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Mar20
2018

Remote Sensing with Reproducible Workflows in Python: Data Institute Application deadline

March 20, 2018

Applications now open for NEON’s 2018 Data Institute: Remote Sensing with Reproducible Workflows in Python. This Data Institute provides a unique opportunity for participants to gain hands-on experience working with openly available NEON data using well-documented, reproducible methods using Python. Participants will also gain important applied knowledge about using heterogeneous remote sensing data sources to address spatio-temporal ecological research questions

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Jul09
2018

Data Institute 2018: Remote Sensing with Reproducible Workflows in Python

July 09 - 14, 2018

During this course, participants will work with hyperspectral, lidar and RGB camera data collected by NEON’s Airborne Observation Platform (AOP). Students will have direct access to NEON’s science staff responsible for the collection, algorithm development and production of NEON AOP data. Workshop lessons will focus on how to efficiently utilize NEON AOP data for scientific applications and how common remote sensing processing methods will impact data quality. Additionally, participants will tour the NEON calibration facilities to gain a deeper understanding of the importance of calibration to reduce data uncertainty during collection and processing.

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Aug05
2018

Ecological Society of America 2018 Annual Meeting

August 05 - 10, 2018

Extreme events, such as heat waves, droughts, floods, fires and storms, are exacerbated by human activities and challenge populations, communities and ecosystems, as well as our human health and living conditions. The ability of ecosystems to respond to these challenges depends on the integrity of resilience mechanisms that have been severely undermined by land-use practices that increase effects of extreme conditions.  Past civilizations, such as the Maya and Mesopotamians, apparently exacerbated the droughts (that caused their demise) through deforestation and agricultural practices similar to our own. Clearly, the sustainability of ecosystem services and human well-being depends on ecosystem resilience to extreme events.

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