Estimating Dust on Snow - Application of a Coupled Atmosphere-Surface Model to Spaceborne Emit Imaging Spectrometer Data-Reference-Cited by-同舟云学术

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Estimating Dust on Snow - Application of a Coupled Atmosphere-Surface Model to Spaceborne Emit Imaging Spectrometer Data

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Bohn N.¹,Bair E. H.²,Brodrick P. G.¹,Carmon N.¹,Green R. O.¹,Painter T. H.³,Thompson D. R.¹

Affiliation:

1. California Institute of Technology,Jet Propulsion Laboratory,Pasadena,CA,USA

2. Earth Research Institute, University of California,Santa Barbara,CA,USA

3. Joint Institute for Regional Earth System Science and Engineering, University of California,Los Angeles,CA,USA

Funder

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283084.pdf?arnumber=10283084

Reference11 articles.

1. Impact of Snow Grain Shape and Black Carbon–Snow Internal Mixing on Snow Optical Properties: Parameterizations for Climate Models

2. Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data;painter;Remote Sensing of Environment,2003

3. Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau

4. Unified Topographic and Atmospheric Correction for Remote Imaging Spectroscopy

5. Optimal estimation for imaging spectrometer atmospheric correction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using k-Means Spectral Clustering;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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