Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H.
(2016).
Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images.
I/In: IGARSS 2016 Symposium, Advancing the understanding of our living planet, 10-15 July, Beijing, China.
[Conference Paper]
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Official URL: https://doi.org/10.1109/IGARSS.2016.7730388
Abstract
A first evaluation of ALOS-2 PALSAR-2 data for forest stem volume estimation has been performed at a coniferous dominated test site in southern Sweden. Both the Fine Beam Dual (FBD) polarization and the Quad-polarimetric mode were investigated. Forest plots with stem volume reaching up to a maximum of about 620 m3 ha-1 (corresponding to 370 tons ha-1) were analyzed by relating backscatter intensity to field data using an exponential model derived from the Water Cloud Model. The estimation accuracy of stem volume at plot level (0.5 ha) was calculated in terms of Root Mean Square Error (RMSE). For the best case investigated an RMSE of 43.1% was obtained using one of the FBD HV-polarized images. The corresponding RMSE for the FBD HH-polarized images was 43.9%. In the Quadpolarimetric mode the lowest RMSE at HV- and HHpolarization was found to be 39.8% and 47.4%, respectively.
| Authors/Creators: | Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H. |
|---|---|
| Title: | Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. |
| Year of publishing : | 2016 |
| Page range: | 5327-5330 |
| Number of Pages: | 4 |
| Place of Publication: | New Jersey |
| Publisher: | IEEE / Institute of Electrical and Electronics Engineers Incorporated |
| ISBN for printed version: | 9781509033324 |
| Language: | English |
| Publication Type: | Conference Paper (Paper) |
| Refereed: | Yes |
| Article category: | Other scientific |
| Version: | Accepted version |
| Full Text Status: | Public |
| Subjects: | (A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing |
| Keywords: | forestry, biomass, Root Mean Square Error (RMSE), stem volumes, satellite imagery, Synthetic Aperture Radar |
| URN:NBN: | urn:nbn:se:slu:epsilon-e-3886 |
| Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3886 |
| ID Code: | 13962 |
| Faculty: | S - Faculty of Forest Sciences |
| Department: | (S) > Dept. of Forest Resource Management (NL, NJ) > Dept. of Forest Resource Management |
| Deposited By: | SLUpub Connector |
| Deposited On: | 19 Jan 2017 09:47 |
| Metadata Last Modified: | 09 Sep 2020 14:17 |
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