Orbital Recon: EMIT Collects Data On Terrestrial Plant Communities
Editor’s note: when we begin to survey new worlds up close with reconnaissance spacecraft – from orbit – we will need an array of sensors capable of gleaning as much information as possible – hyperspectral imaging that covers the widest range possible. The better we get in observing our home world, the better prepared we will be to take on the task of examining other worlds – especially those that are potentially habitable.
Data collected by NASA’s Earth Surface Mineral Dust Source Investigation (EMIT) on April 23, 2024, indicates the location of a variety of planet communites across a swath of the mid-Atlantic United States. Overlain on a Google base map, each color represents a different type of natural biome or agricultural land. Hyperspectral data such as this is being analyzed in a range of NASA-funded research projects looking at the distribution and traits of plant communities, including agricultural crops.
EMIT, installed on the International Space Station in 2022, was originally tasked with mapping minerals over Earth’s desert regions to help determine the cooling and heating effects that dust can have on regional and global climate. Since early 2024 the instrument has been on an extended mission in which its data is being used in research on a diverse range of topics including agricultural practices, snow hydrology, wildflower blooming, phytoplankton and carbon dynamics in inland waters, ecosystem biodiversity, and functional traits of forests.
Imaging spectrometers like EMIT detect the light reflected from Earth and then separate visible and infrared light into hundreds of wavelength bands. Scientists use patterns of reflection and absorption at different wavelengths to determine the composition of whatever the instrument is observing.
EMIT is laying the groundwork for NASA’s future Surface Biology and Geology-Visible Shortwave Infrared satellite mission. SBG-VSWIR will cover Earth’s land and coasts more frequently than EMIT, with finer spatial resolution.
Astrobiology
