Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ‐PROSAIL

Poulter, Benjamin; Currey, Bryce; Calle, Luz Marina; Shiklomanov, Alexey; Amaral, Cibele Hummel do; Brookshire, E. N. Jack; Campbell, Petya K. E.; Chlus, Adam; Cawse‐Nicholson, Kerry; Huemmrich, Fred; Miller, Charles E.; Miner, Kimberley; Pierrat, Zoe; Raiho, Ann; Schimel, David; Serbin, Shawn P.; Smith, William K.; Stavros, E. Natasha; Stutz, J.; Townsend, Phil; Thompson, David R.; Zhang, Zhen

doi:10.1029/2022jg006935

Cited by 8 publications

(6 citation statements)

References 86 publications

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“…(Herold et al, 2011). The SBG architecture study had three objectives: (a) Identify and characterize a diverse set of high value SBG observing architectures; (b) Assess the performance and cost effectiveness of architectures against SBG research and applications objectives; (c) Perform sufficient in-depth design of one or more candidate architectures to enable near-term science return (Poulter et al, 2023;Stavros et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…In 2018, NASA initiated an architecture study for the Surface Biology and Geology (SBG) Designated Observable, identified in the 2018 National Academies' Decadal Survey entitled, https://www.nap.edu/catalog/24938/thriving-on-our-changing-planet-a-decadal-strategy-for-earth (Herold et al., 2011). The SBG architecture study had three objectives: (a) Identify and characterize a diverse set of high value SBG observing architectures; (b) Assess the performance and cost effectiveness of architectures against SBG research and applications objectives; (c) Perform sufficient in‐depth design of one or more candidate architectures to enable near‐term science return (Poulter et al., 2023; Stavros et al., 2023).…”

Section: Methodsmentioning

confidence: 99%

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Maximizing Societal Benefit Across Multiple Hyperspectral Earth Observation Missions: A User Needs Approach

Schiavon,

Taramelli,

Tornato

et al. 2023

JGR Biogeosciences

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Imaging spectroscopy is a powerful tool used to support diverse Earth science and applications objectives, ranging from understanding and mitigating widespread impacts of climate change to management of water at farm‐scale. Community studies, such as those deployed by NASA's Surface Biology and Geology and ESA's Copernicus Hyperspectral Imaging Mission for the Environment, have offered new and tangible insights into user needs that are then incorporated into overall mission planning and design. These technologies and tools will be key to develop and consolidate downstream services for users and resource management, given the current pressures on the environment posed by climate change and population growth. This process has highlighted the degree to which planned mission capabilities are responsive to community needs. In this study, we analyze user requirements belonging to the Italian Copernicus User Forum and to the user pool of NASA's Surface Biology and Geology community for the synergic use of hyperspectral imaging technology, providing a reference for the development of earth observation services and the consolidation of existing ones. In addition, potential cross‐mission coordination is analyzed to highlight key benefits—(a) addressing shared community needs around products requiring more frequent temporal revisit and (b) shared resources and community expertise around algorithm development. This paper discusses the critical role of early engagement with users to establish a community of practice ready to work with high spatial resolution imaging spectroscopy data sets. The main outcome is a guide for the synergetic use of hyperspectral mission and data together with the identification of the main gaps between user needs and satellite capabilities influencing the development of key national and trans‐national downstream services.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Maximizing Societal Benefit Across Multiple Hyperspectral Earth Observation Missions: A User Needs Approach

Schiavon,

Taramelli,

Tornato

et al. 2023

JGR Biogeosciences

Self Cite

View full text Add to dashboard Cite

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“…Hyperspectral data can also be used to map different vegetation properties, such as canopy water content, leaf nitrogen and phosphorus compositions (Knyazikhin et al., 2013), and a range of traits related to photosynthesis, respiration, and decomposition of plant material (Butler et al., 2017; Cawse‐Nicholson et al., 2021). However, current ESMs usually cannot calculate radiative transfer at a high spectral resolution (∼10 nm) (Poulter et al., 2023), which limits their ability to utilize the additional information provided by hyperspectral measurements for model calibration (Braghiere et al., 2021a).…”

