RT @UNOceanDecade: Dive in with us: on 7 June 2024, #UNWorldOceansDay will explore new depths of understanding, compassion, collaboration, and commitment for our ocean.

More information 👉 https://t.co/b0hqTns2Rd https://t.co/AiiRmhruWq

UN Biodiversity

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RT @UNDP: We need bold and urgent solutions to tackle the climate crisis.

But what does positive climate action actually look like around the world?

Don't miss our new video series #ClimateActionExplained featuring @nikolajcw.

📌Premiers on 21st March. Stay tuned! https://t.co/iCUfVTWGrf

UN Biodiversity

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RT @EU_ENV: We are rooting for additional #3BillionTrees in Europe by 2030!

Join our Conference today together with 🇪🇺 @florikafink to celebrate progress, overcome barriers and identify new opportunities for thriving #EUForests

🟢 LIVE at 14.00 CET 👉 https://t.co/TD4S8axQRQ

#ForOurPlanet https://t.co/rrmq80Cnjh

EU Environment

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RT @FAO: 🌳🏡🌲🏘️🌳🏠🌲🏡🌳

More than 50% of the 🌍's population lives in urban areas.

Trees and urban forests can make our cities cooler, greener, healthier and happier places to live.

#GreenCities #ForestDay https://t.co/zfLwvLh5x5

ipbes

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RT @fbiljecki: Here are my 15 favourite research articles published in 2023 in the domains of urban analytics & geoinformatics and beyond (in no particular order). Thanks to all who have published some really innovative research, which will inspire our research agenda next year.

Earth Observation Lab

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RT @HumboldtUni: Datenbasis für einen #nachhaltigeren Umgang mit #Ressourcen geschaffen: Gemeinsam mit Forschenden der #HumboldtUni ermittelte der Geoinformatiker David Frantz @d__frantz der @TrierUni das Gewicht der Gebäude und der Infrastruktur der USA!
Mehr: https://t.co/hyK8gcTFbk

Earth Observation Lab

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RT @_Helmut_Haberl: Cool new paper quantifies & maps materials in global transport infrastructure stocks. It reveals the huge amount of resources required to support mobility of people and goods globally. Thanks to Dominik & all other co-authors. https://t.co/mRHEWJxBCl

Earth Observation Lab

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RT @Axelsson_Ch: Curious how the mass of our built environment compares to plant biomass in the USA? Check out this piece by @d__frantz et al in @NatureComms The denser the area, the less per capita burden of our built infrastructure #EnvironmentalSocialScience https://t.co/nguagkyqmW

.@d__frantz et al find most inhabited areas in the US have more mass in buildings and mobility networks than in plant biomass with cities comparably more resource efficient than rural areas @HumboldtEOLab, @BOKU_SEC See new paper and project website below https://t.co/MUN9L3S7xP - Nature Communications

Earth Observation Lab

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RT @NatureComms: .@d__frantz et al find most inhabited areas in the US have more mass in buildings and mobility networks than in plant biomass with cities comparably more resource efficient than rural areas @HumboldtEOLab, @BOKU_SEC See new paper and project website below https://t.co/MUN9L3S7xP

Earth Observation Lab

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RT @TrierUni: Wie viel wiegen alle Gebäude und die gesamte Infrastruktur der #USA? 🏙 Das hat #Geoinformatiker und Juniorprofessor an der #UniTrier, @d__frantz, untersucht. 🔎
🚧 Warum die Studie eine Datenbasis für einen #nachhaltigeren Umgang mit #Ressourcen schafft: https://t.co/AEsNDJgjHe

📢Paper alert! How heavy is the USA 🇺🇸🏋️? In a nutshell: the mass of all US buildings, roads/rails, and parking spaces is ca. 130 Gt - or ~400 tonnes per person! Built structures 🏘️are 2.6 times heavier than all plant biomass 🌳! https://t.co/GZmO6fWs4N @NatureComms #openaccess https://t.co/bFhXvpdqnC - david frantz

Earth Observation Lab

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RT @d__frantz: 📢Paper alert! How heavy is the USA 🇺🇸🏋️? In a nutshell: the mass of all US buildings, roads/rails, and parking spaces is ca. 130 Gt - or ~400 tonnes per person! Built structures 🏘️are 2.6 times heavier than all plant biomass 🌳! https://t.co/GZmO6fWs4N @NatureComms #openaccess https://t.co/bFhXvpdqnC

Earth Observation Lab

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RT @d__frantz: Our #openscience provides a new database for improving #SustainableLiving #circulareconomy #biodiversity #globalchange. Download the open dataset: https://t.co/fX5knyvYc0. Browse through the main layers: https://t.co/zwW9KRYnTT https://t.co/AsXj6Xmkap

Earth Observation Lab

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