EmperoR

BAE Systems is celebrating alongside its customers at the Environmental Defense Fund (EDF) following the successful launch of the MethaneSAT satellite from Vandenberg Space Force Base in California today. The satellite will provide the public with reliable scientific data about the sources and scale of methane emissions globally, with the ultimate goal of driving reductions in the near future. MethaneSAT’s primary instrument includes a BAE Systems-built spectrometer that will identify and quantify methane emissions by measuring the narrow part of the infrared spectrum where the gas absorbs light reflected off the Earth MethaneSAT’s primary instrument includes a BAE Systems-built spectrometer that will identify and quantify methane emissions by measuring the narrow part of the infrared spectrum where the gas absorbs light reflected off the Earth. The satellite will monitor emissions from the oil and gas sector, which accounts for about 40% of all human-caused methane emissions, and it will be able to revisit the same sites daily in most instances. MethaneSAT will also fill a gap in existing remote methane monitoring capabilities, offering high-precision emissions mapping over a broad 200km by 200km field of view. This satellite will further complement existing methane-monitoring satellites that focus on either larger scales or detecting point sources. “MethaneSAT will make a critical difference in helping us better understand and remedy global greenhouse gas emissions,” said Dr. Alberto Conti, vice president and general manager of Civil Space for BAE Systems Space & Mission Systems. “MethaneSAT will advance our ability to identify and track emissions from their source, empowering stakeholders and the public with actionable data to enable reductions. We are thankful to our customers at the Environmental Defense Fund for developing this crucial mission, and we look forward to seeing all the change it will bring.” BAE Systems worked alongside scientists from EDF and MethaneSAT, LLC, to design and build the primary instrument. The company also led spacecraft integration, environmental testing, and will provide commissioning services. Once commissioning is complete, EDF will launch a cloud-based platform in partnership with Google to distribute MethaneSAT data publicly and free of charge, ensuring the data will be easily accessible for all. “MethaneSAT is a unique instrument with demanding specifications,” said Peter Vedder, senior director for mission systems at MethaneSAT. “It’s designed to see methane emissions that other satellites can’t, with unprecedented precision. BAE Systems helped us push the envelope to deliver a powerful new tool for protecting the climate.” MethaneSAT launched on a SpaceX Falcon 9 rocket.

The National Research and Innovation Agency (BRIN) uses remote sensing technology to calculate the danger of faults as an effort to mitigate the threat of earthquakes for the public. A researcher from BRIN's Geological Disaster Research Center, Nurani Rahma Hanifa, stated that her side was collaborating with the British Geological Survey (BGS) in this technology research that has been published in a joint scientific research. "We hope this effort can reduce the fatality caused by earthquakes with the scientific data we have through remote sensing," she noted in a statement from her office on Thursday. Meanwhile, BGS' geologist in multi-hazard and remote sensing, Ekbal Hussain, stated that the technology, currently owned by BGS, can measure ground movement patterns and details of earthquake fragments after an earthquake occurred from space using remote sensing. "Through detailed modeling, this technology can help us to understand that earthquakes have energy released, but there is also energy stored in the earth," Hussain stated. Regarding the Lembang Fault, he explained that remote sensing can estimate the danger of the Lembang Fault by monitoring energy stored in the fault and how much of it will be released when an earthquake occurs. He expressed hope that the use of remote sensing technology would save several lives, considering that the earthquakes' vulnerability is dynamic. Head of BRIN's Geological Disaster Research Center, Adrin Tohari, stated that the Cianjur earthquake that struck in 2022 was interesting to be studied deeper. He noted that until now, the fault location is not yet discovered, but the impact of damage caused by the fault is quite extensive. In 2023, BRIN had conducted a study to determine the main earthquake location. However, the agency had not found the main earthquake's vein due to thick volcanic deposits. "Activity is difficult to detect," Tohari stated. He is optimistic that the implementation of remote sensing technology would improve the scientists' ability of understanding the potential and risks of the Lembang Fault in the Greater Bandung area.

Due to their ability to collect tree phenotypic trait data in large quantities, unmanned aerial vehicles, or UAVs, have completely changed the forestry industry. Even with the progress made in object detection and remote sensing, precise identification and extraction of spectral data for individual trees continue to be major obstacles, frequently necessitating tedious manual annotation. For better tree detection, current research focuses on developing segmentation algorithms and convolutional neural networks; however, the requirement for precise manual labeling prevents these technologies from being widely adopted. This emphasizes how critical it is to create a higher-throughput, more effective technique for automatically extracting spectral information for individual trees. The open-source tool ExtSpecR, which offers an intuitive interactive web application, is presented in this paper as a means of achieving single tree spectral extraction in forestry using UAV-based imagery. It optimizes the process of spectral and spatial feature extraction by speeding up the identification and annotation of individual trees. Users can calculate vegetation indices and view outputs as false-color and VI-specific images by uploading TIFF-formatted spectral images through the ExtSpecR user interface. Users upload point cloud data and multispectral images to the interactive dashboard, which then defines the region of interest (ROI) for tree identification and segmentation, enabling the system's core phenotyping capabilities. This procedure produces 3D visualizations of the segmented trees by utilizing the lidR package's "locate_trees" function. Evaluation of ExtSpecR's performance in comparison to ground truth in tree plantations with different canopy densities shows that it can detect individual trees with accuracy ranging from 91% to 97%. By comparing ExtSpecR's functionality to that of other tools, its distinct approach of fusing point cloud data and multispectral imagery with already-existing algorithms for optimal user experience and thorough tree analysis is highlighted. For better outcomes, recommendations include segmenting point cloud data and defining specific target areas, even though it faces difficulties with large input data sizes and complex environments with overlapping canopies. Further improvements, according to the paper, ought to focus on raising cloud quality and assessing effectiveness using hyperspectral imagery and LiDAR point clouds. page: GitHub - Yanjie-Li/ExtSpecR: Tree detection, segementation and spectral extraction

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quick maintenance, upgrade to latest script version 🙂

its been awhile since I update the forum, so here you go, sorry for the down time, but I need to update to the recent version to make sure the forum stay secure and the functions keep running, if you have any bugs please let me know

all done, please be more active, post news and question, help us grow

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done,

all done, please be more active and to all, active is not only login and silently lurking around, active is post some stuff or reply topic

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finish moving website to new server, please report any problem here, thank you

I will schedule for moving to new server in couple days, there will be down time and some performance issues, sorry for the inconvenience

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upgrade complete, some additional function added, for example the achievement and rank now revamped, enjoy