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Creating a Unique Value Proposition for drone-based environmental and geophysical surveys. And I found this article! A good overview of the applications. If you know the companies who are working in this field and you are open to share, leave the company webpage as a comment. Thank You! #sharingiscaring #exploration #drone #environment #geophysics

Marine geophysical and oceanographic data from Tropic Seamount and Rio Grande Rise as part of the MarineE-tech project (2016-2020) is #DatasetOfTheWeek Data from the MarineE-tech project were collected via three platforms; ship, Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV). Shipboard data includes multibeam bathymetry, sub-bottom profiler, gravimeter and moorings data, plus CTD casts and gravity core samples. AUV data consists of high-resolution multibeam bathymetry, sub-bottom profiler, CTD, LADCP, turbidity and magnetics data, plus camera stills. ROV data consists of video and camera stills plus grab samples and drill core samples. Also available are numerical model results and input files from the TELEMAC-3D numerical model developed by HR Wallingford and used to predict currents during plume dispersion experiments. Data were collected from the Tropic Seamount in the Northeast Atlantic Ocean between October and December 2016. A second cruise, DY094, collected data from the Rio Grande Rise and Sao Paulo Ridge region in the Southwest Atlantic Ocean from late 2017 to early 2018. The project deployed robotic underwater technology including the use of the 6500m depth-rated ISIS remotely operated vehicle to sample over 100 locations of FeMn crusts and the 6000m rated AUV Autosub6000 to image the lateral extent and thickness of crusts across the seamounts. Benthic landers and moored instruments such as ADCPs (for disturbance plume monitoring) were also deployed. The JC142 oceanographic data provided verification for the TELEMAC-3D numerical model. This research will improve understanding of the processes controlling the concentration of E-tech deposits and their composition at a local scale, and for the potential impacts of mineral recovery to be identified. MarineE-tech is jointly funded by the NERC: Natural Environment Research Council,Security of Supply of Mineral Resources (SoS Minerals), Engineering and Physical Sciences Research Programme (EPSRC), and the Sao Paulo Research Foundation (FAPESP). Other parties involved include the British Geological Survey (BGS), University of São Paulo, University of Bath, University of Leicester, HR Wallingford, Marine Ecological Surveys Ltd (MESL), Secretariat of the Pacific Community (SPC) and Soil Machine Dynamics Ltd (SMD). Find out more and access the data here: https://hubs.la/Q02CpJvk0 #MEDINportal #marinedatasharing

Marine geophysical and oceanographic data from Tropic Seamount and Rio Grande Rise as part of the MarineE-tech project (2016-2020) is #DatasetOfTheWeek Data from the MarineE-tech project were collected via three platforms; ship, Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV). Shipboard data includes multibeam bathymetry, sub-bottom profiler, gravimeter and moorings data, plus CTD casts and gravity core samples. AUV data consists of high-resolution multibeam bathymetry, sub-bottom profiler, CTD, LADCP, turbidity and magnetics data, plus camera stills. ROV data consists of video and camera stills plus grab samples and drill core samples. Also available are numerical model results and input files from the TELEMAC-3D numerical model developed by HR Wallingford and used to predict currents during plume dispersion experiments. Data were collected from the Tropic Seamount in the Northeast Atlantic Ocean between October and December 2016. A second cruise, DY094, collected data from the Rio Grande Rise and Sao Paulo Ridge region in the Southwest Atlantic Ocean from late 2017 to early 2018. The project deployed robotic underwater technology including the use of the 6500m depth-rated ISIS remotely operated vehicle to sample over 100 locations of FeMn crusts and the 6000m rated AUV Autosub6000 to image the lateral extent and thickness of crusts across the seamounts. Benthic landers and moored instruments such as ADCPs (for disturbance plume monitoring) were also deployed. The JC142 oceanographic data provided verification for the TELEMAC-3D numerical model. This research will improve understanding of the processes controlling the concentration of E-tech deposits and their composition at a local scale, and for the potential impacts of mineral recovery to be identified. MarineE-tech is jointly funded by the NERC: Natural Environment Research Council,Security of Supply of Mineral Resources (SoS Minerals), Engineering and Physical Sciences Research Programme (EPSRC), and the Sao Paulo Research Foundation (FAPESP). Other parties involved include the British Geological Survey (BGS), University of São Paulo, University of Bath, University of Leicester, HR Wallingford, Marine Ecological Surveys Ltd (MESL), Secretariat of the Pacific Community (SPC) and Soil Machine Dynamics Ltd (SMD). Find out more and access the data here: https://hubs.la/Q02CpJRP0 #MEDINportal #marinedatasharing

