Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX

Alejandro Monsivais-Huertero; Pang Wei Liu; Jasmeet Judge; Subit Chakrabarti

doi:10.1109/IGARSS.2017.8128102

Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX

Alejandro Monsivais-Huertero, Pang Wei Liu, Jasmeet Judge, Subit Chakrabarti

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Ticomán

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.

Idioma original	Inglés
Título de la publicación alojada	2017 IEEE International Geoscience and Remote Sensing Symposium
Subtítulo de la publicación alojada	International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	4901-4903
Número de páginas	3
ISBN (versión digital)	9781509049516
DOI	https://doi.org/10.1109/IGARSS.2017.8128102
Estado	Publicada - 1 dic. 2017
Evento	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, Estados Unidos Duración: 23 jul. 2017 → 28 jul. 2017

Serie de la publicación

Nombre	International Geoscience and Remote Sensing Symposium (IGARSS)
Volumen	2017-July

Conferencia

Conferencia	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
País/Territorio	Estados Unidos
Ciudad	Fort Worth
Período	23/07/17 → 28/07/17

ODS de las Naciones Unidas

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10.1109/IGARSS.2017.8128102

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Monsivais-Huertero, A., Liu, P. W., Judge, J., & Chakrabarti, S. (2017). Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX. En 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (pp. 4901-4903). Artículo 8128102 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2017.8128102

Monsivais-Huertero, Alejandro ; Liu, Pang Wei ; Judge, Jasmeet et al. / Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 4901-4903 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX",

abstract = "Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.",

keywords = "Backscatter modeling, Incoherent model, SMAPVEX-16 field campaign, Vegetated terrain",

author = "Alejandro Monsivais-Huertero and Liu, {Pang Wei} and Jasmeet Judge and Subit Chakrabarti",

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Monsivais-Huertero, A, Liu, PW, Judge, J & Chakrabarti, S 2017, Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX. En 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings., 8128102, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2017-July, Institute of Electrical and Electronics Engineers Inc., pp. 4901-4903, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, Estados Unidos, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8128102

Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX. / Monsivais-Huertero, Alejandro; Liu, Pang Wei; Judge, Jasmeet et al.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4901-4903 8128102 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX

AU - Monsivais-Huertero, Alejandro

AU - Liu, Pang Wei

AU - Judge, Jasmeet

AU - Chakrabarti, Subit

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.

AB - Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.

KW - Backscatter modeling

KW - Incoherent model

KW - SMAPVEX-16 field campaign

KW - Vegetated terrain

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PB - Institute of Electrical and Electronics Engineers Inc.

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Monsivais-Huertero A, Liu PW, Judge J, Chakrabarti S. Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX. En 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 4901-4903. 8128102. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2017.8128102

Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX

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