Artigos de revistas sobre o tema "Canopy volume detection"
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Wang, Mengmeng, Hanjie Dou, Hongyan Sun, Changyuan Zhai, Yanlong Zhang e Feixiang Yuan. "Calculation Method of Canopy Dynamic Meshing Division Volumes for Precision Pesticide Application in Orchards Based on LiDAR". Agronomy 13, n.º 4 (7 de abril de 2023): 1077. http://dx.doi.org/10.3390/agronomy13041077.
Texto completo da fonteGu, Chenchen, Xiu Wang, Xiaole Wang, Fuzeng Yang e Changyuan Zhai. "Research Progress on Variable-Rate Spraying Technology in Orchards". Applied Engineering in Agriculture 36, n.º 6 (2020): 927–42. http://dx.doi.org/10.13031/aea.14201.
Texto completo da fonteRoman, Carla, Hongyoung Jeon, Heping Zhu, Javier Campos e Erdal Ozkan. "Stereo Vision Controlled Variable Rate Sprayer for Specialty Crops: Part II. Sprayer Development and Performance Evaluation". Journal of the ASABE 66, n.º 5 (2023): 1005–17. http://dx.doi.org/10.13031/ja.15578.
Texto completo da fonteGu, Chenchen, Changyuan Zhai, Xiu Wang e Songlin Wang. "CMPC: An Innovative Lidar-Based Method to Estimate Tree Canopy Meshing-Profile Volumes for Orchard Target-Oriented Spray". Sensors 21, n.º 12 (21 de junho de 2021): 4252. http://dx.doi.org/10.3390/s21124252.
Texto completo da fonteZhou, Huitao, Weidong Jia, Yong Li e Mingxiong Ou. "Method for Estimating Canopy Thickness Using Ultrasonic Sensor Technology". Agriculture 11, n.º 10 (16 de outubro de 2021): 1011. http://dx.doi.org/10.3390/agriculture11101011.
Texto completo da fonteSaha, Kowshik Kumar, Nikos Tsoulias, Cornelia Weltzien e Manuela Zude-Sasse. "Estimation of Vegetative Growth in Strawberry Plants Using Mobile LiDAR Laser Scanner". Horticulturae 8, n.º 2 (19 de janeiro de 2022): 90. http://dx.doi.org/10.3390/horticulturae8020090.
Texto completo da fonteLim, Kevin, Paul Treitz, Michael Wulder, Benoît St-Onge e Martin Flood. "LiDAR remote sensing of forest structure". Progress in Physical Geography: Earth and Environment 27, n.º 1 (março de 2003): 88–106. http://dx.doi.org/10.1191/0309133303pp360ra.
Texto completo da fonteColaço, A. F., R. G. Trevisan, J. P. Molin, J. R. Rosell-Polo e A. Escolà. "Orange tree canopy volume estimation by manual and LiDAR-based methods". Advances in Animal Biosciences 8, n.º 2 (1 de junho de 2017): 477–80. http://dx.doi.org/10.1017/s2040470017001133.
Texto completo da fonteHermosilla, Txomin, Luis A. Ruiz, Alexandra N. Kazakova, Nicholas C. Coops e L. Monika Moskal. "Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data". International Journal of Wildland Fire 23, n.º 2 (2014): 224. http://dx.doi.org/10.1071/wf13086.
Texto completo da fonteLeite, Rodrigo Vieira, Cibele Hummel do Amaral, Raul de Paula Pires, Carlos Alberto Silva, Carlos Pedro Boechat Soares, Renata Paulo Macedo, Antonilmar Araújo Lopes da Silva, Eben North Broadbent, Midhun Mohan e Hélio Garcia Leite. "Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches". Remote Sensing 12, n.º 9 (9 de maio de 2020): 1513. http://dx.doi.org/10.3390/rs12091513.
Texto completo da fonteKumbhar, Avadhut Shankar Salavi, e Prof Mrs S. S. Patil. "Orchard Mapping with Deep Learning Semantic Segmentation". International Journal for Research in Applied Science and Engineering Technology 11, n.º 11 (30 de novembro de 2023): 174–76. http://dx.doi.org/10.22214/ijraset.2023.56465.
Texto completo da fonteZhang, Wenli, Xinyu Peng, Tingting Bai, Haozhou Wang, Daisuke Takata e Wei Guo. "A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees". Remote Sensing 16, n.º 9 (28 de abril de 2024): 1570. http://dx.doi.org/10.3390/rs16091570.
