Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

Pang Wei Liu; Jasmeet Judge; Subit Chakrabarti; Roger Deroo; Susan Steele-Dunne; Brian Hornbuckle; Andreas Colliander; Sidharth Misra; Scott Tripp; Barron Latham; Ross Williamson; Isaac Ramos; Simon Yueh; Anthony England

doi:10.1109/IGARSS.2017.8127865

Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

Pang Wei Liu, Jasmeet Judge, Subit Chakrabarti, Roger Deroo, Susan Steele-Dunne, Brian Hornbuckle, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Simon Yueh, Anthony England

Water Resources

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (T_B) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on T_B for corn and soybean using ground-based T_B observations. The modeled T_B will be upscaled based upon the USDA crop layer map to compare with the T_B observed in the coarse scales.

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3953-3956
Number of pages	4
Volume	2017-July
ISBN (Electronic)	9781509049516
DOIs	https://doi.org/10.1109/IGARSS.2017.8127865
Publication status	Published - 1 Dec 2017
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017: IEEE Geoscience and Remote Sensing - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 Conference number: 37 http://www.igarss2017.org/

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated title	IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17
Internet address	http://www.igarss2017.org/

Keywords

Passive Microwave Remote Sensing
Scale Variability
Soil Moisture
Vegetation Opacity

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10.1109/IGARSS.2017.8127865

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Liu, P. W., Judge, J., Chakrabarti, S., Deroo, R., Steele-Dunne, S., Hornbuckle, B., Colliander, A., Misra, S., Tripp, S., Latham, B., Williamson, R., Ramos, I., Yueh, S., & England, A. (2017). Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (Vol. 2017-July, pp. 3953-3956). Article 8127865 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2017.8127865

Liu, Pang Wei ; Judge, Jasmeet ; Chakrabarti, Subit et al. / Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 3953-3956

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title = "Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex",

abstract = "In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (TB) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on TB for corn and soybean using ground-based TB observations. The modeled TB will be upscaled based upon the USDA crop layer map to compare with the TB observed in the coarse scales.",

keywords = "Passive Microwave Remote Sensing, Scale Variability, Soil Moisture, Vegetation Opacity",

author = "Liu, {Pang Wei} and Jasmeet Judge and Subit Chakrabarti and Roger Deroo and Susan Steele-Dunne and Brian Hornbuckle and Andreas Colliander and Sidharth Misra and Scott Tripp and Barron Latham and Ross Williamson and Isaac Ramos and Simon Yueh and Anthony England",

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doi = "10.1109/IGARSS.2017.8127865",

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booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 : IEEE Geoscience and Remote Sensing , IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

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Liu, PW, Judge, J, Chakrabarti, S, Deroo, R, Steele-Dunne, S, Hornbuckle, B, Colliander, A, Misra, S, Tripp, S, Latham, B, Williamson, R, Ramos, I, Yueh, S & England, A 2017, Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex. in 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. vol. 2017-July, 8127865, Institute of Electrical and Electronics Engineers (IEEE), pp. 3953-3956, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8127865

Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex. / Liu, Pang Wei; Judge, Jasmeet; Chakrabarti, Subit et al.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 3953-3956 8127865.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

AU - Liu, Pang Wei

AU - Judge, Jasmeet

AU - Chakrabarti, Subit

AU - Deroo, Roger

AU - Steele-Dunne, Susan

AU - Hornbuckle, Brian

AU - Colliander, Andreas

AU - Misra, Sidharth

AU - Tripp, Scott

AU - Latham, Barron

AU - Williamson, Ross

AU - Ramos, Isaac

AU - Yueh, Simon

AU - England, Anthony

N1 - Conference code: 37

PY - 2017/12/1

Y1 - 2017/12/1

N2 - In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (TB) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on TB for corn and soybean using ground-based TB observations. The modeled TB will be upscaled based upon the USDA crop layer map to compare with the TB observed in the coarse scales.

AB - In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (TB) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on TB for corn and soybean using ground-based TB observations. The modeled TB will be upscaled based upon the USDA crop layer map to compare with the TB observed in the coarse scales.

KW - Passive Microwave Remote Sensing

KW - Scale Variability

KW - Soil Moisture

KW - Vegetation Opacity

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U2 - 10.1109/IGARSS.2017.8127865

DO - 10.1109/IGARSS.2017.8127865

M3 - Conference contribution

AN - SCOPUS:85041805610

VL - 2017-July

SP - 3953

EP - 3956

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Liu PW, Judge J, Chakrabarti S, Deroo R, Steele-Dunne S, Hornbuckle B et al. Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 3953-3956. 8127865 doi: 10.1109/IGARSS.2017.8127865

Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

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