Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season
We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from air...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Solberg, Svein [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
interferometric synthetic aperture radar (InSAR) synthetic aperture radar (SAR) TanDEM-X interferometric synthetic aperture radar heights |
|---|
| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 53(2015), 3, Seite 1607-1614 |
|---|---|
| Übergeordnetes Werk: |
volume:53 ; year:2015 ; number:3 ; pages:1607-1614 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2014.2346473 |
|---|
| Katalog-ID: |
OLC1965770908 |
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| 245 | 1 | 0 | |a Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season |
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| 520 | |a We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. | ||
| 650 | 4 | |a digital elevation models | |
| 650 | 4 | |a temporal changes | |
| 650 | 4 | |a acquisition properties | |
| 650 | 4 | |a Stability analysis | |
| 650 | 4 | |a data acquisition | |
| 650 | 4 | |a single pass | |
| 650 | 4 | |a spruce forest | |
| 650 | 4 | |a Phase noise | |
| 650 | 4 | |a temporal stability | |
| 650 | 4 | |a digital terrain model | |
| 650 | 4 | |a forest biomass | |
| 650 | 4 | |a terrain mapping | |
| 650 | 4 | |a remote sensing by radar | |
| 650 | 4 | |a Biological system modeling | |
| 650 | 4 | |a airborne laser scanning | |
| 650 | 4 | |a aboveground biomass | |
| 650 | 4 | |a interferometric synthetic aperture radar (InSAR) | |
| 650 | 4 | |a Backscatter | |
| 650 | 4 | |a season conditions | |
| 650 | 4 | |a synthetic aperture radar (SAR) | |
| 650 | 4 | |a southeastern Norway | |
| 650 | 4 | |a Vegetation | |
| 650 | 4 | |a radar interferometry | |
| 650 | 4 | |a Biomass | |
| 650 | 4 | |a InSAR heights | |
| 650 | 4 | |a TanDEM-X interferometric synthetic aperture radar heights | |
| 650 | 4 | |a vegetation mapping | |
| 650 | 4 | |a X-band | |
| 650 | 4 | |a coniferous boreal forest monitoring | |
| 650 | 4 | |a forest monitoring | |
| 650 | 4 | |a synthetic aperture radar | |
| 650 | 4 | |a Acquisitions & mergers | |
| 650 | 4 | |a Biological systems | |
| 650 | 4 | |a Digital elevation models | |
| 650 | 4 | |a Synthetic aperture radar | |
| 650 | 4 | |a Models | |
| 650 | 4 | |a Usage | |
| 700 | 1 | |a Weydahl, Dan Johan |4 oth | |
| 700 | 1 | |a Astrup, Rasmus |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t IEEE transactions on geoscience and remote sensing |d New York, NY : IEEE, 1964 |g 53(2015), 3, Seite 1607-1614 |w (DE-627)129601667 |w (DE-600)241439-9 |w (DE-576)015095282 |x 0196-2892 |7 nnns |
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10.1109/TGRS.2014.2346473 doi PQ20160617 (DE-627)OLC1965770908 (DE-599)GBVOLC1965770908 (PRQ)c3151-a7110c9bd2c522ea9ff30810a8c31fb599136a0af1fc62b99ff4e707996c9ba60 (KEY)0048677920150000053000301607temporalstabilityofxbandsinglepassinsarheightsinas DE-627 ger DE-627 rakwb eng 620 550 DNB Solberg, Svein verfasserin aut Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage Weydahl, Dan Johan oth Astrup, Rasmus oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 53(2015), 3, Seite 1607-1614 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:53 year:2015 number:3 pages:1607-1614 http://dx.doi.org/10.1109/TGRS.2014.2346473 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6882812 http://search.proquest.com/docview/1564327642 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_2027 AR 53 2015 3 1607-1614 |
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10.1109/TGRS.2014.2346473 doi PQ20160617 (DE-627)OLC1965770908 (DE-599)GBVOLC1965770908 (PRQ)c3151-a7110c9bd2c522ea9ff30810a8c31fb599136a0af1fc62b99ff4e707996c9ba60 (KEY)0048677920150000053000301607temporalstabilityofxbandsinglepassinsarheightsinas DE-627 ger DE-627 rakwb eng 620 550 DNB Solberg, Svein verfasserin aut Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage Weydahl, Dan Johan oth Astrup, Rasmus oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 53(2015), 3, Seite 1607-1614 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:53 year:2015 number:3 pages:1607-1614 http://dx.doi.org/10.1109/TGRS.2014.2346473 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6882812 http://search.proquest.com/docview/1564327642 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_2027 AR 53 2015 3 1607-1614 |
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10.1109/TGRS.2014.2346473 doi PQ20160617 (DE-627)OLC1965770908 (DE-599)GBVOLC1965770908 (PRQ)c3151-a7110c9bd2c522ea9ff30810a8c31fb599136a0af1fc62b99ff4e707996c9ba60 (KEY)0048677920150000053000301607temporalstabilityofxbandsinglepassinsarheightsinas DE-627 ger DE-627 rakwb eng 620 550 DNB Solberg, Svein verfasserin aut Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage Weydahl, Dan Johan oth Astrup, Rasmus oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 53(2015), 3, Seite 1607-1614 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:53 year:2015 number:3 pages:1607-1614 http://dx.doi.org/10.1109/TGRS.2014.2346473 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6882812 http://search.proquest.com/docview/1564327642 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_2027 AR 53 2015 3 1607-1614 |
