Techniques for wide-area mapping of forest biomass using radar data:Dissertation
Aspects of forest biomass mapping using SAR (Synthetic Aperture Radar) data were studied in study sites in northern Sweden, Germany, and south-eastern Finland. Terrain topography - via the area of a resolution cell - accounted for 61 percent of the total variation in a Seasat (L-band) SAR scene in a...
Main Author: | |
---|---|
Format: | Book |
Language: | English |
Published: |
VTT Technical Research Centre of Finland
2005
|
Subjects: | |
Online Access: | https://cris.vtt.fi/en/publications/b60da896-5117-483b-aecc-b929f4a152e3 https://publications.vtt.fi/pdf/publications/2005/P591.pdf |
_version_ | 1825513737687138304 |
---|---|
author | Rauste, Yrjö |
author_facet | Rauste, Yrjö |
author_sort | Rauste, Yrjö |
collection | VTT's Research Information Portal |
description | Aspects of forest biomass mapping using SAR (Synthetic Aperture Radar) data were studied in study sites in northern Sweden, Germany, and south-eastern Finland. Terrain topography - via the area of a resolution cell - accounted for 61 percent of the total variation in a Seasat (L-band) SAR scene in a hilly and mountainous study site. A methodology - based on least squares adjustment of tie point and ground control point observations in a multi-temporal SAR mosaic dataset - produced a tie point RMSE (Root Mean Square Error) of 56 m and a GCP RMSE of 240 m in the African mosaic of the GRFM (Global Rain Forest Mapping) project. The mosaic consisted of 3624 JERS SAR scenes. A calibration revision methodology - also based on least squares adjustment and points in overlap areas between scenes - removed a calibration artifact of about 1 dB. A systematic search of the highest correlation between forest stem volume and backscattering amplitude was conducted over all combinations of transmit and receive polarisations in three AIRSAR scenes in a German study site. In the P-band, a high and narrow peak around HV-polarisation was found, where the correlation coefficient was 0.75, 0.59, and 0.71 in scenes acquired in August 1989, June 1991, and July 1991, respectively. In other polarisations of P-band, the correlation coefficient was lower. In L-band, the polarisation response was more flat and correlations lower, between 0.54 and 0.70 for stands with a stem volume 100 m3/ha or less. Three summer-time JERS SAR scenes produced very similar regression models between forest stem volume and backscattering amplitude in a study site in south-eastern Finland. A model was proposed for wide area biomass mapping when biomass accuracy requirements are not high. A multi-date regression model employing three summer scenes and three winter scenes produced a multiple correlation coefficient of 0.85 and a stem volume estimation RMSE of 41.3m3/ha. JERS SAR scenes that were acquired in cold winter conditions produced very low correlations ... |
format | Book |
genre | Northern Sweden |
genre_facet | Northern Sweden |
id | ftvttcrispub:oai:cris.vtt.fi:publications/b60da896-5117-483b-aecc-b929f4a152e3 |
institution | Open Polar |
language | English |
op_collection_id | ftvttcrispub |
op_rights | info:eu-repo/semantics/openAccess |
op_source | Rauste , Y 2005 , ' Techniques for wide-area mapping of forest biomass using radar data : Dissertation ' , Doctor Degree , Aalto University , Espoo . < https://publications.vtt.fi/pdf/publications/2005/P591.pdf > |
publishDate | 2005 |
publisher | VTT Technical Research Centre of Finland |
record_format | openpolar |
spelling | ftvttcrispub:oai:cris.vtt.fi:publications/b60da896-5117-483b-aecc-b929f4a152e3 2025-03-02T15:34:56+00:00 Techniques for wide-area mapping of forest biomass using radar data:Dissertation Rauste, Yrjö 2005 https://cris.vtt.fi/en/publications/b60da896-5117-483b-aecc-b929f4a152e3 https://publications.vtt.fi/pdf/publications/2005/P591.pdf eng eng VTT Technical Research Centre of Finland info:eu-repo/semantics/openAccess Rauste , Y 2005 , ' Techniques for wide-area mapping of forest biomass using radar data : Dissertation ' , Doctor Degree , Aalto University , Espoo . < https://publications.vtt.fi/pdf/publications/2005/P591.pdf > wide-area mapping remote sensing Synthetic Aperture Radar forest biomass SAR Polarimetry mosaicking forests backscattering book 2005 ftvttcrispub 2025-02-04T10:13:35Z Aspects of forest biomass mapping using SAR (Synthetic Aperture Radar) data were studied in study sites in northern Sweden, Germany, and south-eastern Finland. Terrain topography - via the area of a resolution cell - accounted for 61 percent of the total variation in a Seasat (L-band) SAR scene in a hilly and mountainous study site. A methodology - based on least squares adjustment of tie point and ground control point observations in a multi-temporal SAR mosaic dataset - produced a tie point RMSE (Root Mean Square Error) of 56 m and a GCP RMSE of 240 m in the African mosaic of the GRFM (Global Rain Forest Mapping) project. The mosaic consisted of 3624 JERS SAR scenes. A calibration revision methodology - also based on least squares adjustment and points in overlap areas between scenes - removed a calibration artifact of about 1 dB. A systematic search of the highest correlation between forest stem volume and backscattering amplitude was conducted over all combinations of transmit and receive polarisations in three AIRSAR scenes in a German study site. In the P-band, a high and narrow peak around HV-polarisation was found, where the correlation coefficient was 0.75, 0.59, and 0.71 in scenes acquired in August 1989, June 1991, and July 1991, respectively. In other polarisations of P-band, the correlation coefficient was lower. In L-band, the polarisation response was more flat and correlations lower, between 0.54 and 0.70 for stands with a stem volume 100 m3/ha or less. Three summer-time JERS SAR scenes produced very similar regression models between forest stem volume and backscattering amplitude in a study site in south-eastern Finland. A model was proposed for wide area biomass mapping when biomass accuracy requirements are not high. A multi-date regression model employing three summer scenes and three winter scenes produced a multiple correlation coefficient of 0.85 and a stem volume estimation RMSE of 41.3m3/ha. JERS SAR scenes that were acquired in cold winter conditions produced very low correlations ... Book Northern Sweden VTT's Research Information Portal |
spellingShingle | wide-area mapping remote sensing Synthetic Aperture Radar forest biomass SAR Polarimetry mosaicking forests backscattering Rauste, Yrjö Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title | Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title_full | Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title_fullStr | Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title_full_unstemmed | Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title_short | Techniques for wide-area mapping of forest biomass using radar data:Dissertation |
title_sort | techniques for wide-area mapping of forest biomass using radar data:dissertation |
topic | wide-area mapping remote sensing Synthetic Aperture Radar forest biomass SAR Polarimetry mosaicking forests backscattering |
topic_facet | wide-area mapping remote sensing Synthetic Aperture Radar forest biomass SAR Polarimetry mosaicking forests backscattering |
url | https://cris.vtt.fi/en/publications/b60da896-5117-483b-aecc-b929f4a152e3 https://publications.vtt.fi/pdf/publications/2005/P591.pdf |