The Earth and Space Science Open Archive (ESSOAr) is a community server established to accelerate the open discovery and dissemination of earth, environmental, and space science research by archiving and sharing early research outputs, including preprints, presentations from major scientific meetings, and important documents of scholarly societies.
The amount and quality of land, water and atmospheric information is critical to plan, monitor, predict and mitigate the impacts of climate change, urbanization and population growth. To get reasonably accurate regional information, Ethiopia launched its first Earth Observing satellite on the 20 th of December 2019 in collaboration with the government of China. The 65-kg Ethiopian Remote Sensing Satellite (ETRSS-1) carries one earth observing multispectral camera to measure many aspects of land, water and biosphere. It was placed on sun-synchronous orbit at an altitude of 628.61km and collects images at a Ground Sampling Distance (GSD) of 13.75-m within a revisit period of 4 days. Currently, all the instruments are operating as intended and the early-stage images captured by ETRSS-1 are within sensible and acceptable range. This indicates that it can serve as a supplementary and alternative data source to operational and research services.
Over the past 60+ years, an enormous amount of exploration geophysics survey data has been collected around the globe, the majority of which is high-quality 2D and 3D seismic data acquired by the petroleum energy industry. Much of this ‘legacy’ data still has significant commercial value today and in the future, for hydrocarbon exploration, gas storage (methane, helium, hydrogen…), groundwater, minerals, CO2 sequestration, geothermal, and other purposes. However, there is likely a subset of this exploration data that is of little further commercial value, but may be of immense value to academic, government and industry researchers, for example. This may include very long 2D seismic lines recorded in frontier exploration areas which turned out to be non-prospective; for example along convergent margin subduction zones or major continental tectonic fault zones, which are absent of major sedimentary basins. Shared access to this subset of legacy data would provide an extremely useful opportunity and resource for academic researchers and others, much as shared earthquake data via the IRIS network has revolutionized our understanding of earthquakes, faults and tectonics.
Observing the environment in the vast inaccessible regions of Earth through remote sensing platforms provides the tools to measure ecological dynamics. The Arctic tundra biome, one of the largest inaccessible terrestrial biomes on Earth, requires remote sensing across multiple spatial and temporal scales, from towers to satellites, particularly those equipped for imaging spectroscopy (IS). We describe a rationale for using IS derived from advances in our understanding of Arctic tundra vegetation communities and their interaction with the environment.