Journal of Geographic Information System

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org
"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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[1] Field Investigation of Effect of Plants on Cracks of Compacted Clay Covers at a Contaminated Site
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[2] Evaluation of Performance of Polyacrylamide-Modified Compacted Clay as a Gas Barrier: Water Retention and Gas Permeability and Diffusion Characteristics
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[3] Investigation and realisation of PID and LQR control methods in Parrot Mambo minidrone
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[4] Using UAV imagery to map invasive Phragmites australis on the Crow Island State Game Area, Michigan, USA
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[5] About lizards and unmanned aerial vehicles: assessing home range and habitat selection in Lacerta agilis
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[6] Approaches and Methodologies on Mapping Vegetation Cover and Biodiversity Status Using Remote Sensing and Spatial Analysis: A Systematic Review
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[7] Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images
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[8] Comparison of low-cost methods for vegetation mapping using object based analysis of UAV imagery: a case study for the greater Côa Valley, Portugal
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[9] 草地植物物种多样性测度方法及发展趋势.
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[10] Multispectral remote sensing of vegetation responses to groundwater variability in the greater floristic region of the Western Cape, South Africa
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[11] Vegetation change analysis from 2010-2018 using aerial photography and RTK-GNSS to assist Lake Mattamuskeet Restoration Efforts in North Carolina, USA
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[12] Drones for conservation: integrating UAVs with field methods to classify satellite imagery to map plant communities–A case study of Drentsche AA, The Netherlands
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[13] Remote Sensing and UAVs for the Geomorphological and Habitat Analysis in Ephemeral and Permanent Mediterranean Streams
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[14] Mapping of non-submerged aquatic vegetation by using UAV for clarifying the status of Eichhornia crassipes (Mart.) Solms in the Nong Bong Khai Non-hunting Area …
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[15] 轻小型无人机遥感及其行业应用进展
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[16] Spatial patterns of aboveground phytogenic Si stocks in a grass-dominated catchment–results from UAS-based high-resolution remote sensing
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[17] LoRa communications as an enabler for internet of drones towards large-scale livestock monitoring in rural farms
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[18] UAVs as remote sensing platforms in plant ecology: review of applications and challenges
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[19] Teleoperation methods and enhancement techniques for mobile robots: A comprehensive survey
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[20] Non-Destructive Biomass Estimation in Mediterranean Alpha Steppes: Improving Traditional Methods for Measuring Dry and Green Fractions by Combining Proximal …
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[21] A cost-effective method to monitor vegetation changes in steppes ecosystems: A case study on remote sensing of fire and infrastructure effects in eastern …
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[22] A Hybrid Vegetation Detection Framework: Integrating Vegetation Indices and Convolutional Neural Network
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[23] An Integrated Object and Machine Learning Approach for Tree Canopy Extraction from UAV Datasets
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[24] Impacts of Groundwater and Climate Variability on Terrestrial Groundwater Dependent Ecosystems: A Review of Geospatial Assessment Approaches and Challenges …
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[25] Enumerating White‐Tailed Deer Using Unmanned Aerial Vehicles
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[26] 适用于无人机数据链电磁干扰自适应的环境监测系统
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[27] Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?
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[28] Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin
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[29] Aeronave remotamente pilotada de baixo custo no estudo de plantas invasoras em áreas de cerrado
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[30] Supporting Urban Weed Biosecurity Programs with Remote Sensing
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[31] 一种无人机数据链电磁干扰自适应新方法
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[33] UAV 영상을 이용한 하천지형 및 식생정보의 자료화-복하천과 왕숙천을 중심으로
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[34] Remote sensing semi-automatic measurements approach for monitoring bioenergetic crops of Miscanthus spp.
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[35] Identificação automática de plantas invasoras em imagens aéreas
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[36] Multi-Scale detection, mapping, and modelling geomorphic change in gravel-bed rivers with UAV remote sensing
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[37] Using Airborne Hyperspectral Imaging Spectroscopy to Accurately Monitor Invasive and Expansive Herb Plants: Limitations and Requirements of the Method
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[38] Coastal dune vegetation mapping using a multispectral sensor mounted on an UAS
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[39] Forest biometric parameter extraction using unmanned aerial vehicle to aid in forest inventory data collection.