𝐁𝐫𝐚𝐳𝐢𝐥 𝐑𝐎𝐕 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐢𝐳𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐍𝐞𝐰 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟐 Brazil ROV market size is projected to exhibit a growth rate (CAGR) of 11.20% during 2024-2032. The increasing demand for oil and gas, the exploration of deeper offshore reserves, the rising use of ROV for inspecting and maintaining underwater structures such as bridges, dams, and pipelines, the growing utilization of ROV in the scientific community for oceanographic research, marine biology studies, and underwater archaeology, and the expansion of research activities in deep-sea ecosystems are some of the factors propelling the market. 𝐆𝐫𝐚𝐛 𝐚 𝐬𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/gwRReGfm 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬: ● 𝐓𝐞𝐜𝐡-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: AI and machine learning are making ROVs smarter, enabling more autonomous and efficient underwater operations. ● 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Focus on environmental monitoring and R&D is driving ROV use beyond oil & gas, creating new market opportunities. ● 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: stricter environmental regulations and a rise in smaller, agile ROVs for diverse tasks are propelling market growth. 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/gthuJ96Y #ROV #marketresearch #business #marketanalysis #markettrends #researchreport #marketreport #marketforecast #marketgrowth #businessinsights #industryanalysis #marketoutlook #growthprojections #marketstatistics #competitiveanalysis #trendanalysis #marketinsights #imarcgroup

Conheça o Deep Drive. A mais avançada tecnologia em sistema de geotecnia remota. Deep Drive® benefits Deep Drive® is our latest land-based CPT system. It includes many important innovations that deliver a wide range of improvements to our clients, including: Safety – the system is operated remotely from our specially built control cabin, up to 1000 m away. We can therefore test in restricted areas and eliminate the risk of crush injuries and RSI to our operators Efficiency – rather than rods, Deep Drive® uses a continuous coil of steel, which passes through straightening wheels before being pushed steadily into the ground. This remote, continuous coil approach is far more efficient than the stop-start rods-based alternative. It produces uninterrupted data profiles that require less processing and result in a better data plot Depth capability – in the Netherlands we found that using the coil enabled us to push around 30 % deeper in some soil types Seismic geophysical testing – Using our seismic CPT cone and Deep Drive’s® remotely operated seismic hammer we can carry out seismic tests at multiple depths, to provide an accurate view of ground layers Data volume – in Brazil, for example, where dams can be 85 metres high and hold 6 million cubic metres of tailings, we remotely deployed many piezometers. The devices will remain in situ, providing high-quality data about changes to the dam’s water levels for many years (possibly even decades) Access – the CPT crawler uses tracks rather than wheels, so it can move across rough ground and wet terrain to obtain datasets that provide important new safety insights. https://lnkd.in/dpXEmRe8

The survey reached depths of more than 2000m. The Fugro Venturer, a geophysical vessel, collected sediment samples for environmental and chemical analysis before an autonomous underwater vehicle (AUV) captured seabed video footage.   Additionally, Fugro acquired in situ full ocean depth water profiles and water samples to measure the current biodiversity. The Geo-data collected through this survey will support the identification of potentially sensitive habitats, advance knowledge of remote seamounts, and contribute to informed project planning and resource management.   Furthermore, the geophysical survey will provide insights into the underwater landscape, ensuring the safe movement and operation of offshore assets within the designated area #whyafrica #whypowerafrica #energy #environmentalmanagement #fossilfuels #exploration #drilling #naturalresources #offshore #namibia Fugro Galp   https://lnkd.in/ewG8FwKu

The survey reached depths of more than 2000m. The Fugro Venturer, a geophysical vessel, collected sediment samples for environmental and chemical analysis before an autonomous underwater vehicle (AUV) captured seabed video footage.   Additionally, Fugro acquired in situ full ocean depth water profiles and water samples to measure the current biodiversity. The Geo-data collected through this survey will support the identification of potentially sensitive habitats, advance knowledge of remote seamounts, and contribute to informed project planning and resource management.   Furthermore, the geophysical survey will provide insights into the underwater landscape, ensuring the safe movement and operation of offshore assets within the designated area #whyafrica #whypowerafrica #energy #environmentalmanagement #fossilfuels #exploration #drilling #naturalresources #offshore #namibia Fugro Galp   https://lnkd.in/eAZ8mW26

