TanDEM-X elevation model data for canopy height and aboveground biomass retrieval in a tropical peat swamp forest. Issue 21 (1st November 2016)
- Record Type:
- Journal Article
- Title:
- TanDEM-X elevation model data for canopy height and aboveground biomass retrieval in a tropical peat swamp forest. Issue 21 (1st November 2016)
- Main Title:
- TanDEM-X elevation model data for canopy height and aboveground biomass retrieval in a tropical peat swamp forest
- Authors:
- Schlund, Michael
von Poncet, Felicitas
Kuntz, Steffen
Boehm, Hans-Dieter Viktor
Hoekman, Dirk H.
Schmullius, Christiane - Abstract:
- ABSTRACT: It was demonstrated in the past that radar data is useful to estimate aboveground biomass due to their interferometric capability. Therefore, the potential of a globally available TanDEM-X digital elevation model (DEM) was investigated for aboveground biomass estimation via canopy height models (CHMs) in a tropical peat swamp forest. However, CHMs based on X-band interferometers usually require external terrain models. High accurate terrain models are not available on global scale. Therefore, an approach exclusively based on TanDEM-X and the decrease of accuracy compared to an approach utilizing a high accurate terrain model is assessed. In addition, the potential of X-band interferometric heights in tropical forests needs to be evaluated. Therefore, two CHMs were derived from an intermediate TanDEM-X DEM (iDEM; as a precursor for WorldDEM TM ) alone and in combination with lidar measurements used as terrain model. The analysis showed high accuracies (root mean square error [RMSE] = 5 m) for CHMs based on iDEM and reliable estimation of aboveground biomass. The iDEM CHM, exclusively based on TanDEM-X, achieved a poor R 2 of 0.2, nonetheless resulted in a cross-validated RMSE of 54 t ha −1 (16%). The low R 2 suggested that the X-band height alone was not sufficient to estimate an accurate CHM, and thus the need for external terrain models was confirmed. A CHM retrieved from the difference of iDEM and an accurate lidar terrain model achieved a considerably higherABSTRACT: It was demonstrated in the past that radar data is useful to estimate aboveground biomass due to their interferometric capability. Therefore, the potential of a globally available TanDEM-X digital elevation model (DEM) was investigated for aboveground biomass estimation via canopy height models (CHMs) in a tropical peat swamp forest. However, CHMs based on X-band interferometers usually require external terrain models. High accurate terrain models are not available on global scale. Therefore, an approach exclusively based on TanDEM-X and the decrease of accuracy compared to an approach utilizing a high accurate terrain model is assessed. In addition, the potential of X-band interferometric heights in tropical forests needs to be evaluated. Therefore, two CHMs were derived from an intermediate TanDEM-X DEM (iDEM; as a precursor for WorldDEM TM ) alone and in combination with lidar measurements used as terrain model. The analysis showed high accuracies (root mean square error [RMSE] = 5 m) for CHMs based on iDEM and reliable estimation of aboveground biomass. The iDEM CHM, exclusively based on TanDEM-X, achieved a poor R 2 of 0.2, nonetheless resulted in a cross-validated RMSE of 54 t ha −1 (16%). The low R 2 suggested that the X-band height alone was not sufficient to estimate an accurate CHM, and thus the need for external terrain models was confirmed. A CHM retrieved from the difference of iDEM and an accurate lidar terrain model achieved a considerably higher correlation with aboveground biomass ( R 2 = 0.68) and low cross-validated RMSE of 24.5 t ha −1 (7.5%). This was higher or comparable to other aboveground biomass estimations in tropical peat swamp forests. The potential of X-band interferometric heights for CHM and biomass estimation was thus confirmed in tropical forest in addition to existing knowledge in boreal forests. … (more)
- Is Part Of:
- International journal of remote sensing. Volume 37:Issue 21(2016)
- Journal:
- International journal of remote sensing
- Issue:
- Volume 37:Issue 21(2016)
- Issue Display:
- Volume 37, Issue 21 (2016)
- Year:
- 2016
- Volume:
- 37
- Issue:
- 21
- Issue Sort Value:
- 2016-0037-0021-0000
- Page Start:
- 5021
- Page End:
- 5044
- Publication Date:
- 2016-11-01
- Subjects:
- Remote sensing -- Periodicals
Télédétection -- Périodiques
621.3678 - Journal URLs:
- http://www.tandfonline.com/toc/tres20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/01431161.2016.1226001 ↗
- Languages:
- English
- ISSNs:
- 0143-1161
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.528000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2423.xml