Abstract
We present an improved wetland interferometric synthetic aperture radar (InSAR) technique that uses multitrack SAR data and ground-based stage (water level) data to calculate a time series of high spatial resolution water level maps throughout wide wetland areas. The technique was applied to a wetland area in the northern Everglades, Florida, using a four-year-long Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Rada (PALSAR) data set acquired during 2007-2011. Although the temporal resolution of ALOS PALSAR interferograms is low (multiples of the satellite's 46-day revisit cycle), the multitrack algorithm combines results from the four tracks and significantly improves the observation frequency up to seven days in the best case. A quality control analysis indicates that the average root-mean-square error of the differences between the InSAR- and stage-based water levels is 4.2 cm. The end products of absolute water level time series with improved temporal and high spatial resolutions can be used as excellent constraints for high spatial resolution wetland flow models and other water resource applications.
| Original language | English (US) |
|---|---|
| Article number | 6684321 |
| Pages (from-to) | 1355-1359 |
| Number of pages | 5 |
| Journal | IEEE Geoscience and Remote Sensing Letters |
| Volume | 11 |
| Issue number | 8 |
| DOIs | |
| State | Published - 2014 |
Fingerprint
Keywords
- Absolute water level
- everglades
- interferometric synthetic aperture radar (InSAR) time series
- multitrack
- small temporal baseline subset (STBAS)
- temporal resolution
- Water Conservation Area 1 (WCA1)
- wetlands
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Geotechnical Engineering and Engineering Geology
Cite this
Multitemporal multitrack monitoring of wetland water levels in the florida everglades using alos palsar data with interferometric processing. / Hong, S. H.; Wdowinski, Shimon.
In: IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 8, 6684321, 2014, p. 1355-1359.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multitemporal multitrack monitoring of wetland water levels in the florida everglades using alos palsar data with interferometric processing
AU - Hong, S. H.
AU - Wdowinski, Shimon
PY - 2014
Y1 - 2014
N2 - We present an improved wetland interferometric synthetic aperture radar (InSAR) technique that uses multitrack SAR data and ground-based stage (water level) data to calculate a time series of high spatial resolution water level maps throughout wide wetland areas. The technique was applied to a wetland area in the northern Everglades, Florida, using a four-year-long Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Rada (PALSAR) data set acquired during 2007-2011. Although the temporal resolution of ALOS PALSAR interferograms is low (multiples of the satellite's 46-day revisit cycle), the multitrack algorithm combines results from the four tracks and significantly improves the observation frequency up to seven days in the best case. A quality control analysis indicates that the average root-mean-square error of the differences between the InSAR- and stage-based water levels is 4.2 cm. The end products of absolute water level time series with improved temporal and high spatial resolutions can be used as excellent constraints for high spatial resolution wetland flow models and other water resource applications.
AB - We present an improved wetland interferometric synthetic aperture radar (InSAR) technique that uses multitrack SAR data and ground-based stage (water level) data to calculate a time series of high spatial resolution water level maps throughout wide wetland areas. The technique was applied to a wetland area in the northern Everglades, Florida, using a four-year-long Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Rada (PALSAR) data set acquired during 2007-2011. Although the temporal resolution of ALOS PALSAR interferograms is low (multiples of the satellite's 46-day revisit cycle), the multitrack algorithm combines results from the four tracks and significantly improves the observation frequency up to seven days in the best case. A quality control analysis indicates that the average root-mean-square error of the differences between the InSAR- and stage-based water levels is 4.2 cm. The end products of absolute water level time series with improved temporal and high spatial resolutions can be used as excellent constraints for high spatial resolution wetland flow models and other water resource applications.
KW - Absolute water level
KW - everglades
KW - interferometric synthetic aperture radar (InSAR) time series
KW - multitrack
KW - small temporal baseline subset (STBAS)
KW - temporal resolution
KW - Water Conservation Area 1 (WCA1)
KW - wetlands
UR - http://www.scopus.com/inward/record.url?scp=84897020810&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897020810&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2013.2293492
DO - 10.1109/LGRS.2013.2293492
M3 - Article
VL - 11
SP - 1355
EP - 1359
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
SN - 1545-598X
IS - 8
M1 - 6684321
ER -