Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates

P. P. Hirsave, R. M. Narayanan, B. T. Tracy, B. L. Gwilliam, R. L. Bolus, T. Pangburn, H. L. McKim

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The technology of using spaceborne SAR systems for soil moisture estimation has been refined over the last few years. In order to reduce the confounding effects of surface roughness on soil moisture inversion, multifrequency SAR systems have shown promise. The Shuttle Imaging Radar (SIR-C) has an onboard SAR system operating at L, C, and X bands for high resolution imaging of the earth's surface. Over the early part of October 1994, the SIR-C SAR collected radar reflectance data from two sites near Concord, New Hampshire. SIR-C data were collected on four consecutive days and concurrent ground truth measurements were also made of the actual soil moisture distribution at the test sites. The objective of the study was to evaluate the radar system's ability not only to estimate soil moisture, but also to characterize its spatial variability. The University of Nebraska has developed inversion algorithms to estimate soil moisture from SIR-C data. The spatial statistics of the in-situ measurements were used to refine the soil moisture inversion algorithm. The SIR-C derived and the in-situ soil moisture estimates compared well not only for the mean soil moisture of each pixel, but also for the spatial statistical parameters, such as correlation lengths and the gradients of soil moisture.

Original languageEnglish (US)
Pages1073-1075
Number of pages3
StatePublished - Jan 1 1996
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Other

OtherProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

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Soil moisture
synthetic aperture radar
soil moisture
Statistics
SIR
radar
statistics
comparison
in situ
Radar imaging
Radar systems
surface roughness
in situ measurement
reflectance
pixel
Radar
Surface roughness
Pixels
Earth (planet)
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Hirsave, P. P., Narayanan, R. M., Tracy, B. T., Gwilliam, B. L., Bolus, R. L., Pangburn, T., & McKim, H. L. (1996). Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates. 1073-1075. Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, .
Hirsave, P. P. ; Narayanan, R. M. ; Tracy, B. T. ; Gwilliam, B. L. ; Bolus, R. L. ; Pangburn, T. ; McKim, H. L. / Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates. Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, .3 p.
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abstract = "The technology of using spaceborne SAR systems for soil moisture estimation has been refined over the last few years. In order to reduce the confounding effects of surface roughness on soil moisture inversion, multifrequency SAR systems have shown promise. The Shuttle Imaging Radar (SIR-C) has an onboard SAR system operating at L, C, and X bands for high resolution imaging of the earth's surface. Over the early part of October 1994, the SIR-C SAR collected radar reflectance data from two sites near Concord, New Hampshire. SIR-C data were collected on four consecutive days and concurrent ground truth measurements were also made of the actual soil moisture distribution at the test sites. The objective of the study was to evaluate the radar system's ability not only to estimate soil moisture, but also to characterize its spatial variability. The University of Nebraska has developed inversion algorithms to estimate soil moisture from SIR-C data. The spatial statistics of the in-situ measurements were used to refine the soil moisture inversion algorithm. The SIR-C derived and the in-situ soil moisture estimates compared well not only for the mean soil moisture of each pixel, but also for the spatial statistical parameters, such as correlation lengths and the gradients of soil moisture.",
author = "Hirsave, {P. P.} and Narayanan, {R. M.} and Tracy, {B. T.} and Gwilliam, {B. L.} and Bolus, {R. L.} and T. Pangburn and McKim, {H. L.}",
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Hirsave, PP, Narayanan, RM, Tracy, BT, Gwilliam, BL, Bolus, RL, Pangburn, T & McKim, HL 1996, 'Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates', Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, 5/28/96 - 5/31/96 pp. 1073-1075.

Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates. / Hirsave, P. P.; Narayanan, R. M.; Tracy, B. T.; Gwilliam, B. L.; Bolus, R. L.; Pangburn, T.; McKim, H. L.

1996. 1073-1075 Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates

AU - Hirsave, P. P.

AU - Narayanan, R. M.

AU - Tracy, B. T.

AU - Gwilliam, B. L.

AU - Bolus, R. L.

AU - Pangburn, T.

AU - McKim, H. L.

PY - 1996/1/1

Y1 - 1996/1/1

N2 - The technology of using spaceborne SAR systems for soil moisture estimation has been refined over the last few years. In order to reduce the confounding effects of surface roughness on soil moisture inversion, multifrequency SAR systems have shown promise. The Shuttle Imaging Radar (SIR-C) has an onboard SAR system operating at L, C, and X bands for high resolution imaging of the earth's surface. Over the early part of October 1994, the SIR-C SAR collected radar reflectance data from two sites near Concord, New Hampshire. SIR-C data were collected on four consecutive days and concurrent ground truth measurements were also made of the actual soil moisture distribution at the test sites. The objective of the study was to evaluate the radar system's ability not only to estimate soil moisture, but also to characterize its spatial variability. The University of Nebraska has developed inversion algorithms to estimate soil moisture from SIR-C data. The spatial statistics of the in-situ measurements were used to refine the soil moisture inversion algorithm. The SIR-C derived and the in-situ soil moisture estimates compared well not only for the mean soil moisture of each pixel, but also for the spatial statistical parameters, such as correlation lengths and the gradients of soil moisture.

AB - The technology of using spaceborne SAR systems for soil moisture estimation has been refined over the last few years. In order to reduce the confounding effects of surface roughness on soil moisture inversion, multifrequency SAR systems have shown promise. The Shuttle Imaging Radar (SIR-C) has an onboard SAR system operating at L, C, and X bands for high resolution imaging of the earth's surface. Over the early part of October 1994, the SIR-C SAR collected radar reflectance data from two sites near Concord, New Hampshire. SIR-C data were collected on four consecutive days and concurrent ground truth measurements were also made of the actual soil moisture distribution at the test sites. The objective of the study was to evaluate the radar system's ability not only to estimate soil moisture, but also to characterize its spatial variability. The University of Nebraska has developed inversion algorithms to estimate soil moisture from SIR-C data. The spatial statistics of the in-situ measurements were used to refine the soil moisture inversion algorithm. The SIR-C derived and the in-situ soil moisture estimates compared well not only for the mean soil moisture of each pixel, but also for the spatial statistical parameters, such as correlation lengths and the gradients of soil moisture.

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Hirsave PP, Narayanan RM, Tracy BT, Gwilliam BL, Bolus RL, Pangburn T et al. Comparison of spatial statistics of SAR-derived and in-situ soil moisture estimates. 1996. Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, .