The Aeolus mission is coming to a close on 30 April 2023 with a series of end life activities after achieving many significant accomplishments. Launched in 2018, the mission’s main goal was to measure the Earth’s wind patterns and improve our understanding of how they affect the planet’s climate. That ESA’s wind mission had outlived its predicted lifetime of three years by over 18 months. The best course of action to wind down Aeolus was to carefully re-enter the satellite back to Eart

The WMO State of the Global Climate report 2022 focuses on key climate indicators – greenhouse gases, temperatures, sea level rise, ocean heat and acidification, sea ice and glaciers. It also highlights the impacts of climate change and extreme weather. Drought, floods and heatwaves affect large parts of the world and the costs are rising Global mean temperatures for the past 8 years have been the highest on record Sea level and ocean heat are at record levels – and this tr

Several digital elevation model (DEM) sources are used in the processing of Landsat Collection 2 Level-1 products. These sources are based on specific geographic regions and contribute to improved vertical accuracy in Collection 2 when compared to data processed in the past. Together, these sources are all known as the Landsat Collection 2 DEM.  These DEM sources have been modified for use in Collection 2 processing; void filling techniques were used where persistent gaps were found in the

NV5 Global, Inc. (the “Company” or “NV5”) (Nasdaq: NVEE), a provider of technology, conformity assessment, and consulting solutions, announced today the closing of its acquisition of L3Harris Technologies, Inc.’s Visual Information Solutions commercial geospatial technology and software business (“VIS”).   First announced in December, the acquisition has received regulatory approvals and enhances NV5’s position as North America’s premiere provider of geospatial data solutions, accompanying the a

This study introduces a new parallel algorithm called MEFFA for calculating flow accumulation using the OpenMP API. The new algorithm has improved the performance of the fastest benchmark parallel algorithm by 30% using up to 17% less memory. page: GitHub - HuidaeCho/meffa: Memory-Efficient Fast Flow Accumulation