ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA
<p>The South Kanto gas field contains natural gas dissolved in water. In the past, large-scale land subsidence has occurred due to the extraction of this natural gas. Therefore, continuous and accurate monitoring for subsidence using satellite remote sensing is essential to prevent any extreme...
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doaj-0a30f20ea1694668971a3f1eb9ec6c002020-11-24T21:22:57ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-08-01XLII-3-W828729110.5194/isprs-archives-XLII-3-W8-287-2019ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATAT. Nonaka0T. Asaka1K. Iwashita2F. Ogushi3College of Industrial Technology, Nihon University, 1-2-1 Izumi-cho Narashino-shi Chiba, JapanCollege of Industrial Technology, Nihon University, 1-2-1 Izumi-cho Narashino-shi Chiba, JapanCollege of Industrial Technology, Nihon University, 1-2-1 Izumi-cho Narashino-shi Chiba, JapanHarris Geospatial Co., 1-20-3 Hongo, Bunkyo, Tokyo, Japan<p>The South Kanto gas field contains natural gas dissolved in water. In the past, large-scale land subsidence has occurred due to the extraction of this natural gas. Therefore, continuous and accurate monitoring for subsidence using satellite remote sensing is essential to prevent any extreme subsidence events, particularly in urban areas, and ensure the safety of residences. In this study, we adopted the small baseline subset (SBAS) method to understand the subsidence trend. We used Advanced Land Observing Satellite (ALOS)-2 Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) data from 2015 to 2019 for this purpose. The results show that the maximum displacement around the Kujyukuri area is more than 10 mm/year and the mean displacement rate for 2015 to 2019 is -1.4 ± 3.2 mm/year; this value is not as large as some obtained with past PALSAR observations. Comparison of our results with PALSAR observations shows that the number of distributed targets is fewer and the root mean square error of each time-series displacement value is larger. Further quantitative analysis is required to discuss the reliability of the SBAS-derived displacement rates by PALSAR-2.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/287/2019/isprs-archives-XLII-3-W8-287-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Nonaka T. Asaka K. Iwashita F. Ogushi |
spellingShingle |
T. Nonaka T. Asaka K. Iwashita F. Ogushi ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
T. Nonaka T. Asaka K. Iwashita F. Ogushi |
author_sort |
T. Nonaka |
title |
ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA |
title_short |
ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA |
title_full |
ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA |
title_fullStr |
ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA |
title_full_unstemmed |
ANALYSIS OF THE TREND OF THE DEFORMATION AROUND KANTO REGION ESTIMATED BY TIME SERIES OF PALSAR-2 DATA |
title_sort |
analysis of the trend of the deformation around kanto region estimated by time series of palsar-2 data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2019-08-01 |
description |
<p>The South Kanto gas field contains natural gas dissolved in water. In the past, large-scale land subsidence has occurred due to the extraction of this natural gas. Therefore, continuous and accurate monitoring for subsidence using satellite remote sensing is essential to prevent any extreme subsidence events, particularly in urban areas, and ensure the safety of residences. In this study, we adopted the small baseline subset (SBAS) method to understand the subsidence trend. We used Advanced Land Observing Satellite (ALOS)-2 Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) data from 2015 to 2019 for this purpose. The results show that the maximum displacement around the Kujyukuri area is more than 10 mm/year and the mean displacement rate for 2015 to 2019 is -1.4 ± 3.2 mm/year; this value is not as large as some obtained with past PALSAR observations. Comparison of our results with PALSAR observations shows that the number of distributed targets is fewer and the root mean square error of each time-series displacement value is larger. Further quantitative analysis is required to discuss the reliability of the SBAS-derived displacement rates by PALSAR-2.</p> |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/287/2019/isprs-archives-XLII-3-W8-287-2019.pdf |
work_keys_str_mv |
AT tnonaka analysisofthetrendofthedeformationaroundkantoregionestimatedbytimeseriesofpalsar2data AT tasaka analysisofthetrendofthedeformationaroundkantoregionestimatedbytimeseriesofpalsar2data AT kiwashita analysisofthetrendofthedeformationaroundkantoregionestimatedbytimeseriesofpalsar2data AT fogushi analysisofthetrendofthedeformationaroundkantoregionestimatedbytimeseriesofpalsar2data |
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