inhabiting fungi struggle while generalists thrive in fragmented boreal forests
by Jenni Nordén and Reijo Penttilä and Juha Siitonen and Erkki Tomppo and Otso Ovaskainen
The Journal of ecology, ISSN 0022-0477, 5/2013, Volume 101, Issue 3, pp. 701 - 712
Natural resources | Fungi | Habitat conservation | Boreal forests | Forest habitats | Forest ecology | Plant ecology | Habitat fragmentation | Connectivity | Human ecology | Species | life‐history traits | extinction risk | connectivity | dead wood | hierarchical Bayesian models | polypores | specialization | resource use | red‐listed species | habitat fragmentation | Specialization | Hierarchical Bayesian models | Dead wood | Life-history traits | Red-listed species | Polypores | Extinction risk | Resource use | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Plant Sciences | Science & Technology | Fundamental and applied biological sciences. Psychology | General forest ecology | General aspects | Animal, plant and microbial ecology | Forestry | Biological and medical sciences | Animal and plant ecology | Generalities. Production, biomass. Quality of wood and forest products. General forest ecology | Forests and forestry | Extinction (Biology) | Niche (Ecology) | Analysis | Plant populations | Habitats | Extinction | Dispersal | Risk assessment | Competition
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3. Full Text Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories
by McRoberts, Ronald E and Naesset, Erik and Sannier, Christophe and Stehman, Stephen and Tomppo, Erkki O
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 06/2020, Volume 12, Issue 11, p. 1891
Technology | Remote Sensing | Science & Technology | Inventories | Greenhouse effect | Statistical methods | Biomass | Imagery | Estimates | Greenhouse gases | Carbon | Information sources | Remote sensing | Land use | Emission inventories | Emissions | Climate change | Maps | Intergovernmental Panel on Climate Change | Interpreters | Detection | Methods | Gain-Loss | emissions factor | IPCC good practice guidelines | activity data | removals factor | statistical estimator
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4. Full Text Advances and emerging issues in national forest inventories
by McRoberts, Ronald E and Tomppo, Erkki O and Næsset, Erik
Scandinavian journal of forest research, ISSN 0282-7581, 08/2010, Volume 25, Issue 4, pp. 368 - 381
estimation | remote sensing | interference | k-nearest neighbor | lidar | harmonization | Lidar | Estimation | Remote sensing | Interference | K-nearest neighbor | Harmonization | Life Sciences & Biomedicine | Forestry | Science & Technology | Climate change | Rainforests | Technological change | Estimating techniques | Biodiversity | Sustainable development | Developing countries--LDCs
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5. Full Text Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment
by Tomppo, Erkki and Antropov, Oleg and Praks, Jaan
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 11/2019, Volume 11, Issue 21, p. 2480
Technology | Remote Sensing | Science & Technology | genetic algorithm | synthetic aperture radar | multinomial logistic regression | k-nn | boreal region | c-band | crops | esa sentinel-1 | classification
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6. Full Text Boreal forest snow damage mapping using multi-temporal sentinel-1 Data
by Tomppo, Erkki and Antropov, Oleg and Praks, Jaan
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 02/2019, Volume 11, Issue 4, p. 384
Boreal forest | Improved k-NN | Genetic algorithm | Sentinel-1 | Support vector machine | Snow damage | Synthetic aperture radar | Technology | Remote Sensing | Science & Technology | Trees | Damage assessment | Forests | Boreal forests | Time series | Storm damage | Forest management | Mapping | Forest ecosystems | Wind damage | Remote sensing | Satellite imagery | Satellites | Maps | Algorithms | Damage detection | Winter | Radar | Lidar | Catastrophic events | Launching | Sensors | Taiga | genetic algorithm | synthetic aperture radar | support vector machine | snow damage | boreal forest | improved k-NN
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7. Full Text Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm
by McInerney, Daniel and Barrett, Frank and McRoberts, Ronald E and Tomppo, Erkki
Canadian journal of forest research, ISSN 0045-5067, 2018, Volume 48, Issue 12, pp. 1482 - 1494
genetic algorithm | plus proches voisins | k-NN | remote sensing | nearest neighbors | forest inventory | télédétection | inventaire forestier | algorithme génétique | K-NN | Genetic algorithm | Nearest neighbors | Forest inventory | Remote sensing | Life Sciences & Biomedicine | Forestry | Science & Technology | Trees | Forest management | Usage | Methods | Distribution | Genetic algorithms | Algorithms | Forest reserves | Analysis | Geospatial data | Confidence intervals | Root-mean-square errors | Satellite imagery | Forests | Computer simulation | Data processing | Interferon | Nuclear factor I | Pixels | Expressed sequence tags
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8. Full Text A questionnaire-based review of the operational use of remotely sensed data by national forest inventories
by Barrett, Frank and McRoberts, Ronald E and Tomppo, Erkki and Cienciala, Emil and Waser, Lars T
Remote sensing of environment, ISSN 0034-4257, 03/2016, Volume 174, pp. 279 - 289
Case studies | Satellite imagery | Aerial photography | Spaceborne data | COST action FP1001 | Life Sciences & Biomedicine | Technology | Remote Sensing | Environmental Sciences & Ecology | Imaging Science & Photographic Technology | Science & Technology | Environmental Sciences | Surveys | Usage | Analysis | Sensors | Forest reserves | Remote sensing | Forest ecology | Digital photography
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9. Full Text Model-calibrated k-nearest neighbor estimators
by Magnussen, Steen and Tomppo, Erkki
Scandinavian journal of forest research, ISSN 0282-7581, 02/2016, Volume 31, Issue 2, pp. 183 - 193
pseudo-empirical likelihood | root mean squared errors | cluster sampling | forest inventory | coverage rate | Bias | Life Sciences & Biomedicine | Forestry | Science & Technology | Calibration
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10. Full Text Effects of Connectivity and Spatial Resolution of Analyses on Conservation Prioritization across Large Extents
by ANNI ARPONEN and JOONA LEHTOMÄKI and JARNO LEPPÄNEN and ERKKI TOMPPO and ATTE MOILANEN
Conservation biology, ISSN 0888-8892, 4/2012, Volume 26, Issue 2, pp. 294 - 304
Protected areas | Conservation biology | Biodiversity conservation | Wildlife conservation | Habitat conservation | Prioritization | Connectivity | Forest conservation | Landscape conservation | Species | software Zonation | Zonation software | scale | selección de reservas | fine resolution | uncertainty | incertidumbre | resolución fina | reserve selection | spatial optimization | grano | resolución alta | grain | optimización espacial | escala | high resolution | High resolution | Uncertainty | Fine resolution | Grain | Scale | Reserve selection | Spatial optimization | Life Sciences & Biomedicine | Biodiversity Conservation | Environmental Sciences & Ecology | Ecology | Biodiversity & Conservation | Science & Technology | Environmental Sciences | Fundamental and applied biological sciences. Psychology | General aspects | Parks, reserves, wildlife conservation. Endangered species: population survey and restocking | Animal, plant and microbial ecology | Biological and medical sciences | Applied ecology | Conservation, protection and management of environment and wildlife | Trees | Conservation of Natural Resources | Software | Index Medicus
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