Works matching DE "FOREST canopy measurement"
Results: 21
Monitoring Vegetation Change Using Forest Cover Density Model.
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- Ecological Engineering & Environmental Technology (EEET), 2024, v. 25, n. 9, p. 369, doi. 10.12912/27197050/190928
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Desarrollo de herramientas de gestión en masas de monte bajo de castaño (Castanea sativa Mill.) en el Principado de Asturias.
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- Montes, 2021, n. 145, p. 34
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Additive Biomass Equations Based on Different Dendrometric Variables for Two Dominant Species (Larix gmelini Rupr. and Betula platyphylla Suk.) in Natural Forests in the Eastern Daxing’an Mountains, Northeast China.
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- Forests (19994907), 2018, v. 9, n. 5, p. 261, doi. 10.3390/f9050261
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Natural Regeneration Dynamics of Mora paraensis (Ducke) Ducke in Estuarine Floodplain Forests of the Amazon River.
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- Forests (19994907), 2018, v. 9, n. 2, p. 54, doi. 10.3390/f9020054
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A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA.
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- Forests (19994907), 2018, v. 9, n. 1, p. 26, doi. 10.3390/f9010026
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EVALUATION OF THE PERFORMANCE BETWEEN POST PROCESS KINEMATIC AND STATIC TECHNIQUE IN THE FOREST ENVIRONMENT.
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- Journal of Forestry Society of Croatia / Sumarski List Hrvatskoga Sumarskoga Drustva, 2021, v. 145, n. 7/8, p. 367, doi. 10.31298/sl.145.7-8.7
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Effect of Forest Canopy Structure on Wintertime Land Surface Albedo: Evaluating CLM5 Simulations With In‐Situ Measurements.
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- Journal of Geophysical Research. Atmospheres, 2021, v. 126, n. 9, p. 1, doi. 10.1029/2020JD034118
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Estimating Canopy Cover from Standard Forest Inventory Measurements in Western Oregon.
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- Forest Science, 2012, v. 58, n. 2, p. 154, doi. 10.5849/forsci.09-127
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The Influence of Multi-season Imagery on Models of Canopy Cover: A Case Study.
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- Photogrammetric Engineering & Remote Sensing, 2013, v. 79, n. 5, p. 469, doi. 10.14358/PERS.79.5.469
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Performance of non-parametric algorithms for spatial mapping of tropical forest structure.
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- Carbon Balance & Management, 2016, v. 11, n. 1, p. 1, doi. 10.1186/s13021-016-0062-9
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THE INFLUENCE OF DISTANCE ON ULTRASONIC DENSITY MEASSUREMENTS.
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- DAAAM International Scientific Book, 2013, p. 637, doi. 10.2507/daaam.scibook.2013.36
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Continental-Scale Canopy Height Modeling by Integrating National, Spaceborne, and Airborne LiDAR Data.
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- Canadian Journal of Remote Sensing, 2016, v. 42, n. 5, p. 574, doi. 10.1080/07038992.2016.1196580
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Ground-Based 3D Radar Imaging of Trees Using a 2D Synthetic Aperture.
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- Electronics (2079-9292), 2017, v. 6, n. 1, p. 11, doi. 10.3390/electronics6010011
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Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees.
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- New Phytologist, 2019, v. 222, n. 4, p. 1736, doi. 10.1111/nph.15517
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Estimating Canopy Cover from Standard Forest Inventory Measurements in Western Oregon.
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- Journal of Forestry, 2012, v. 110, n. 3, p. 121
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Considerations towards a Novel Approach for Integrating Angle-Count Sampling Data in Remote Sensing Based Forest Inventories.
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- Forests (19994907), 2017, v. 8, n. 7, p. 239, doi. 10.3390/f8070239
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INVESTIGATING THE NIGHTTIME URBAN HEAT ISLAND (CANOPY LAYER) USING MOBILE TRAVERSE METHOD: A CASE STUDY OF COLON STREET IN CEBU CITY, PHILIPPINES.
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- Pollack Periodica, 2017, v. 12, n. 3, p. 109, doi. 10.1556/606.2017.12.3.10
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果园变量喷雾技术研究现状与前景分析.
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- Transactions of the Chinese Society of Agricultural Engineering, 2017, v. 33, n. 23, p. 80, doi. 10.11975/j.issn.1002-6819.2017.23.011
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- Article
Impact of the Acquisition Geometry of Very High-Resolution Pléiades Imagery on the Accuracy of Canopy Height Models over Forested Alpine Regions.
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- Remote Sensing, 2018, v. 10, n. 10, p. 1542, doi. 10.3390/rs10101542
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Canopy Gap Mapping from Airborne Laser Scanning: An Assessment of the Positional and Geometrical Accuracy.
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- Remote Sensing, 2015, v. 7, n. 9, p. 11267, doi. 10.3390/rs70911267
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Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry.
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- Remote Sensing, 2014, v. 6, n. 3, p. 2239, doi. 10.3390/rs6032239
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- Article