The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms

Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.Peer ReviewedPostprint (published version

Correlated multi-streaming in distributed interactive multimedia systems

Distributed Interactive Multimedia Environments (DIMEs) enable geographically distributed people to interact with each other in a joint media-rich virtual environment for a wide range of activities, such as art performance, medical consultation, sport training, etc. The real-time collaboration is made possible by exchanging a set of multi-modal sensory streams over the network in real time. The characterization and evaluation of such multi-stream interactive environments is challenging because the traditional Quality of Service metrics (e.g., delay, jitter) are limited to a per stream basis. In this work, we present a novel ???Bundle of Streams??? concept to de???ne correlated multi-streams in DIMEs and present new cyber-physical, spatio-temporal QoS metrics to measure QoS over bundle of streams. We realize Bundle of Streams concept by presenting a novel paradigm of Bundle Streaming as a Service (SAS). We propose and develop SAS Kernel, a generic, distributed, modular and highly ???exible streaming kernel realizing SAS concept. We validate the Bundle of Streams model by comparing the QoS performance of bundle of streams over different transport protocols in a 3D tele-immersive testbed. Also, further experiments demonstrate that the SAS Kernel incurs low overhead in delay, CPU, and bandwidth demands

Perspectives from the water: Utilizing fisher’s observations to inform SNE/ MA windowpane science and managemen

Within fisheries, stakeholders often have varying viewpoints regarding natural marine resources, and use different sets information to evaluate their condition. Evaluating a resource with different sets of information can lead to different conclusions. Windowpane flounder (Scophthalmus aquosus) are a managed finfish species in the northwest Atlantic whose regulations have the potential to limit harvest opportunities for target species. We analyzed commercial trip and catch information from video data to understand local densities of windowpane flounder in conjunction with fisheries independent surveys. Video monitoring data from three Rhode Island commercial fisher’s vessels and fisheries independent trawl survey data were analyzed to understand the geographic distribution of the stock as well as overlap with temporary closed areas. Biomass data from the fisheries-dependent and fisheries-independent surveys were combined with a spatial-temporal model that accounted for differences in catchability among vessels and spatial autocorrelation. A separate analysis of esti-mated discard rates with observer data was also conducted to determine how the distribution of windowpane discards in Southern New England compared to the distribution of model predicted windowpane abundance. In agreement with the fishermen’s observations, the temporary closed areas were not located where the highest densities of windowpane flounder occurred. The temporary closed areas, however, were located where the highest rates of discards occurred and thus where fishing had the greatest impact on the stock. The integration of verified fishery-dependent data with the scientific surveys has the potential to create a single set of information that is trusted by all user groups

Diagnóstico de cultivos utilizando procesamiento digital de imágenes y tecnologías de agricultura de precisión

This paper presents the results of the design and implementation of a system for capturing and processing images of agricultural crops. The design includes the development of software and hardware for image acquisition using a model helicopter equipped with video cameras with a resolution of 640x480 pixels. A software application was developed for performing differential correction of errors generated by the Global Positioning System (GPS) and for allowing the monitoring of the position of the helicopter in real time. A telemetry system consisting of an inertial measurement unit, a magnetometer, a pressure and altitude sensor, one GPS and two photo cameras were developed. Finally, image processing software was developed to determine some vegetation indexes and generation of three-dimensional maps of crops.Este artículo presenta los resultados del diseño e implementación de un sistema de captura y procesamiento de imágenes de cultivos agrícolas. El diseño incluye el desarrollo de software y hardware para la adquisición de imágenes mediante un helicóptero de aeromodelismo equipado con cámaras de resolución de 640x480 pixeles. Se desarrolló una aplicación en software para realizar la corrección diferencial de errores generados por el Sistema de Posicionamiento Global (GPS por sus siglas en inglés), permitiendo también el monitoreo de la posición del helicóptero en tiempo real. Se desarrolló un sistema de telemetría compuesto de una unidad de medida inercial, un magnetómetro, un sensor de presión y altitud, un GPS y dos cámaras fotográficas. Finalmente se elaboró un software de procesamiento de imágenes para determinar algunos índices de vegetación y generación de mapas tridimensionales de los cultivos