Developing a soil inversion model framework for regional permafrost monitoring
Currently, the community lacks capabilities to assess and monitor landscape scale permafrost active layer dynamics over large extents. To address this need, we developed a concept of a remote sensing based Soil Inversion Model for regional Permafrost (SIM-P) monitoring. The current SIM-P framework i...
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ftnasajpl:oai:trs.jpl.nasa.gov:2014/50401 2023-05-15T13:03:15+02:00 Developing a soil inversion model framework for regional permafrost monitoring Yi, Yonghong Chen, Richard H. Nicolsky, Dmitry Moghaddam, Mahta Kimball, John S. Romanovsky, Vladimir E. Miller, Charles E. 2020-11-02T16:19:01Z application/pdf http://hdl.handle.net/2014/50401 en_US eng Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019 IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium,Yokohama, Japan, July 28 - August 2, 2019 19-0417 http://hdl.handle.net/2014/50401 Preprint 2020 ftnasajpl 2021-12-23T13:14:42Z Currently, the community lacks capabilities to assess and monitor landscape scale permafrost active layer dynamics over large extents. To address this need, we developed a concept of a remote sensing based Soil Inversion Model for regional Permafrost (SIM-P) monitoring. The current SIM-P framework includes a satellite-based soil process model and a soil dielectric model. We are also working on incorporating a radar scattering model for Arctic tundra into the SIM-P framework. A unified soil parameterization scheme was developed to harmonize key soil thermal, hydraulic and dielectric parameters in the soil process and radar models that can be used in the joint soil-radar inversion framework. The soil parameter retrievals of the SIM-P framework include soil organic content (SOC) and active layer thickness (ALT). Initial tests of SIM-P using in-situ soil permittivity observations showed reasonable accuracy in predicting site-level SOC and soil temperature profiles at an Alaska tundra site and ALT in Arctic Alaska. SIM-P will be further tested using airborne P- and L-band radar data collected during NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) to evaluate the sensitivity of longwave radar to active layer properties. NASA/JPL Report Active layer thickness Arctic permafrost Tundra Alaska JPL Technical Report Server Arctic |
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JPL Technical Report Server |
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ftnasajpl |
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English |
description |
Currently, the community lacks capabilities to assess and monitor landscape scale permafrost active layer dynamics over large extents. To address this need, we developed a concept of a remote sensing based Soil Inversion Model for regional Permafrost (SIM-P) monitoring. The current SIM-P framework includes a satellite-based soil process model and a soil dielectric model. We are also working on incorporating a radar scattering model for Arctic tundra into the SIM-P framework. A unified soil parameterization scheme was developed to harmonize key soil thermal, hydraulic and dielectric parameters in the soil process and radar models that can be used in the joint soil-radar inversion framework. The soil parameter retrievals of the SIM-P framework include soil organic content (SOC) and active layer thickness (ALT). Initial tests of SIM-P using in-situ soil permittivity observations showed reasonable accuracy in predicting site-level SOC and soil temperature profiles at an Alaska tundra site and ALT in Arctic Alaska. SIM-P will be further tested using airborne P- and L-band radar data collected during NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) to evaluate the sensitivity of longwave radar to active layer properties. NASA/JPL |
format |
Report |
author |
Yi, Yonghong Chen, Richard H. Nicolsky, Dmitry Moghaddam, Mahta Kimball, John S. Romanovsky, Vladimir E. Miller, Charles E. |
spellingShingle |
Yi, Yonghong Chen, Richard H. Nicolsky, Dmitry Moghaddam, Mahta Kimball, John S. Romanovsky, Vladimir E. Miller, Charles E. Developing a soil inversion model framework for regional permafrost monitoring |
author_facet |
Yi, Yonghong Chen, Richard H. Nicolsky, Dmitry Moghaddam, Mahta Kimball, John S. Romanovsky, Vladimir E. Miller, Charles E. |
author_sort |
Yi, Yonghong |
title |
Developing a soil inversion model framework for regional permafrost monitoring |
title_short |
Developing a soil inversion model framework for regional permafrost monitoring |
title_full |
Developing a soil inversion model framework for regional permafrost monitoring |
title_fullStr |
Developing a soil inversion model framework for regional permafrost monitoring |
title_full_unstemmed |
Developing a soil inversion model framework for regional permafrost monitoring |
title_sort |
developing a soil inversion model framework for regional permafrost monitoring |
publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019 |
publishDate |
2020 |
url |
http://hdl.handle.net/2014/50401 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Active layer thickness Arctic permafrost Tundra Alaska |
genre_facet |
Active layer thickness Arctic permafrost Tundra Alaska |
op_relation |
IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium,Yokohama, Japan, July 28 - August 2, 2019 19-0417 http://hdl.handle.net/2014/50401 |
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1766332186311524352 |