Works matching DE "AIRBORNE lasers"
Results: 1606
Remote sensing - based information extraction of the geological landscape in the Zhada earth forest distribution area.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 148, doi. 10.6046/zrzyyg.2022056
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Digitalna procjena svojstava krošnje jabuka sorte 'Gala' u voćnjaku s LIDAR-ovim mjernim sustavom.
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- Glasnik Zastite Bilja, 2019, v. 42, n. 6, p. 58, doi. 10.31727/gzb.42.6.8
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Characterization, concentration and risk assessment of airborne particles using car engine air filter (case study: Tehran metropolis).
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- Environmental Geochemistry & Health, 2019, v. 41, n. 6, p. 2649, doi. 10.1007/s10653-019-00319-1
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Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach.
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- Environmetrics, 2024, v. 35, n. 4, p. 1, doi. 10.1002/env.2840
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方差分析引导的高阶马尔可夫网络及其在 点云建筑物提取中的应用.
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- Journal of Remote Sensing, 2023, v. 27, n. 4, p. 1021, doi. 10.11834/jrs.20221421
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塞罕坝林场机载综合遥感试验.
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- Journal of Remote Sensing, 2021, v. 25, n. 4, p. 904, doi. 10.11834/jrs.20210222
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Manufacture of Automotive Component Using Reverse Engineering and Manufacturing Additive Techniques.
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- ESTEEM, 2023, v. 19, p. 63
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An Improved Water-Land Discriminator Using Laser Waveform Amplitudes and Point Cloud Elevations of Airborne LIDAR.
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- Journal of Coastal Research, 2021, v. 37, n. 6, p. 1158, doi. 10.2112/JCOASTRES-D-20-00185.1
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- Article
Prof. Dr. Keqi Zhang.
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- Journal of Coastal Research, 2021, v. 37, n. 4, p. 882, doi. 10.2112/JCOASTRES-D-21A-00004.1
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Machine Learning Approaches for Quantifying Margalefidinium Polykrikoides Bloom from Airborne Hyperspectral Imagery.
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- Journal of Coastal Research, 2020, v. 102, p. 202, doi. 10.2112/SI102-025.1
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Utilizing Airborne Laser Scanning and Geoid Model for Near-coast Improvements in Sea Surface Height and Marine Dynamics.
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- Journal of Coastal Research, 2020, v. 95, p. 1339, doi. 10.2112/SI95-257.1
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Volumetric changes of a soft cliff coast 2008-2012 based on DTM from airborne laser scanning (Wolin Island, southern Baltic Sea).
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- Journal of Coastal Research, 2014, v. 70, p. 59, doi. 10.2112/SI70-011.1
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Volumetric changes of a soft cliff coast 2008-2012 based on DTM from airborne laser scanning (Wolin Island, southern Baltic Sea).
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- Journal of Coastal Research, 2014, p. 59, doi. 10.2112/SI70-011.1
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Habitat selection of an old‐growth forest specialist in managed forests.
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- Animal Conservation, 2020, v. 23, n. 5, p. 547, doi. 10.1111/acv.12567
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Urban forest management tools.
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- Revista de Gestão Ambiental e Sustentabilidade (GeAS), 2021, v. 10, n. 1, p. 1, doi. 10.5585/geas.v10i1.18131
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Contribution of peeling host for epiphyte abundance in two tropical dry forests in the "El Cielo Biosphere Reserve", Mexico.
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- Plant Species Biology, 2021, v. 36, n. 2, p. 269, doi. 10.1111/1442-1984.12317
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Individual Tree Crown Detection Using UAV Orthomosaic.
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- Engineering, Technology & Applied Science Research, 2021, v. 11, n. 2, p. 7047, doi. 10.48084/etasr.4093
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COMPARAISON DE MÉTHODES DE SPATIALISATION POUR L'AGRÉGATION PAR PARCELLE DES ESTIMATIONS DE PARAMÈTRES FORESTIERS PAR LIDAR AÉROPORTÉ.
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- Revue Francaise de Photogrammetrie et de Teledetection, 2015, n. 211-212, p. 93, doi. 10.52638/rfpt.2015.548
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- Article
ESTIMATION DE PARAMÈTRES FORESTIERS PAR DONNÉES LIDAR AÉROPORTÉ ET IMAGERIE SATELLITAIRE RAPIDEYE : ÉTUDE DE SENSIBILITÉ.
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- Revue Francaise de Photogrammetrie et de Teledetection, 2015, n. 211-212, p. 71, doi. 10.52638/rfpt.2015.544
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Cover Image.
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- Ecology, 2024, v. 105, n. 7, p. 1, doi. 10.1002/ecy.4086
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- Article
Stand inventory data from the 10‐ha forest research plot in Uholka: 15 yr of primeval beech forest development.
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- Ecology, 2019, v. 100, n. 11, p. N.PAG, doi. 10.1002/ecy.2845
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Investigation of Atmospheric Aerosol Size Distributions from Ground-Based Solar Spectrometer Measurements Synthesized with Satellite Data.
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- American Journal of Undergraduate Research, 2019, v. 16, n. 1, p. 23, doi. 10.33697/ajur.2019.013
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The extent and magnitude of edge effects on woody vegetation in road‐bisected treed peatlands in boreal Alberta, Canada.
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- Ecohydrology, 2022, v. 15, n. 7, p. 1, doi. 10.1002/eco.2455
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Classification of compressed full-waveform airborne lidar data.
