Mapping minerals with space-based imaging spectroscopy
Description:
The Earth Surface Mineral Dust Source Investigation (EMIT) instrument aboard the International Space Station (ISS) measures visible to short-wave infrared (VSWIR) wavelengths and can be used to map Earth’s surface mineralogy in detail. Here we explore the science behind the EMIT mineralogy products and apply them in a repeatable scientific workflow. We will introduce imaging spectroscopy concepts and sensor specific considerations for exploring variation in surface mineralogy. Participants will learn the basics of VSWIR imaging spectroscopy, how minerals are identified and band depths are calculated, and how band depths are translated into mineral abundances. Participants will also learn how to find, access, and apply EMIT mineralogical data using open source resources.
Learning Objectives:
Topics Covered:
nuance regarding the spectral library
methods used for mineral identification
how to orthorectify the data
how to interpret band depth
how to aggregate the targets identified by the classification into the EMIT 10 minerals related to surface dust
how to translate band depth into spectral abundance.
The EMIT Level 2B Estimated Mineral Identification and Band Depth and Uncertainty (EMITL2BMIN) Version 1 data product provides estimated mineral identification and band depths in a spatially raw, non-orthocorrected format. Mineral identification is performed on two spectral groups, which correspond to different regions of the spectra but often co-occur on the landscape. These estimates are generated using the Tetracorder system(code) and are based on EMITL2ARFL reflectance values. The EMIT_L2B_MINUNCERT file provides band depth uncertainty estimates calculated using surface Reflectance Uncertainty values from the EMITL2ARFL data product. The band depth uncertainties are presented as standard deviations. The fit score for each mineral identification is also provided as the coefficient of determination (r2) of the match between the continuum normalized library reference and the continuum normalized observed spectrum. Associated metadata indicates the name and reference information for each identified mineral, and additional information about aggregating minerals into different categories is available in the emit-sds-l2b repository and will be available as subsequent data products.
Mapping minerals with space-based imaging spectroscopy
Description: The Earth Surface Mineral Dust Source Investigation (EMIT) instrument aboard the International Space Station (ISS) measures visible to short-wave infrared (VSWIR) wavelengths and can be used to map Earth’s surface mineralogy in detail. Here we explore the science behind the EMIT mineralogy products and apply them in a repeatable scientific workflow. We will introduce imaging spectroscopy concepts and sensor specific considerations for exploring variation in surface mineralogy. Participants will learn the basics of VSWIR imaging spectroscopy, how minerals are identified and band depths are calculated, and how band depths are translated into mineral abundances. Participants will also learn how to find, access, and apply EMIT mineralogical data using open source resources.
Learning Objectives: Topics Covered:
The EMIT Level 2B Estimated Mineral Identification and Band Depth and Uncertainty (EMITL2BMIN) Version 1 data product provides estimated mineral identification and band depths in a spatially raw, non-orthocorrected format. Mineral identification is performed on two spectral groups, which correspond to different regions of the spectra but often co-occur on the landscape. These estimates are generated using the Tetracorder system(code) and are based on EMITL2ARFL reflectance values. The EMIT_L2B_MINUNCERT file provides band depth uncertainty estimates calculated using surface Reflectance Uncertainty values from the EMITL2ARFL data product. The band depth uncertainties are presented as standard deviations. The fit score for each mineral identification is also provided as the coefficient of determination (r2) of the match between the continuum normalized library reference and the continuum normalized observed spectrum. Associated metadata indicates the name and reference information for each identified mineral, and additional information about aggregating minerals into different categories is available in the emit-sds-l2b repository and will be available as subsequent data products.
Things to Think about and Do
Plan and produce Raw Content
Pre-event Logistics
Day of
Final Steps