Application of retracked satellite altimetry for inland hydrologic studies

Manman Zhang; Hyongki Lee; C. K. Shum; Doug Alsdorf; Frank Schwartz; Kuo Hsin Tseng; Yuchan Yi; Chung Yen Kuo; Hong Zeng Tseng; Alexander Braun; Stéphane Calmant; Filizola Naziano; Frederique Seyler

doi:10.1080/01431161.2010.483495

Application of retracked satellite altimetry for inland hydrologic studies

Manman Zhang, Hyongki Lee, C. K. Shum, Doug Alsdorf, Frank Schwartz, Kuo Hsin Tseng, Yuchan Yi, Chung Yen Kuo, Hong Zeng Tseng, Alexander Braun, Stéphane Calmant, Filizola Naziano, Frederique Seyler

Department of Geomatics

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

We explored the application of satellite radar altimetry for the monitoring of small inland bodies of water and hydrologic studies using a water-detection algorithm, optimally retracked TOPEX/POSEIDON data at 10-Hz sampling, and investigated the use of radar backscatter to improve land cover classification. The procedure was demonstrated over Manitoba and south-western (SW) Ontario, and the Amazon River Basin study regions. Compared with an L-band synthetic aperture radar data generated water-land cover mask, the water-detection algorithm detected more water points over the Amazon basin. High correlation of 0.98 between the retracked 10-Hz altimetry and the gauge measurements in Manitoba confirmed that the retracked TOPEX data are more accurate than the non-retracked data, and with higher along-track spatial resolution by virtue of its higher sampling at 10 Hz.

Original language	English
Pages (from-to)	3913-3929
Number of pages	17
Journal	International Journal of Remote Sensing
Volume	31
Issue number	14
DOIs	https://doi.org/10.1080/01431161.2010.483495
Publication status	Published - 2010 Apr

All Science Journal Classification (ASJC) codes

Earth and Planetary Sciences(all)

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10.1080/01431161.2010.483495

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title = "Application of retracked satellite altimetry for inland hydrologic studies",

abstract = "We explored the application of satellite radar altimetry for the monitoring of small inland bodies of water and hydrologic studies using a water-detection algorithm, optimally retracked TOPEX/POSEIDON data at 10-Hz sampling, and investigated the use of radar backscatter to improve land cover classification. The procedure was demonstrated over Manitoba and south-western (SW) Ontario, and the Amazon River Basin study regions. Compared with an L-band synthetic aperture radar data generated water-land cover mask, the water-detection algorithm detected more water points over the Amazon basin. High correlation of 0.98 between the retracked 10-Hz altimetry and the gauge measurements in Manitoba confirmed that the retracked TOPEX data are more accurate than the non-retracked data, and with higher along-track spatial resolution by virtue of its higher sampling at 10 Hz.",

author = "Manman Zhang and Hyongki Lee and Shum, {C. K.} and Doug Alsdorf and Frank Schwartz and Tseng, {Kuo Hsin} and Yuchan Yi and Kuo, {Chung Yen} and Tseng, {Hong Zeng} and Alexander Braun and St{\'e}phane Calmant and Filizola Naziano and Frederique Seyler",

note = "Funding Information: This research is funded by grants from NSF{\textquoteright}s Hydrology program, NGA{\textquoteright}s NURI program, and the Ohio State University Climate, Water and Carbon Program. We acknowledge NASA and CNES for providing the TOPEX/POSEIDON (GDR and SDR) data products; LEGOS, USDA and NASA/GSFC for providing high-level radar altimetry data products; ANA Brazil and Environment Canada for providing the river stage gauge data used for the study. We thank Mike Durand, the guest editor, and an anonymous reviewer for the constructive comments which improved the manuscript.",

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AU - Zhang, Manman

AU - Lee, Hyongki

AU - Shum, C. K.

AU - Alsdorf, Doug

AU - Schwartz, Frank

AU - Tseng, Kuo Hsin

AU - Yi, Yuchan

AU - Kuo, Chung Yen

AU - Tseng, Hong Zeng

AU - Braun, Alexander

AU - Calmant, Stéphane

AU - Naziano, Filizola

AU - Seyler, Frederique

N1 - Funding Information: This research is funded by grants from NSF’s Hydrology program, NGA’s NURI program, and the Ohio State University Climate, Water and Carbon Program. We acknowledge NASA and CNES for providing the TOPEX/POSEIDON (GDR and SDR) data products; LEGOS, USDA and NASA/GSFC for providing high-level radar altimetry data products; ANA Brazil and Environment Canada for providing the river stage gauge data used for the study. We thank Mike Durand, the guest editor, and an anonymous reviewer for the constructive comments which improved the manuscript.

PY - 2010/4

Y1 - 2010/4

N2 - We explored the application of satellite radar altimetry for the monitoring of small inland bodies of water and hydrologic studies using a water-detection algorithm, optimally retracked TOPEX/POSEIDON data at 10-Hz sampling, and investigated the use of radar backscatter to improve land cover classification. The procedure was demonstrated over Manitoba and south-western (SW) Ontario, and the Amazon River Basin study regions. Compared with an L-band synthetic aperture radar data generated water-land cover mask, the water-detection algorithm detected more water points over the Amazon basin. High correlation of 0.98 between the retracked 10-Hz altimetry and the gauge measurements in Manitoba confirmed that the retracked TOPEX data are more accurate than the non-retracked data, and with higher along-track spatial resolution by virtue of its higher sampling at 10 Hz.

AB - We explored the application of satellite radar altimetry for the monitoring of small inland bodies of water and hydrologic studies using a water-detection algorithm, optimally retracked TOPEX/POSEIDON data at 10-Hz sampling, and investigated the use of radar backscatter to improve land cover classification. The procedure was demonstrated over Manitoba and south-western (SW) Ontario, and the Amazon River Basin study regions. Compared with an L-band synthetic aperture radar data generated water-land cover mask, the water-detection algorithm detected more water points over the Amazon basin. High correlation of 0.98 between the retracked 10-Hz altimetry and the gauge measurements in Manitoba confirmed that the retracked TOPEX data are more accurate than the non-retracked data, and with higher along-track spatial resolution by virtue of its higher sampling at 10 Hz.

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Application of retracked satellite altimetry for inland hydrologic studies

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