Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
- Arbonaut Oy Ltd.
- VTT Technical Research Centre of Finland
- Lappeenranta University of Technology
In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal.
Research to be presented at the conference concentrates on several scientific goals. First, location of interferometric scattering phase centre inside forest canopy is investigated using reference ALS measured canopy height model. Means for forest tree height extraction using both model based approaches (similar to Random Volume over Ground) and semi-empirical models are investigated and reported. It is shown, that forest tree height retrieval is possible with RMSE around 2.8 meters (R-2=0.68). Secondly, correlations between ALOS PALSAR and tropical forest data are analysed, and AGB estimation using fully polarimetric SAR features is performed. Several statistical and non-parametric methodologies were tested and compared. Thirdly, forest AGB estimation is done using both TanDEM-X based tree height and L-band PolSAR features using statistical inversion framework.
|Title of host publication||IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium|
|Publication status||Published - 2018|
|MoE publication type||A4 Article in a conference publication|
|Event||International Geoscience and Remote Sensing Symposium - Valencia, Spain|
Duration: 22 Jul 2018 → 27 Jul 2018
Conference number: 38
|Name||IEEE International Symposium on Geoscience and Remote Sensing IGARSS|
|Conference||International Geoscience and Remote Sensing Symposium|
|Period||22/07/2018 → 27/07/2018|
- forest tree height, above ground biomass, random volume over ground, k nearest neighbors, TanDEM-X, ALOS PALSAR, LIDAR