Texto completo da fonteRömer, Christoph, Mirwaes Wahabzada, Agim Ballvora, Francisco Pinto, Micol Rossini, Cinzia Panigada, Jan Behmann et al. "Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis". Functional Plant Biology 39, n.º 11 (2012): 878. http://dx.doi.org/10.1071/fp12060.
Texto completo da fonteParr, Baden, Mathew Legg, Stuart Bradley e Fakhrul Alam. "Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array". Sensors 21, n.º 6 (20 de março de 2021): 2182. http://dx.doi.org/10.3390/s21062182.
Texto completo da fonteAPOSTOL, Bogdan, Adrian LORENT, Marius PETRILA, Vladimir GANCZ e Ovidiu BADEA. "Height Extraction and Stand Volume Estimation Based on Fusion Airborne LiDAR Data and Terrestrial Measurements for a Norway Spruce [Picea abies (L.) Karst.] Test Site in Romania". Notulae Botanicae Horti Agrobotanici Cluj-Napoca 44, n.º 1 (14 de junho de 2016): 313–23. http://dx.doi.org/10.15835/nbha44110155.
Texto completo da fonteHyyppä, Eric, Xiaowei Yu, Harri Kaartinen, Teemu Hakala, Antero Kukko, Mikko Vastaranta e Juha Hyyppä. "Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests". Remote Sensing 12, n.º 20 (13 de outubro de 2020): 3327. http://dx.doi.org/10.3390/rs12203327.
Texto completo da fonteLiu, Chong, e Zhen Feng Shao. "Estimation of Forest Carbon Storage Based on Airborne LiDAR Data". Applied Mechanics and Materials 195-196 (agosto de 2012): 1314–20. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.1314.
Texto completo da fonteAlvites, Cesar, Hannah O’Sullivan, Saverio Francini, Marco Marchetti, Giovanni Santopuoli, Gherardo Chirici, Bruno Lasserre, Michela Marignani e Erika Bazzato. "High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data". Remote Sensing 16, n.º 7 (5 de abril de 2024): 1281. http://dx.doi.org/10.3390/rs16071281.
Texto completo da fonteBlackman, Raoul, e Fei Yuan. "Detecting Long-Term Urban Forest Cover Change and Impacts of Natural Disasters Using High-Resolution Aerial Images and LiDAR Data". Remote Sensing 12, n.º 11 (4 de junho de 2020): 1820. http://dx.doi.org/10.3390/rs12111820.
Texto completo da fonteLopes Queiroz, Gustavo, Gregory McDermid, Julia Linke, Christopher Hopkinson e Jahan Kariyeva. "Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR". Forests 11, n.º 2 (25 de janeiro de 2020): 141. http://dx.doi.org/10.3390/f11020141.
Texto completo da fonteRaman, Mugilan Govindasamy, Eduardo Fermino Carlos e Sindhuja Sankaran. "Optimization and Evaluation of Sensor Angles for Precise Assessment of Architectural Traits in Peach Trees". Sensors 22, n.º 12 (18 de junho de 2022): 4619. http://dx.doi.org/10.3390/s22124619.
Texto completo da fontePirotti, F., C. Paterno e M. Pividori. "APPLICATION OF TREE DETECTION METHODS OVER LIDAR DATA FOR FOREST VOLUME ESTIMATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (21 de agosto de 2020): 1055–60. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1055-2020.
Texto completo da fonteSun, Wang, Ding, Lu e Sun. "Remote Measurement of Apple Orchard Canopy Information Using Unmanned Aerial Vehicle Photogrammetry". Agronomy 9, n.º 11 (19 de novembro de 2019): 774. http://dx.doi.org/10.3390/agronomy9110774.
Texto completo da fonteSangjan, Worasit, e Sindhuja Sankaran. "Phenotyping Architecture Traits of Tree Species Using Remote Sensing Techniques". Transactions of the ASABE 64, n.º 5 (2021): 1611–24. http://dx.doi.org/10.13031/trans.14419.
Texto completo da fonteDi Gennaro, Salvatore Filippo, Carla Nati, Riccardo Dainelli, Laura Pastonchi, Andrea Berton, Piero Toscano e Alessandro Matese. "An Automatic UAV Based Segmentation Approach for Pruning Biomass Estimation in Irregularly Spaced Chestnut Orchards". Forests 11, n.º 3 (12 de março de 2020): 308. http://dx.doi.org/10.3390/f11030308.
