Carbon Monitoring in Polygonal Ponds

Carbon Monitoring in Polygonal Ponds

This blog post was co-authored by Dr. Julia Boike and her team and Zhila Rashidi (Eosense) Hot Spots in a cold land The Lena River Delta in northern Yakutia, northeast Siberia, Russia, is one of the largest catchment areas (2,430,000 km2) in the Arctic. Polygonal structures, which are common components of arctic Siberian wetlands, are […]

Hot Spots in a Cold Land

Hot Spots in a Cold Land

This blog post was co-authored by Dr. Julia Boike and her team (AWI) and Zhila Rashidi (Eosense) Polygonal ponds in Siberian permafrost and their effect on CO2 emissions The Lena River Delta in northern Yakutia, northeast Siberia, Russia, is one of the largest catchment areas (2,430,000 km2) in the Arctic. The bed of Lena Delta […]

Soil flux monitoring in Svalbard, Norway

Soil flux monitoring in Svalbard, Norway

Soil flux monitoring in Svalbard, Norway Here at Eosense, we are a little envious of all of the interesting places our eosGPs have travelled to recently. Enter, Christina Minions. Christina is an Environmental Science undergraduate student at St. Francis Xavier University and is currently a technician in the Flux Lab. As part of a collaborative […]

Combining Multiple Measurement Techniques

Combining Multiple Measurement Techniques

Combining Multiple Techniques: Benefits of Unified Measurements Researchers are no strangers to using multiple measurement techniques to cover the many scales of spatial and temporal variation experienced in the field. On the Eosense blog, we’ve surveyed a number of publications by scientists who need multiple measurement techniques to answer their core research questions, ranging from […]

Case Study: Surveying aqueous CO2 in the field

Case Study: Surveying aqueous CO<sub>2</sub> in the field

Measuring CO2 in the Cow Bay River Watershed, Nova Scotia. Carbon dioxide (CO2) is an important, well-known greenhouse gas that has been studied extensively. As methodologies and sampling technologies improve, researchers are able to develop a fuller understanding of carbon dioxide dynamics and their response to climate change, allowing for more robust climate model predictions. […]

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