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- Remote Sensing Letters, 2024, v. 15, n. 7, p. 729, doi. 10.1080/2150704X.2024.2371081
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Registration of terrestrial laser scanning data in forest areas using smartphone positioning and orientation data.
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- Remote Sensing Letters, 2023, v. 14, n. 4, p. 381, doi. 10.1080/2150704X.2023.2206974
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Untangling the effect of urban vegetation type and structure on spectrally unmixed greenness.
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- Remote Sensing Letters, 2021, v. 12, n. 12, p. 1216, doi. 10.1080/2150704X.2021.1978580
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Estimating diameter at breast height using personal laser scanning data based on stem surface nodes in polar coordinates.
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- Remote Sensing Letters, 2020, v. 11, n. 12, p. 1051, doi. 10.1080/2150704X.2020.1820613
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Tree crown segmentation based on a tree crown density model derived from Airborne Laser Scanning.
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- Remote Sensing Letters, 2019, v. 10, n. 12, p. 1143, doi. 10.1080/2150704X.2019.1658237
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Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra.
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- Remote Sensing Letters, 2017, v. 8, n. 2, p. 175, doi. 10.1080/2150704X.2016.1246770
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Assessment of boreal forest height from WorldView-2 satellite stereo images.
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- Remote Sensing Letters, 2016, v. 7, n. 12, p. 1150, doi. 10.1080/2150704X.2016.1219424
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Change detection of mountain birch using multi-temporal ALS point clouds.
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- Remote Sensing Letters, 2013, v. 4, n. 2, p. 190, doi. 10.1080/2150704X.2012.714087
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RIEGL Hydrographic Airborne Laser Scanner.
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- Journal of Ocean Technology, 2012, v. 7, n. 2, p. 92
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- Article
Laser scanner technology in the assessment of mining tailings surface changes and rehabilitation interventions after the Fundão dam rupture, Brazil.
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- Environmental Earth Sciences, 2024, v. 83, n. 10, p. 1, doi. 10.1007/s12665-024-11588-0
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Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests.
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- Earth System Science Data Discussions, 2022, p. 1, doi. 10.5194/essd-2022-39
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Spatial scale applicability of 4-Scale geometrical optics model canopy reflectance simulation.
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- Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao, 2023, v. 34, n. 3, p. 605, doi. 10.13287/j.1001-9332.202303.025
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Research on visualization of cotton canopy structure and extraction of feature parameters based on dual-perspective point cloud data.
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- International Journal of Remote Sensing, 2024, v. 45, n. 17, p. 6043, doi. 10.1080/01431161.2024.2384099
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Evaluating the transferability of airborne laser scanning derived stem size prediction models for Pinus taeda L. stem size estimation to two different locations and acquisition specifications.
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- International Journal of Remote Sensing, 2024, v. 45, n. 16, p. 5267, doi. 10.1080/01431161.2024.2370499
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A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data.
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- International Journal of Remote Sensing, 2024, v. 45, n. 4, p. 1079, doi. 10.1080/01431161.2024.2305630
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Evaluating global vegetation products for application in heterogeneous forest-savanna landscapes.
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- International Journal of Remote Sensing, 2024, v. 45, n. 2, p. 492, doi. 10.1080/01431161.2023.2299278
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- Article
Classification of tree forms in aerial LiDAR point clouds using CNN for 3D tree modelling.
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- International Journal of Remote Sensing, 2023, v. 44, n. 22, p. 7156, doi. 10.1080/01431161.2023.2282405
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Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest.
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- International Journal of Remote Sensing, 2023, v. 44, n. 17, p. 5375, doi. 10.1080/01431161.2023.2248561
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Automatic registration framework for multi-platform point cloud data in natural forests.
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- International Journal of Remote Sensing, 2023, v. 44, n. 15, p. 4596, doi. 10.1080/01431161.2023.2235636
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DGCN-ED: dynamic graph convolutional networks with encoder–decoder structure and its application for airborne LiDAR point classification.
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- International Journal of Remote Sensing, 2023, v. 44, n. 11, p. 3489, doi. 10.1080/01431161.2023.2224098
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Estimating canopy height change using machine learning by coupling WorldView-2 stereo imagery with Landsat-7 data.
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- International Journal of Remote Sensing, 2023, v. 44, n. 2, p. 631, doi. 10.1080/01431161.2023.2169596
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Effect of varied unmanned aerial vehicle laser scanning pulse density on accurately quantifying forest structure.
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- International Journal of Remote Sensing, 2022, v. 43, n. 2, p. 721, doi. 10.1080/01431161.2021.2023229
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Tree crown segmentation in three dimensions using density models derived from airborne laser scanning.
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- International Journal of Remote Sensing, 2022, v. 43, n. 1, p. 299, doi. 10.1080/01431161.2021.2018149
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An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR.
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- International Journal of Remote Sensing, 2021, v. 42, n. 24, p. 9187, doi. 10.1080/01431161.2021.1975844
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CanopyShotNoise – An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis.
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- International Journal of Remote Sensing, 2021, v. 42, n. 18, p. 6837, doi. 10.1080/01431161.2021.1944695
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Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR).
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- International Journal of Remote Sensing, 2021, v. 42, n. 10, p. 3731, doi. 10.1080/01431161.2021.1880662
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Factual approach for tropical forest parameters measurement and monitoring: future option with a focus on synergetic use of airborne and terrestrial LiDAR technologies.
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- International Journal of Remote Sensing, 2021, v. 42, n. 9, p. 3219, doi. 10.1080/2150704X.2020.1862436
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