Texto completo da fonteMuhojoki, Jesse, Daniella Tavi, Eric Hyyppä, Matti Lehtomäki, Tamás Faitli, Harri Kaartinen, Antero Kukko, Teemu Hakala e Juha Hyyppä. "Benchmarking Under- and Above-Canopy Laser Scanning Solutions for Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest Conditions". Remote Sensing 16, n.º 10 (13 de maio de 2024): 1721. http://dx.doi.org/10.3390/rs16101721.
Texto completo da fonteYan, Tingting, Heping Zhu, Li Sun, Xiaochan Wang e Peter Ling. "Investigation of an Experimental Laser Sensor-Guided Spray Control System for Greenhouse Variable-Rate Applications". Transactions of the ASABE 62, n.º 4 (2019): 899–911. http://dx.doi.org/10.13031/trans.13366.
Texto completo da fonteHollaus, M., W. Wagner, K. Schadauer, B. Maier e K. Gabler. "Growing stock estimation for alpine forests in Austria: a robust lidar-based approach". Canadian Journal of Forest Research 39, n.º 7 (julho de 2009): 1387–400. http://dx.doi.org/10.1139/x09-042.
Texto completo da fonteGao, Sha, Zhengnan Zhang e Lin Cao. "Individual Tree Structural Parameter Extraction and Volume Table Creation Based on Near-Field LiDAR Data: A Case Study in a Subtropical Planted Forest". Sensors 21, n.º 23 (6 de dezembro de 2021): 8162. http://dx.doi.org/10.3390/s21238162.
Texto completo da fonteMikita, Tomáš, e Petr Balogh. "Usage of Geoprocessing Services in Precision Forestry for Wood Volume Calculation and Wind Risk Assessment". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, n.º 3 (2015): 793–801. http://dx.doi.org/10.11118/actaun201563030793.
Texto completo da fonteKuo, Kuangting, Kenta Itakura e Fumiki Hosoi. "Leaf Segmentation Based on k-Means Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR". Remote Sensing 11, n.º 21 (29 de outubro de 2019): 2536. http://dx.doi.org/10.3390/rs11212536.
Texto completo da fonteDou, Hanjie, Changyuan Zhai, Liping Chen, Xiu Wang e Wei Zou. "Comparison of Orchard Target-Oriented Spraying Systems Using Photoelectric or Ultrasonic Sensors". Agriculture 11, n.º 8 (8 de agosto de 2021): 753. http://dx.doi.org/10.3390/agriculture11080753.
Texto completo da fonteTsoulias, Nikos, Dimitrios S. Paraforos, Spyros Fountas e Manuela Zude-Sasse. "Estimating Canopy Parameters Based on the Stem Position in Apple Trees Using a 2D LiDAR". Agronomy 9, n.º 11 (11 de novembro de 2019): 740. http://dx.doi.org/10.3390/agronomy9110740.
Texto completo da fonteRouzbeh Kargar, Ali, Richard MacKenzie, Gregory P. Asner e Jan van Aardt. "A Density-Based Approach for Leaf Area Index Assessment in a Complex Forest Environment Using a Terrestrial Laser Scanner". Remote Sensing 11, n.º 15 (31 de julho de 2019): 1791. http://dx.doi.org/10.3390/rs11151791.
Texto completo da fonteParker, Robert C., e David L. Evans. "LiDAR Forest Inventory with Single-Tree, Double-, and Single-Phase Procedures". International Journal of Forestry Research 2009 (2009): 1–6. http://dx.doi.org/10.1155/2009/864108.
Texto completo da fonteSzostak, Marta, e Marek Pająk. "LiDAR Point Clouds Usage for Mapping the Vegetation Cover of the “Fryderyk” Mine Repository". Remote Sensing 15, n.º 1 (30 de dezembro de 2022): 201. http://dx.doi.org/10.3390/rs15010201.
Texto completo da fonteXi, Zhouxin, Christopher Hopkinson, Stewart B. Rood, Celeste Barnes, Fang Xu, David Pearce e Emily Jones. "A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring". Sensors 19, n.º 18 (12 de setembro de 2019): 3943. http://dx.doi.org/10.3390/s19183943.
Texto completo da fonteVIZIREANU, Ioana, Andreea CALCAN, Georgiana GRIGORAS e Dan RADUCANU. "Detection of trees features from a forestry area using airborne LiDAR data". INCAS BULLETIN 13, n.º 1 (5 de março de 2020): 225–36. http://dx.doi.org/10.13111/2066-8201.2021.13.1.23.
