Works matching DE "VEGETATION classification"
Results: 1210
Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning.
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- Geo-Spatial Information Science, 2025, v. 28, n. 1, p. 145, doi. 10.1080/10095020.2024.2336604
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Vegetation mapping of Yunnan Province by integrating remote sensing, field observations, and models.
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- SCIENCE CHINA Earth Sciences, 2025, v. 68, n. 3, p. 836, doi. 10.1007/s11430-024-1509-3
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Satellite image based vegetation classification of a large area using limited ground reference data: a case study in the Usa Basin, north-east European Russia.
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- Polar Research, 2004, v. 23, n. 1, p. 51, doi. 10.1111/j.1751-8369.2004.tb00129.x
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(260) Proposal to clarify and enhance Article 9.14 of the Code with respect to the exigencies of subsequent typifications.
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- Taxon, 2016, v. 65, n. 3, p. 651, doi. 10.12705/653.31
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(234-241) Some proposals to resolve problems relating to the conservation or rejection of names, suppression of works, and binding decisions.
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- Taxon, 2016, v. 65, n. 3, p. 642, doi. 10.12705/653.26
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Genetic structure and variability of the endemic and vulnerable Vellozia gigantea (Velloziaceae) associated with the landscape in the Espinhaço Range, in southeastern Brazil: implications for conservation.
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- Genetica, 2011, v. 139, n. 4, p. 431, doi. 10.1007/s10709-011-9561-5
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Becoming fundable? Converting climate justice claims into climate finance in Mesoamerica's forests.
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- Climatic Change, 2020, v. 161, n. 2, p. 307, doi. 10.1007/s10584-019-02624-1
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Climatic change and the rise of the Manchu from Northeast China during AD 1600–1650.
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- Climatic Change, 2019, v. 156, n. 3, p. 405, doi. 10.1007/s10584-019-02471-0
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Characterization of Fuel Types for the Canadian Region Using MODIS MCD12Q1 Data.
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- Fire (2571-6255), 2024, v. 7, n. 12, p. 485, doi. 10.3390/fire7120485
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Vegetation Classification and a Biomass Inversion Model for Wildfires in Chongli Based on Remote Sensing Data.
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- Fire (2571-6255), 2024, v. 7, n. 2, p. 58, doi. 10.3390/fire7020058
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Quantifying Firebrand and Radiative Heat Flux Risk on Structures in Mallee/Mulga-Dominated Wildland–Urban Interface: A Physics-Based Approach.
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- Fire (2571-6255), 2023, v. 6, n. 12, p. 466, doi. 10.3390/fire6120466
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Modelling vegetation greenness responses to climate variability in a Mediterranean terrestrial ecosystem.
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- Environmental Monitoring & Assessment, 2008, v. 143, n. 1-3, p. 147, doi. 10.1007/s10661-007-9964-z
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Canopy Spectra and Remote Sensing of Ashe Juniper and Associated Vegetation.
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- Environmental Monitoring & Assessment, 2007, v. 130, n. 1-3, p. 403, doi. 10.1007/s10661-006-9407-2
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Preliminary Investigation of Submerged Aquatic Vegetation Mapping using Hyperspectral Remote Sensing.
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- Environmental Monitoring & Assessment, 2003, v. 81, n. 1-3, p. 383, doi. 10.1023/A:1021318217654
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Enhancing Forest and Shrubland Mapping in a Managed Forest Landscape with Landsat–LiDAR Data Fusion.
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- Natural Areas Journal, 2018, v. 38, n. 5, p. 402, doi. 10.3375/043.038.0509
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Completing an Ecosystem Classification System for Nova Scotia.
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- Natural Areas Journal, 2011, v. 31, n. 1, p. 92, doi. 10.3375/043.031.0111
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The geographic and climatic distribution of plant height diversity for 19,000 angiosperms in China.
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- Biodiversity & Conservation, 2020, v. 29, n. 2, p. 487, doi. 10.1007/s10531-019-01895-5
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Scaling-up productivity (NPP) using light or water use efficiencies (LUE, WUE) from a two-layer tropical plantation.
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- Agroforestry Systems, 2009, v. 76, n. 2, p. 409, doi. 10.1007/s10457-008-9191-9
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Household and homegarden characteristics in southwestern Bangladesh.
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- Agroforestry Systems, 2008, v. 75, n. 2, p. 129, doi. 10.1007/s10457-008-9142-5
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Spectral irradiance and stomatal conductance of enriched fallows with fast-growing trees in eastern Amazonia, Brazil.
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- Agroforestry Systems, 1999, v. 47, n. 1-3, p. 289, doi. 10.1023/a:1006240102207
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Simulating highly disturbed vegetation distribution: the case of China's Jing-Jin-Ji region.
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- PeerJ, 2020, p. 1, doi. 10.7717/peerj.9839
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面向三江保护区植被类型识别的最佳波 段组合研究.
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- Forest Research, 2022, v. 35, n. 1, p. 115, doi. 10.13275/j.cnki.lykxyj.2022.01.013
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Vegetation Communities of Great Smoky Mountains National Park.
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- Southeastern Naturalist, 2007, v. 6, n. 1, p. 35, doi. 10.1656/1528-7092(2007)6[35:VCOGSM]2.0.CO;2
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A COMPARISON OF THE VEGETATION OF THREE LIMESTONE GLADES IN CALHOUN COUNTY, ILLINOIS.
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- Southeastern Naturalist, 2002, v. 1, n. 2, p. 179, doi. 10.1656/1528-7092(2002)001[0179:ACOTVO]2.0.CO;2
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CNN影像输入尺寸和分辨率对川西针叶林植被分类精度的影响.
