"Review of Effective Vegetation Mapping Using the UAV (Unmanned Aerial Vehicle) Method"
written by Korehisa Kaneko, Seiich Nohara,
published by Journal of Geographic Information System, Vol.6 No.6, 2014
has been cited by the following article(s):
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[12] Forest biometric parameter extraction using unmanned aerial vehicle to aid in forest inventory data collection.
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[13] Multi-View, Deep Learning, and Contextual Analysis: Promising Approaches for sUAS Land Cover Classification
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[14] Importance of machine learning for enhancing ecological studies using information-rich imagery
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[15] Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions
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[16] Vegetation monitoring via a novel push-broom-sensor-based hyperspectral device
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[17] Investigation of vegetation as a precondition for improving the management of a national nature park (on the example of Dzharylhatskyi NP)
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[18] Tracing the scientific trajectory of riparian vegetation studies: Main topics, approaches and needs in a globally changing world
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[19] Monitoring the colonization of alluvial deposits using multitemporal UAV RGB‐imagery
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[20] A Novel Mosaic Method for UAV-Based Hyperspectral Images
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[21] Geo-fencing Technique in Unmanned Aerial Vehicles for Post Disaster Management in the Internet of Things
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[22] Wetland mapping and monitoring using polarimetric and interferometric synthetic aperture radar (SAR) data and tools
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[23] Comparison of Accuracy of UAV Aerials and Ground Measurements in the Curonian Spit Dunes
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[24] Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects
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[25] Citation patterns of publications using unmanned aerial vehicles in ecology and conservation
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[26] Using unmanned aerial vehicles for vegetation mapping and identification of botanical species in wetlands
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[27] Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
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[28] Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications
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[29] 無人飛行機 (UAV) を用いた浮葉植物ヒシの分布推定手法
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[30] Maintaining the Portfolio of Wetland Functions on Landscapes: A Rapid Evaluation Tool for Estimating Wetland Functions and Values in Alberta, Canada
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[31] Mapping grassland plant communities using a fuzzy approach to address floristic and spectral uncertainty
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[32] The advantages of using drones over space-borne imagery in the mapping of mangrove forests
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[33] Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers
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[34] Multi-view object-based classification of wetland land covers using unmanned aircraft system images
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[35] Drohneneinsatz in der Vegetationsökologie: Neue Perspektiven auf Muster und Dynamik–das Beispiel Hörfeld-Moor
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[36] 生态恢复监测研究进展——基于最近三届世界生态恢复大会报告的统计分析
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[37] Herramientas de Percepción Remota para el Estudio y Monitoreo de la Vegetación en Zonas Áridas
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[38] VEGETATION DETECTION CLOSE TO TRANSMISSION LINES USING CLOUD DATA POINTS FROM LIDAR IN BRAZIL
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[39] Practical Experience of the Use of RGB Camera Images in UAV for the Generation of 3D Images in the Accurate Detection Distance of Vegetation Risk in Right-of-Way …
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[40] MODELAGEM DE PARÂMETROS DE UM VANT EQUIPADO COM LIDAR EM APLICAÇÕES DE MONITORAMENTO DE LINHAS DE TRANSMISSÃO DE ENERGIA …
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[41] Quantifying morphologic changes of a coastal foredune using a low-cost remotely piloted aerial system (RPAS)
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[42] MINI-UAV borne hyperspectral remote sensing: A review
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[43] Estimation of fractional vegetation cover using mean-based spectral unmixing method
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[44] Maintaining the portfolio of wetland functions on landscapes: a rapid evaluation tool for estimating wetland functions and values
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[45] Adavantages of using UAVs data to study rocky coasts geomorphology: the case study of the são paio rocky littoral, Portugal
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[46] Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS)
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[47] USING STRUCTURE FROM MOTION (SFM) TECHNIQUE FOR THE CHARACTERISATION OF RIVERINE SYSTEMS - CASE STUDY IN THE HEADWATERS OF THE VOLGA RIVER
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[48] Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection
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[49] Assessing carbon in urban trees: benefits of using high-resolution remote sensing
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[50] High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
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[51] Unmanned Aerial Vehicles for Geographic Data Capture: A Review
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[52] UAV BASED MONITORING OF A LIVING WEIR IN THAILAND
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[53] Multi-factor modeling of above-ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China
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[54] Images from unmanned aircraft systems for surveying aquatic and riparian vegetation
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[55] 无人机在生物多样性遥感监测中的应用现状与展望
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[56] 小型 UAV を活用した香川県有明浜の海浜植生と微地形の把握
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[57] Overcoming the challenges of using unmanned aircraft for bridge inspections
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[58] UAS based monitoring of a living weir in Thailand
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[59] Operational Surface Water Detection and Monitoring Using Radarsat 2
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[60] UAV Sensor Selection Based on Aerial Mapping Mission Specific Requirements
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[61] A novel CMOS-compatible, monolithically integrated line-scan hyperspectral imager covering the VIS-NIR range
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[62] UAV による高解像度画像を用いた津波被災海岸林の実態把握
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[63] VII Congresso Nacional de Geomorfologia. Geomorfologia 2015
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[64] Automated Identification of River Hydromorphological Features Using UAV High Resolution Aerial Imagery
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[65] Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications
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[66] Vantagens no uso de imagens obtidas com veículos autónomos não-tripulados no estudo de costas rochosas: o exemplo de S. Paio, Vila do Conde
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[68] ノ J 型 UAV に よる空撮映像を用いた南硫黄島の植物分布・植生図作成の試み
[69] Multi-view Object-based Classification of Wetland Land covers using Unmanned Aerial System Images