Use of Uav Platform as an Autonomous Tool for Estimating Expansion on Invaded Agricultural Land

Graça, Niarkios Luiz Santos de Salles; Mitishita, Edson Aparecido; Gonçalves, José Artur Teixeira

doi:10.1590/s1982-21702017000300034

Cited by 5 publications

(4 citation statements)

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“…Misclassification is most commonly due to poor image quality that leads to incorrect training and reference data (Graça et al 2017). In our study, poor image quality was mainly caused by varying weather conditions and by insufficient overlap between the UAVacquired images.…”

Section: Misclassificationmentioning

confidence: 69%

Reaching new heights: can drones replace current methods to study plant population dynamics?

2018

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Spatially explicit data on heterogeneously distributed plant populations are difficult to quantify using either traditional field-based methods or remote sensing techniques alone. Unmanned Aerial Vehicles (UAVs) offer new means and tools for baseline monitoring of such populations. We tested the use of vegetation classification of UAV-acquired photographs as a method to capture heterogeneously distributed plant populations, using Jacobaea vulgaris as a model species. Five sites, each containing 1-4 pastures with varying J. vulgaris abundance, were selected across Schleswig-Holstein, Germany. Surveys were conducted in July 2017 when J. vulgaris was at its flowering peak. We took aerial photographs at a 50 m altitude using three digital cameras (RGB, red-edge and near-infrared). Orthomosaics were created before a pixel-based supervised classification. Classification results were evaluated for accuracy; reliability was assessed with field data collected for ground verification. An ANOVA tested the relationship between field-based abundance estimations and the supervised classifications. Overall accuracy of the classification was very high (90.6%, ± 1.76 s.e.). Kappa coefficients indicated substantial agreement between field data and image classification (C 0.65). Field-based estimations were a good predictor of the Communicated by Joseph Paul Messina.

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Section: Misclassificationmentioning

confidence: 69%

Reaching new heights: can drones replace current methods to study plant population dynamics?

2018

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“…A utilização desta tecnologia quando comparado com as técnicas de sensoriamento remoto obtidas via satélite, aérea e/ou métodos de aquisição de imagens de alta resolução, aparece como alternativa mais viável (GRAÇA, 2017). Estes veículos se apresentam superiores, pois podem voar em baixas altitudes e em velocidade lenta, permitindo a obtenção de alta resolução espacial de imagens WICH, 2012;.…”

Section: Introductionunclassified

Uso De Veículos Aéreos Não Tripulados (Vant) Para Mensuração De Processos Florestais

Sobrinho¹,

Côrte²,

Vasconcellos³

et al. 2018

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RESUMOA utilização de veículos aéreos não tripulados (VANT) tem se destacado como uma ferramenta de grande potencial para obtenção de informações em diversas áreas do conhecimento. Nesse sentido, o objetivo desta pesquisa foi avaliar o desempenho de imagens coletadas com VANT para automatizar a geração de informações, tendo em vista aplicações de silvicultura de precisão, tais como: avaliação de sobrevivência, quantificação do estoque de madeira em campo e quantificação dos resíduos de processos florestais. O desenvolvimento desta pesquisa foi realizado em três fazendas, localizadas no Centro-Oeste do estado de São Paulo. As avaliações realizadas foram de: sobrevivência aos 15 dias após o plantio de Eucalyptus grandis e Eucalyptus urograndis, quantificação do estoque de madeira em campo, e quantificação dos resíduos de processo em campo, empregando o VANT modelo X800 Geo. Os resultados obtidos com o VANT revelaram-se satisfatórios. Quanto à sobrevivência, o VANT apresentou o melhor resultado de correspondência com a recomendação, apresentando 96,86% de sobrevivência. Quanto ao estoque de madeira em campo (m³), ocorreu uma variação de 0,67% a 3,57% em relação ao estimado pelo método convencional. Os resíduos florestais apresentaram um volume médio por parcela de 0,64 m³, de modo que, o volume total foi de 9,09 m³ ha -1 . PALAVRAS-CHAVE:Drone, ortomosaico, precisão. USE OF UNMANNED AERIAL VEHICLES (UAV) FOR MEASUREMENT OF FOREST PROCESSESABSTRACT The use of unmanned aerial vehicles (UAV) has stood out as a tool with great potential for obtaining information in several areas of knowledge. In this sense, the goal of this research was to evaluate the performance of images collected with VANT to automate the generation of information for precision silviculture applications, such as: for the evaluation of survival, quantification of wood stock in the field and quantification of forest process residues. The development of this research was carried out in three farms, located in the Center-West of the state of São Paulo. The evaluations were: survival at 15 days after planting Eucalyptus grandis and

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“…Souza et al (2016) Evaluation of characteristics of submetric images obtained with UAV for analysis of anthropic actions in landscapes. Ruiz et al (2017) volume calculation in a pile of waste using UAV,GNSS 2 and LiDAR Silva et al 2016 development of criteria that support the quality of spatial data destined to the rural environmental register using UAV Neto et al (2017) mapping areas for analysis of border conflicts using UAV Graça et al (2017) Notes. 1: LIDAR -Light Detection And Ranging; 2: GNSS -Global Navigation Satellite System Despite the evolution of the different models, a unique and low-cost methodology of data acquisition combining GIS -spatial analysis -remote sensing -leachate and biogas generation was not identified.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Biogas Generation for the Solid Waste Sector Using Unmanned Aerial Vehicle With the Brazilian Model of Greenhouse Gas Emissions in Areas With No Operational History

2018

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The city of Volta Redonda, located in the state of Rio de Janeiro, has a controlled landfill of municipal solid waste (MSW) which was partially recovered in 2008. This disposal site has no data on the amount of waste volume landfilled. An Unmanned Aerial Vehicle (UAV) was used to capture images of the study area and through Geographic Information Systems (GIS) the biogas generation was determined. By overlaying the georeferenced images the contour lines were determined which enabled the creation of the 3D Digital Terrain Model (DTM) of the area with a resolution of 0.296349 m / pix. The DTM provided the determination of the volume of waste landfilled (535.755,79 m3) and the real surface area (36.770,96 m2) of the controlled landfill. These parameters allowed obtainment the maximum flow rate of methane generation of 16.539,82 m3 for 2007. The Brazilian model used to determination biogas generation in waste sector achieve a maximum flow rate of methane generation of 126.599,4 m3 for the year 2007. A significant difference between biogas generation in the two models was observed mainly due to the amount of waste determined in both models.

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Use of Uav Platform as an Autonomous Tool for Estimating Expansion on Invaded Agricultural Land

Cited by 5 publications

References 10 publications

Reaching new heights: can drones replace current methods to study plant population dynamics?

Reaching new heights: can drones replace current methods to study plant population dynamics?

Uso De Veículos Aéreos Não Tripulados (Vant) Para Mensuração De Processos Florestais

Comparative Analysis of Biogas Generation for the Solid Waste Sector Using Unmanned Aerial Vehicle With the Brazilian Model of Greenhouse Gas Emissions in Areas With No Operational History

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