Single Beam EchoSounder (SBE) is a device used in oceanography and marine geophysics to measure water depth. It operates by transmitting sound pulses (echoes) from the transmitter unit through water towards the seafloor. The receiver unit then detects the echoed sound pulses returning from objects on the seabed. A processing unit calculates the time taken for the signal to return after hitting objects on the seabed. Key Components: Transmitter: Generates sound pulses directed towards the seafloor. Receiver: Detects echoed sound pulses from objects on the seabed. Processing Unit:Computes the return time of the signal for depth calculation. Applications: Hydrographic Mapping: Precisely maps seabed topography. Environmental Research:Analyzes marine environments and changes. Navigation:Determines depths for safe ship navigation. Advantages: High Measurement Accuracy: Provides precise water depth measurements. Ease of Use: Relatively simple to operate and maintain. Versatile:Functions effectively in various marine conditions. Challenges: Environmental Impact:Accuracy may be affected by strong waves or sediment. Maintenance:Requires periodic maintenance for optimal performance. Technological Developments: Enhanced Accuracy: Utilizes advanced digital processing and improved acoustic frequencies. Expanded Capabilities: Develops SBE systems for deep and precise marine research. In summary, the Single Beam EchoSounder is crucial in marine research and oceanography, facilitating accurate mapping of seabed topography and supporting diverse marine applications.

The Role of Inertial Navigation Systems (INS) in Offshore Surveys The vast expanse of our oceans remains largely uncharted, with only about 15% of the global ocean floor mapped by modern survey systems. For offshore industries, understanding the seabed topography is essential. Whether it’s locating oil and gas deposits, ensuring pipeline routes are obstacle-free, or maintaining stable positions near offshore platforms, precise positioning is paramount. Inertial Navigation Systems (INS) Explained An INS calculates an object’s position, orientation, and velocity without relying on GPS technology. It’s like having an internal compass and gyroscope for marine vessels. INS devices use accelerometers and gyroscopes to measure motion and rotation, providing critical data for navigation. Let’s dive into how INS works and its key components: Sensors in an INS: Accelerometers and Gyroscopes: INS devices use accelerometers and gyroscopes as motion and rotation sensors. These constitute the Inertial Measurement Unit (IMU) and may sometimes include magnetometers. These sensors communicate with a computer unit, which translates their data into actionable controls. Together, they offer accurate information for position changes. Accelerometers: these measure changes in linear velocity, while gyroscopes measure rotational velocity. Typically, three accelerometers and three gyroscopes are used, aligned orthogonally to cover all three dimensions of movement. Dead Reckoning System: INS operates on a dead reckoning system. Initially, an external source (such as a GPS receiver or operator) provides the object’s starting position, velocity, and orientation. As the object moves, the INS continuously calculates and updates its position, velocity, and other motion elements using data from motion sensors. The following INS equipment like iXblue Pty Ltd, Survey Specialists Octans Nano, Rovins, SPAN technology from Hexagon AB | NovAtel, Ellipse-D which is The Smallest RTK INS from WASSP are revolutionizing the detection and calculation of motion, position and rotation information in offshore surveys. Credits: https://lnkd.in/d3Vzrhyy https://lnkd.in/dYeiEmXB https://lnkd.in/dpPZVmZe #motion #positioning #inertial #IMU #INS #offshoresurvey #hydrospatial

Centimeter-level-precision seafloor geodetic positioning model with self-structured empirical sound speed profile - Springer Nature Group: In-field Sound Speed Profile (SSP) measurement is still indispensable for achieving centimeter-level-precision Global Navigation Satellite System (GNSS)-Acoustic (GNSS-A) positioning in current state of the art. However, in-field SSP measurement on the one hand causes a huge cost and on the other hand prevents GNSS-A from global seafloor geodesy especially for real-time applications. We propose an Empirical Sound Speed Profile (ESSP) model with three unknown temperature parameters jointly estimated with the seafloor geodetic station coordinates, which is called the 1st-level optimization. Furthermore, regarding the sound speed variations of ESSP we propose a so-called 2nd-level optimization to achieve the centimeter-level-precision positioning for monitoring the seafloor tectonic movement. Long-term seafloor geodetic data analysis shows that, the proposed two-level optimization approach can achieve almost the same positioning result with that based on the in-field SSP. The influence of substituting the in-field SSP with ESSP on the horizontal coordinates is less than 3 mm, while that on the vertical coordinate is only 2–3 cm in the standard deviation sense. https://lnkd.in/eMg6NSxd