Exploring Mission Design for Imaging Spectroscopy Retrievals for Land and Aquatic Ecosystems

التفاصيل البيبلوغرافية
العنوان: Exploring Mission Design for Imaging Spectroscopy Retrievals for Land and Aquatic Ecosystems
المؤلفون: A. M. Raiho, K. Cawse-Nicholson, A. Chlus, J. Dozier, M. Gierach, K. Miner, F. Schneider, D. Schimel, S. Serbin, A. N. Shiklomanov, D. R. Thompson, P. A. Townsend, S. Zareh, M. Skiles, B. Poulter
المصدر: Journal of Geophysical Research: Biogeosciences. 128(4)
بيانات النشر: United States: NASA Center for Aerospace Information (CASI), 2023.
سنة النشر: 2023
مصطلحات موضوعية: Geosciences (General)
الوصف: The retrieval algorithms used for optical remote sensing satellite data to estimate Earth's geophysical properties have specific requirements for spatial resolution, temporal revisit, spectral range and resolution, and instrument signal-to-noise ratio (SNR) performance to meet biogeoscience objectives. Studies to estimate surface properties from hyperspectral data use a range of algorithms sensitive to various sources of spectroscopic uncertainty, which are in turn influenced by mission architecture choices. Retrieval algorithms vary across scientific fields and may be more or less sensitive to mission architecture choices that affect spectral, spatial, or temporal resolutions and spectrometer SNR. We used representative remote sensing algorithms across terrestrial and aquatic study domains to inform aspects of mission design that are most important for impacting accuracy in each scientific area. We simulated the propagation of uncertainties in the retrieval process including the effects of different instrument configuration choices. We found that retrieval accuracy and information content degrade consistently at >10 nm spectral resolution, >30 m spatial resolution, and >8-day revisit. In these studies, the noise reduction associated with lower spatial resolution improved accuracy vis à vis high spatial resolution measurements. The interplay between spatial resolution, temporal revisit, and SNR can be quantitatively assessed for imaging spectroscopy missions and used to identify key components of algorithm performance and mission observing criteria.
نوع الوثيقة: Report
اللغة: English
تدمد: 2169-8961
2169-8953
DOI: 10.1029/2022JG006833
URL الوصول: https://ntrs.nasa.gov/citations/20230008033
ملاحظات: NNX17AE79A

80NM0018D0004

J-090027

80NSSC21D0002

DE-SC0012704
رقم الأكسشن: edsnas.20230008033
قاعدة البيانات: NASA Technical Reports
الوصف
تدمد:21698961
21698953
DOI:10.1029/2022JG006833