TERN Australia’s Post

🌍 Just completed an insightful EPA's webinar on geospatial model development and its applications in cumulative impacts research presented by Dr. Kyle Buck! Explored fundamental concepts, data insights, and real-world case studies highlighting the role in decision-making and goal tracking, all grounded in environmental justice and resilience frameworks. 📊 📩 #GeospatialModeling #EnvironmentalJustice #ResilienceResearch #Webinar #EPA

Practical Ecological data analysis with R [part-1] by @hafezahmad100 in @GrowthSupply https://buff.ly/3zrJzY4 #rstats

Random sampling is usually designed to ensure that each of the population of sampling units has an equal chance of being selected. Standard statistical methods can then be used to analyze the data. #EnvironmentalManagement

🔍 Data Discovery | Australia's Environment Data Explorer The data explorer aims to provide direct access to data summaries as maps, accounts and charts. Data can be examined by point location, region and landcover type, compared to preceding years, or downloaded for further analysis. The explorer currently offers data on weather, fire, water, soils, vegetation and soils, as well as as the Environmental Condition Score as an overall summary indicator. Access the data explorer here: https://lnkd.in/guq7QXhQ #datadiscovery #data #ausenv2023

Data shouldn't be a luxury—it should be a right. Our project on #Cardano ensures that everyone can benefit from Earth observation data, driving positive change in agriculture, finance, and beyond. Here's our F12 proposal: https://lnkd.in/dEBtugCx

#ResearchWithImpact: We address questions and deliver solutions to real-world problems for Virginians, the nation, and those around the world. 🌎 🔗 Learn more: https://lnkd.in/gT6Hj8bf Research spotlight:🔦Environmental and Natural Resource Economics > Some projects include: ➡ Use of remote sensing, artificial intelligence, and machine learning to target natural disaster relief financing and to facilitate environmental regulation ➡ The impact of environmental targets and regulations on agriculture ➡ The impact of agricultural production on the environment and the design of agro-environmental policies ➡ Non-market valuation using innovative revealed and stated preference tools ➡ Design of environmental trading and payment-for-service programs, design, and evaluation of energy policies ➡ Meta-analysis and benefit transfer for water quality and wetland conservation

The Sharing and Enabling Environment Data (SEED) portal just got even better! Alongside the Natural Hazards Science Hub launched this just this week, you can also join the Natural Capital Accounting, Air Quality, Water and Imagery Hubs. https://lnkd.in/gxhqi-nQ SEED 🌱- making all of your data dreams come true. #opendata

New Special Issue: the use of data & models in transboundary water governance Newer methods of data collection and processing, including remote sensing and artificial intelligence, are already influencing decisions related to transboundary waters and the way knowledge about such waters is developed. Using these new tools in politically sensitive situations requires conscious engagement. A new Water International Special Issue collects practice-based research to promote learning. Read more: https://lnkd.in/eiNMypUv

Although this is a small collection, finding well-documented spatial data is always refreshing. This collection could be helpful for those looking for spatial datasets related to conservation issues within the US and abroad. https://lnkd.in/gmhhN3eE

💡 How can supply chain actors harness existing data to establish that commodities are deforestation-free? The Forest Data Partnership (FDaP), in collaboration with the AIM4Forests Programme, has developed an innovative open-source solution called Whisp that helps supply chain stakeholders better comply with the European Union’s deforestation regulation, which has made it mandatory for companies to identify the plot of land where a product comes from and prove that no forests have been cleared on that site since 2020. As no single source of geospatial data can tell the whole story around any given plot of land, multiple datasets are needed so that more reliable insights can be drawn from a convergence of evidence. The UMD Global Forest Cover and Change data, also available on GFW, is one of the several public geospatial data sets that are included in Whisp to support deforestation risk assessment. 🌳 Find out more about Whisp and watch the demo by Rémi d'Annunzio from FAO here ➡️ https://lnkd.in/epKycFpG #eudr #fdap #deforestation #AIM4Forests