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[40] Multi-View, Deep Learning, and Contextual Analysis: Promising Approaches for sUAS Land Cover Classification
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[41] Importance of machine learning for enhancing ecological studies using information-rich imagery
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[42] Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions
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[43] Vegetation monitoring via a novel push-broom-sensor-based hyperspectral device
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[44] 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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[45] Tracing the scientific trajectory of riparian vegetation studies: Main topics, approaches and needs in a globally changing world
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[46] Monitoring the colonization of alluvial deposits using multitemporal UAV RGB‐imagery
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[47] A Novel Mosaic Method for UAV-Based Hyperspectral Images
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[48] Geo-fencing Technique in Unmanned Aerial Vehicles for Post Disaster Management in the Internet of Things
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[49] Wetland mapping and monitoring using polarimetric and interferometric synthetic aperture radar (SAR) data and tools
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[50] Comparison of Accuracy of UAV Aerials and Ground Measurements in the Curonian Spit Dunes
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[51] Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects
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[52] Citation patterns of publications using unmanned aerial vehicles in ecology and conservation
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[53] Using unmanned aerial vehicles for vegetation mapping and identification of botanical species in wetlands
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[54] Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
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[55] Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications
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[56] 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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[57] 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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[58] Mapping grassland plant communities using a fuzzy approach to address floristic and spectral uncertainty
Applied Vegetation Science, 2018
[59] The advantages of using drones over space-borne imagery in the mapping of mangrove forests
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[60] 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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[61] Multi-view object-based classification of wetland land covers using unmanned aircraft system images
Remote Sensing of Environment, 2018
[62] Drohneneinsatz in der Vegetationsökologie: Neue Perspektiven auf Muster und Dynamik–das Beispiel Hörfeld-Moor
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[63] 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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[64] Herramientas de Percepción Remota para el Estudio y Monitoreo de la Vegetación en Zonas Áridas
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[65] VEGETATION DETECTION CLOSE TO TRANSMISSION LINES USING CLOUD DATA POINTS FROM LIDAR IN BRAZIL
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[66] Sensors networks: Application to the tracking of moving targets
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[67] Réseaux de capteurs: application à la poursuite des cibles mobiles
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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
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[69] Multi-view Object-based Classification of Wetland Land covers using Unmanned Aerial System Images
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[70] 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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[71] 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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[72] MODELAGEM DE PARÂMETROS DE UM VANT EQUIPADO COM LIDAR EM APLICAÇÕES DE MONITORAMENTO DE LINHAS DE TRANSMISSÃO DE ENERGIA …
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[73] Quantifying morphologic changes of a coastal foredune using a low-cost remotely piloted aerial system (RPAS)
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[74] MINI-UAV borne hyperspectral remote sensing: A review
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[75] Estimation of fractional vegetation cover using mean-based spectral unmixing method
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[76] Maintaining the portfolio of wetland functions on landscapes: a rapid evaluation tool for estimating wetland functions and values
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[77] Adavantages of using UAVs data to study rocky coasts geomorphology: the case study of the são paio rocky littoral, Portugal
Dissertation, Open Repository of the University of Porto, 2017
[78] Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS)
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[79] 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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[80] Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection
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[81] Assessing carbon in urban trees: benefits of using high-resolution remote sensing
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[82] High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
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[83] Unmanned Aerial Vehicles for Geographic Data Capture: A Review
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[84] UAV BASED MONITORING OF A LIVING WEIR IN THAILAND
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[85] Multi-factor modeling of above-ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China
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[86] Images from unmanned aircraft systems for surveying aquatic and riparian vegetation
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[87] 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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[88] 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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[89] Overcoming the challenges of using unmanned aircraft for bridge inspections
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[90] UAS based monitoring of a living weir in Thailand
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[91] Operational Surface Water Detection and Monitoring Using Radarsat 2
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[92] UAV Sensor Selection Based on Aerial Mapping Mission Specific Requirements
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[93] A novel CMOS-compatible, monolithically integrated line-scan hyperspectral imager covering the VIS-NIR range
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[94] 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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[95] VII Congresso Nacional de Geomorfologia. Geomorfologia 2015
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[96] Automated Identification of River Hydromorphological Features Using UAV High Resolution Aerial Imagery
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[97] Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications
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[98] 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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[99] Forest Monitoring with Drones: Application Strategies for Protected Riverine Forest Ecosystems in the Atlantic Forest of Rio de Janeiro, Brazil
[100] MODELAGEM DE PARÂMETROS DE UM VANT EQUIPADO COM LIDAR EM APLICAÇÕES DE MONITORAMENTO DE LINHAS DE TRANSMISSÃO DE …
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