Texto completo da fonteSurfleet, Christopher G., Brian Dietterick e Arne Skaugset. "Change detection of storm runoff and sediment yield using hydrologic models following wildfire in a coastal redwood forest, California". Canadian Journal of Forest Research 44, n.º 6 (junho de 2014): 572–81. http://dx.doi.org/10.1139/cjfr-2013-0328.
Texto completo da fonteMeyer, Victoria, Sassan Saatchi, David B. Clark, Michael Keller, Grégoire Vincent, António Ferraz, Fernando Espírito-Santo, Marcus V. N. d'Oliveira, Dahlia Kaki e Jérôme Chave. "Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes". Biogeosciences 15, n.º 11 (8 de junho de 2018): 3377–90. http://dx.doi.org/10.5194/bg-15-3377-2018.
Texto completo da fonteGoldbergs, Grigorijs. "Comparison of Canopy Height Metrics from Airborne Laser Scanner and Aerial/Satellite Stereo Imagery to Assess the Growing Stock of Hemiboreal Forests". Remote Sensing 15, n.º 6 (21 de março de 2023): 1688. http://dx.doi.org/10.3390/rs15061688.
Texto completo da fontePark, Taejin. "Potential Lidar Height, Intensity, and Ratio Parameters for Plot Dominant Species Discrimination and Volume Estimation". Remote Sensing 12, n.º 19 (8 de outubro de 2020): 3266. http://dx.doi.org/10.3390/rs12193266.
Texto completo da fonteGoerndt, Michael E., Vincente J. Monleon e Hailemariam Temesgen. "Relating Forest Attributes with Area- and Tree-Based Light Detection and Ranging Metrics for Western Oregon". Western Journal of Applied Forestry 25, n.º 3 (1 de julho de 2010): 105–11. http://dx.doi.org/10.1093/wjaf/25.3.105.
Texto completo da fonteMatinnia, Benyamin, Aidin Parsakhoo, Jahangir Mohamadi e Shaban Shataee Jouibary. "Study of the LiDAR accuracy in mapping forest road alignments and estimating the earthwork volume". Journal of Forest Science 64, No. 11 (3 de dezembro de 2018): 469–77. http://dx.doi.org/10.17221/87/2018-jfs.
Texto completo da fonteAli-Sisto, D., e P. Packalen. "COMPARISON OF 3D POINT CLOUDS FROM AERIAL STEREO IMAGES AND LIDAR FOR FOREST CHANGE DETECTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (19 de outubro de 2017): 1–5. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-1-2017.
Texto completo da fonteGarcia Millan, Virginia E., Cassidy Rankine e G. Arturo Sanchez-Azofeifa. "Crop Loss Evaluation Using Digital Surface Models from Unmanned Aerial Vehicles Data". Remote Sensing 12, n.º 6 (18 de março de 2020): 981. http://dx.doi.org/10.3390/rs12060981.
Texto completo da fonteMachimura, Takashi, Ayana Fujimoto, Kiichiro Hayashi, Hiroaki Takagi e Satoru Sugita. "A Novel Tree Biomass Estimation Model Applying the Pipe Model Theory and Adaptable to UAV-Derived Canopy Height Models". Forests 12, n.º 2 (23 de fevereiro de 2021): 258. http://dx.doi.org/10.3390/f12020258.
Texto completo da fonteWang, Jinghua, Xiang Li, Guijun Yang, Fan Wang, Sen Men, Bo Xu, Ze Xu, Haibin Yang e Lei Yan. "Research on Tea Trees Germination Density Detection Based on Improved YOLOv5". Forests 13, n.º 12 (8 de dezembro de 2022): 2091. http://dx.doi.org/10.3390/f13122091.
Texto completo da fonteParker, Robert C., e Patrick A. Glass. "High- Versus Low-Density LiDAR in a Double-Sample Forest Inventory". Southern Journal of Applied Forestry 28, n.º 4 (1 de novembro de 2004): 205–10. http://dx.doi.org/10.1093/sjaf/28.4.205.
Texto completo da fonteParker, Robert C., e A. Lee Mitchel. "Smoothed Versus Unsmoothed LiDAR in a Double-Sample Forest Inventory". Southern Journal of Applied Forestry 29, n.º 1 (1 de fevereiro de 2005): 40–47. http://dx.doi.org/10.1093/sjaf/29.1.40.
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