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LANCE Learning Resources
Webinars, tutorials, data recipes and more to help you work with LANCE.
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Learn how to use Python to convert near real-time (NRT) data from NASA's Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument provided by the Land, Atmosphere Near real-time Capability for Earth Observing Systems (LANCE).
Data Recipe
Join us to learn about NASA's Land Atmosphere Near real-time Capability for EOS (LANCE) system and available data. During this webinar we will describe the difference between NRT data and standard quality data and show you how to discover and access LANCE NRT data.
Webinar
This code converts the soil moisture ('SoilMoistureNPD') parameter in the Advanced Microwave Scanning Radiometer 2 (AMSR2) Near Real Time (NRT) Land product in HDF-EOS5 format to GeoTIFF.
Data Recipe
This code converts total precipitable water in the Land, Atmosphere Near real-time Capability for Earth observation (LANCE) AMSR2 Near Real-Time Ocean product in HDF-EOS5 format to GeoTIFF.
Data Recipe
This code converts total column water vapor ('TotalColWaterVapor') in the AMSR2 Near Real Time (NRT) Rain product in HDF-EOS5 format to GeoTIFF.
Data Recipe
This code converts selected parameters in AMSR2 NRT Sea Ice products in HDF-EOS5 format to GeoTIFF.
Data Recipe
This code converts the snow water equivalent (‘SWE’) parameter in the AMSR2 NRT daily snow product in HDF-EOS5 format to GeoTIFF.
Data Recipe
Near real-time products enable the management of ongoing events; standard data products are heavily processed and intended for scientific research.
Data Basics
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