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- Journal of Remote Sensing, 2023, v. 27, n. 11, p. 2640, doi. 10.11834/jrs.20221868
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利用光学和SAR遥感数据的若尔盖湿地植被分类与变化监测.
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- Journal of Remote Sensing, 2023, v. 27, n. 6, p. 1414, doi. 10.11834/jrs.20221767
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考虑地物类型的Minnaert地形校正模型优化方法.
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- Journal of Remote Sensing, 2022, v. 26, n. 12, p. 2542, doi. 10.11834/jrs.20210399
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高光谱图像滚动引导递归滤波与地物分类.
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- Journal of Remote Sensing, 2019, v. 23, n. 3, p. 431, doi. 10.11834/jrs.20197510
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UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY.
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- Electrical Engineering & Electromechanics, 2019, n. 6, p. 62, doi. 10.20998/2074-272X.2019.6.09
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COMPARACIÓN DE MÉTODOS ANALÍTICOS PARA LA DETERMINACIÓN DE MATERIA ORGÁNICA EN SUELOS DE LA REGIÓN ANDINO-PATAGÓNICA: EFECTOS DE LA VEGETACIÓN Y EL TIPO DE SUELO.
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- Ciencia del Suelo, 2007, v. 25, n. 2, p. 179
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Diversity of ground beetles (Coleoptera: Carabidae) and spiders (Araneae) in roadside verges with grey hair-grass vegetation.
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- European Journal of Entomology, 2008, v. 105, n. 2, p. 257, doi. 10.14411/eje.2008.036
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Plant architecture and vegetation structure: Two ways for insect herbivores to escape parasitism.
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- European Journal of Entomology, 2008, v. 105, n. 2, p. 233, doi. 10.14411/eje.2008.033
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The effect of vegetation type on selected soil quality indicators in a semiarid rangeland in Hamedan, Iran.
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- Eurasian Journal of Soil Science, 2015, v. 4, n. 1, p. 70, doi. 10.18393/ejss.63280
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SYNTAXONOMY VEGETATIONS CLASS LEMNETE? OF THE KREMENCHUG RESERVIOR AREA.
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- Bulletin of Taras Shevchenko National University of Kyiv / Vestnik Kievskogo Nacional'Nogo Universiteta Imeni Tarasa Ševčenko, 2014, v. 66, n. 1, p. 41
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Ship-Iceberg Detection & Classification in Sentinel-1 SAR Images.
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- TransNav: International Journal on Marine Navigation & Safety of Sea Transportation, 2020, v. 14, n. 1, p. 235, doi. 10.12716/1001.14.01.30
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Alliances for agroecology: from climate change to food system change.
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- Agroecology & Sustainable Food Systems, 2020, v. 44, n. 5, p. 629, doi. 10.1080/21683565.2019.1697787
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Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-82248-3
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Simultaneous vegetation classification and mapping at large spatial scales.
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- Journal of Biogeography, 2017, v. 44, n. 12, p. 2891, doi. 10.1111/jbi.13088
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Impacts of a woody invader vary in different vegetation communities.
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- Diversity & Distributions, 2008, v. 14, n. 5, p. 829, doi. 10.1111/j.1472-4642.2008.00493.x
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- Article
Sheep in Species-Rich Temperate Grassland: Combining Behavioral Observations with Vegetation Characterization.
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- Animals (2076-2615), 2020, v. 10, n. 9, p. 1471, doi. 10.3390/ani10091471
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- Article
COMMUNITIES WITH EURPHORBIA MACULATA IN THE NORTH CAUCASUS AND THEIR SYNTAXONIC CLASSIFICATION IN EASTERN EUROPE.
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- Reliability: Theory & Applications, 2024, v. 19, p. 1580
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Professor Vasile CRISTEA at his 70<sup>th</sup> anniversary.
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- Journal of Plant Development, 2019, v. 26, p. 204
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THE WOODY VEGETATION IN THE MIDDLE STREAM OF THE NIRAJ VALLEY (ROMANIA, MUREŞ COUNTY).
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- Journal of Plant Development, 2013, v. 20, p. 149
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- Article
Phytosociological Analysis of the Boreal Oligotrophic Pine Forests in the Southern Ural Region (Russia).
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- Forests (19994907), 2024, v. 15, n. 8, p. 1461, doi. 10.3390/f15081461
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Global Overview of the Application of the Braun-Blanquet Approach in Research.
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- Forests (19994907), 2024, v. 15, n. 6, p. 937, doi. 10.3390/f15060937
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Urban Vegetation Classification for Unmanned Aerial Vehicle Remote Sensing Combining Feature Engineering and Improved DeepLabV3+.
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- Forests (19994907), 2024, v. 15, n. 2, p. 382, doi. 10.3390/f15020382
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A Quantitatively Divided Approach for the Vertical Belt of Vegetation Based on NDVI and DEM—An Analysis of Taibai Mountain.
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- Forests (19994907), 2023, v. 14, n. 10, p. 1981, doi. 10.3390/f14101981
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Mapping Vegetation Types by Different Fully Convolutional Neural Network Structures with Inadequate Training Labels in Complex Landscape Urban Areas.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1788, doi. 10.3390/f14091788
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Classifying Mountain Vegetation Types Using Object-Oriented Machine Learning Methods Based on Different Feature Combinations.
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- Forests (19994907), 2023, v. 14, n. 8, p. 1624, doi. 10.3390/f14081624
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Quantitative Assessment of Deforestation and Forest Degradation in Margalla Hills National Park (MHNP): Employing Landsat Data and Socio-Economic Survey.
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- Forests (19994907), 2023, v. 14, n. 2, p. 201, doi. 10.3390/f14020201
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