Section: Introductionmentioning

confidence: 99%

“…Hyperspectral data can also be used to map different vegetation properties, such as canopy water content, leaf nitrogen and phosphorus compositions (Knyazikhin et al, 2013), and a range of traits related to photosynthesis, respiration, and decomposition of plant material (Butler et al, 2017;Cawse-Nicholson et al, 2021). However, current ESMs usually cannot calculate radiative transfer at a high spectral resolution (∼10 nm) (Poulter et al, 2023), which limits their ability to utilize the additional information provided by hyperspectral measurements for model calibration (Braghiere et al, 2021a).Recent developments have moved away from the broadband approach, allowing for direct inversion of ecosystem properties from high spectral resolution remotely sensed data (Dutta et al, 2019) and reducing uncertainty in surface albedo (Majasalmi & Bright, 2019). However, these advances require explicit information of…”

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confidence: 99%

The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections

et al. 2023

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Earth system models (ESMs) typically simplify the representation of land surface spectral albedo to two values, which correspond to the photosynthetically active radiation (PAR, 400–700 nm) and the near infrared (NIR, 700–2,500 nm) spectral bands. However, the availability of hyperspectral observations now allows for a more direct retrieval of ecological parameters and reduction of uncertainty in surface reflectance. To investigate sensitivity and quantify biases of incorporating hyperspectral albedo information into ESMs, we examine how shortwave soil albedo affects surface radiative forcing and simulations of the carbon and water cycles. Results reveal that the use of two broadband values to represent soil albedo can introduce systematic radiative‐forcing differences compared to a hyperspectral representation. Specifically, we estimate soil albedo biases of ±0.2 over desert areas, which can result in spectrally integrated radiative forcing divergences of up to 30 W m−2, primarily due to discrepancies in the blue (404–504 nm) and far‐red (702–747 nm) regions. Furthermore, coupled land‐atmosphere simulations indicate a significant difference in net solar flux at the top of the atmosphere (>3.3 W m−2), which can impact global energy fluxes, rainfall, temperature, and photosynthesis. Finally, simulations show that considering the hyperspectrally resolved soil reflectance leads to increased maximum daily temperatures under current and future CO2 concentrations.

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“…Although the task of synthetic data generation can be accomplished with process‐based vegetation and radiative transfer models (Chernetskiy et al., 2018; Poulter et al., 2023), the computational costs associated with such global model simulations at landscape resolutions are very expensive. In this study, therefore, we seek a physics‐based but computationally efficient approach to address the task.…”

Section: Introductionmentioning

confidence: 99%

Development of the Ames Global Hyperspectral Synthetic Data Set: Surface Bidirectional Reflectance Distribution Function

et al. 2023

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This study introduces the Ames Global Hyperspectral Synthetic Data set (AGHSD), in particular the surface bidirectional reflectance distribution function (BRDF) product, to support the NASA Surface Biology and Geology (SBG) mission development. The data set is generated based on the corresponding multispectral BRDF products from NASA's MODIS satellite sensor. Based on theories of radiative transfer in vegetation canopies, we derive a simple but robust relationship that indicates that the hyperspectral surface BRDF can be accurately approximated as a weighted sum of the soil surface reflectance, the leaf single albedo, and the canopy scattering coefficient, where the weights or coefficients are spectrally invariant and thus readily estimated from the multispectral MODIS products. We validate the algorithm with simulations by a Monte Carlo Ray Tracing model and find the results highly consistent with the theoretic derivation. Using reflectance spectra of soil and vegetation derived from existing spectral libraries, we apply the algorithm to generate the AGHSD BRDF product at 1 km and 8‐day resolutions for the year of 2019. The data set is biogeochemically and biogeophysically coherent and consistent, and serves the goal to support the SBG community in developing sciences and applications for the future global imaging spectroscopy mission.

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Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ‐PROSAIL

Cited by 8 publications

References 86 publications

Maximizing Societal Benefit Across Multiple Hyperspectral Earth Observation Missions: A User Needs Approach

Maximizing Societal Benefit Across Multiple Hyperspectral Earth Observation Missions: A User Needs Approach

The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections

Development of the Ames Global Hyperspectral Synthetic Data Set: Surface Bidirectional Reflectance Distribution Function

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