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10.1109/TGRS.2014.2346473 doi PQ20160617 (DE-627)OLC1965770908 (DE-599)GBVOLC1965770908 (PRQ)c3151-a7110c9bd2c522ea9ff30810a8c31fb599136a0af1fc62b99ff4e707996c9ba60 (KEY)0048677920150000053000301607temporalstabilityofxbandsinglepassinsarheightsinas DE-627 ger DE-627 rakwb eng 620 550 DNB Solberg, Svein verfasserin aut Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage Weydahl, Dan Johan oth Astrup, Rasmus oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 53(2015), 3, Seite 1607-1614 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:53 year:2015 number:3 pages:1607-1614 http://dx.doi.org/10.1109/TGRS.2014.2346473 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6882812 http://search.proquest.com/docview/1564327642 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_2027 AR 53 2015 3 1607-1614 |
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10.1109/TGRS.2014.2346473 doi PQ20160617 (DE-627)OLC1965770908 (DE-599)GBVOLC1965770908 (PRQ)c3151-a7110c9bd2c522ea9ff30810a8c31fb599136a0af1fc62b99ff4e707996c9ba60 (KEY)0048677920150000053000301607temporalstabilityofxbandsinglepassinsarheightsinas DE-627 ger DE-627 rakwb eng 620 550 DNB Solberg, Svein verfasserin aut Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage Weydahl, Dan Johan oth Astrup, Rasmus oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 53(2015), 3, Seite 1607-1614 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:53 year:2015 number:3 pages:1607-1614 http://dx.doi.org/10.1109/TGRS.2014.2346473 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6882812 http://search.proquest.com/docview/1564327642 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_2027 AR 53 2015 3 1607-1614 |
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Solberg, Svein ddc 620 misc digital elevation models misc temporal changes misc acquisition properties misc Stability analysis misc data acquisition misc single pass misc spruce forest misc Phase noise misc temporal stability misc digital terrain model misc forest biomass misc terrain mapping misc remote sensing by radar misc Biological system modeling misc airborne laser scanning misc aboveground biomass misc interferometric synthetic aperture radar (InSAR) misc Backscatter misc season conditions misc synthetic aperture radar (SAR) misc southeastern Norway misc Vegetation misc radar interferometry misc Biomass misc InSAR heights misc TanDEM-X interferometric synthetic aperture radar heights misc vegetation mapping misc X-band misc coniferous boreal forest monitoring misc forest monitoring misc synthetic aperture radar misc Acquisitions & mergers misc Biological systems misc Digital elevation models misc Synthetic aperture radar misc Models misc Usage Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season |
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620 550 DNB Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season digital elevation models temporal changes acquisition properties Stability analysis data acquisition single pass spruce forest Phase noise temporal stability digital terrain model forest biomass terrain mapping remote sensing by radar Biological system modeling airborne laser scanning aboveground biomass interferometric synthetic aperture radar (InSAR) Backscatter season conditions synthetic aperture radar (SAR) southeastern Norway Vegetation radar interferometry Biomass InSAR heights TanDEM-X interferometric synthetic aperture radar heights vegetation mapping X-band coniferous boreal forest monitoring forest monitoring synthetic aperture radar Acquisitions & mergers Biological systems Digital elevation models Synthetic aperture radar Models Usage |
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Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season |
| abstract |
We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. |
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We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. |
| abstract_unstemmed |
We investigated the stability of TanDEM-X interferometric synthetic aperture radar (InSAR) heights across eight repeated acquisitions. With InSAR height we mean the height above ground of the scattering phase center. We obtained InSAR heights by subtracting a digital terrain model generated from airborne laser scanning. The acquisitions varied in polarization, normal baseline, and season. The study area was a spruce forest in southeastern Norway. We established 179 field plots within 26 selected forest stands and obtained aboveground biomass (AGB) from field inventory. The InSAR heights were generally stable across the acquisitions as was the relationship between AGB and InSAR height, although systematic and random variations were noted. Two acquisitions had close-to-identical technical properties and weather conditions, and they produced close-to-identical InSAR heights. InSAR heights were fairly stable across a range in temperature and precipitation through spring, summer, and autumn, across a range in baseline values and for both HH and VV polarizations. However, a winter acquisition at temperatures of -7°C had much deeper penetration into the canopy and generated considerably lower InSAR heights and, hence, a very different relationship with biomass. Higher random errors were noted in a cross-pol data set due to lower backscatter and when the normal baseline was very small or very large. A height of ambiguity around 20-50 m appeared to be optimal. Interferometric X-band SAR can be used for monitoring coniferous boreal forests as long as the season and technical properties of the acquisition are kept within certain ranges. |
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Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season |
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