The program is part of NASA’s Cyclone Global Navigation Satellite System (CYGNSS) mission, a constellation of eight small satellites, launched in 2016, that use signals from Global Positioning System (GPS) satellites that reflect off Earth’s surface to collect science data. The CYGNSS satellites orbit above the tropics and their primary mission is to use GPS signals to measure wind speed over the ocean by examining GPS signal reflections off choppy versus calm water. This allows researchers to gain new insight into wind speed over the ocean and will allow them to better understand hurricanes and tropical cyclones.
University of Saskatchewan (USask) researchers have used a novel combination of techniques to compare the effects of two families of pesticides used in agriculture, and found that at low dosages the newer pesticide is less toxic than a currently used neonicotinoid one. USask biology professor Jack Gray's research on locusts, published in the Proceedings of the National Academy of Sciences (PNAS), may have implications for understanding the link between these pesticides and mortality in other species such as the "colony collapse disorder" responsible for the deaths of millions of bees worldwide. "There is controversy over neonicotinoid pesticides," said Gray. "Their development suggested they were safer than other pesticides, but it is more complicated because their effects at non-lethal doses on insects and other species needed to be investigated further." From his previous studies with locusts, Gray designed a virtual flight simulator where he tested how non-lethal doses of pesticides can affect the insects' ability to visually detect moving objects such as trees and predators. He and his team found that the newer sulfoxamine pesticide, sulfoxaflor (SFX), does not impair the insects' motion detection ability, while the current neonicotinoid imidacloprid (IMD) does.
BioSTEAM, a new open-source simulation software package in Python developed by researchers at the University of Illinois at Urbana-Champaign, gives scientists, engineers, biotechnology companies, and funding agencies a fast, flexible tool to analyze the economics of producing different biofuels and bioproducts -- in a matter of seconds. BioSTEAM -- Biorefinery Simulation and Techno-Economic Analysis Modules -- allows researchers to quickly compare and prioritize strategies for converting biomass to fuels and products. It also generates data that can be used to evaluate the environmental impact of biorefineries, including greenhouse gas emissions, paving the way for a sustainable bioeconomy.
This report highlights common challenges and priorities, and proposes a set of initial recommendations on how existing data infrastructures can evolve and collaborate to provide services that support the implementation of the FAIR data principles, in particular in the context of building the European Open Science Cloud (EOSC). The report is an output of three workshops designed to explore, discuss and formulate such recommendations and is aimed at stakeholders in the scholarly world and particularly the EOSC Governance.
The accurate identification of tree species is critical for the management of forest ecosystems. Mapping of tree species is an important task as it can assist a wide range of environmental applications, such as biodiversity monitoring, ecosystem services assessment, invasive species detection, and sustainable forest management. However, individual tree species classification in natural mixed forests, as it is typical in central Europe, is still a challenging task. An in-depth understanding of the relationship between species-specific features and remote sensing observations for tree species classification needs further investigation. The research in the thesis firstly evaluated the performance of geometric and radiometric metrics from airborne LiDAR data under leaf-on and leaf-off conditions for individual tree species discrimination. Then, the thesis examined whether multi-temporal digital CIR orthophotos could be used to further increase the accuracy of airborne LiDAR-based individual tree species mapping.