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- Permafrost - NASA Earthdata
Permafrost is a layer of ground that remains frozen all year round It often sits beneath a layer of soil that thaws seasonally Due to rising temperatures, some areas of permafrost are thawing for the first time in years, which releases gases and organic carbon that have profound effects on the surrounding ecosystem Thawing permafrost can also lead to landslides and erosion that pose danger
- Global warming is melting the permafrost layer, creating big holes in . . .
Have you read? Russia’s permafrost is melting and it could have a devastating global effect Arctic warming is causing a 60-fold increase in permafrost landslides 4 climate tipping points the planet is facing The rapidly thawing ice layer is creating great sinkholes and hollows across the region as the ground begins to collapse in on itself
- Melting Russian permafrost could speed up global warming and have a . . .
“Permafrost warming has the potential to amplify global climate change,” scientist Dr Boris K Biskaborn of the Alfred Wegener Institute, a polar and marine research organization, writes in an article published in the journal Nature
- What does permafrost thawing mean for carbon emissions? | World . . .
Thawing permafrost could release it's stored carbon into the atmosphere Climate-change mitigation has the potential to slow or halt this thaw - and subsequent emissions Improved models are vital to understand the potential contribution of permafrost thaw to the global climate
- Landslides Impacts, Permafrost Detection, and Geothermal Mineral . . .
Explore how NASA data supports monitoring of post-seismic landslides in China, detection of permafrost in the Andes, and mineral mapping in East Africa using MODIS and ASTER data
- Riding the Permafrost Express - NASA Earthdata
Researchers use innovative techniques to protect the newly constructed Qinghai-Xizang railroad across the Tibetan Plateau from permafrost
- GeoCryoAI: Ensemble Learning and the Permafrost Carbon . . . - Earthdata
GeoCryoAI is a hybridized process-constrained ensemble learning framework consisting of stacked convolutionally layered long short-term memory-encoded recurrent neural networks The purpose of GeoCryoAI is to quantify permafrost thaw dynamics and greenhouse gas emissions in Alaska
- A Spread of Green - NASA Earthdata
Publication from NASA ESDIS describing research uses of data from EOSDIS - people and heat spread north into Arctic permafrost
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