CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest

Gustaf Sandberg (Institutionen för rymd- och geovetenskap, Radarfjärranalys) ; Lars M. H. Ulander (Institutionen för rymd- och geovetenskap, Radarfjärranalys) ; J. E. S. Fransson ; J. Holmgren ; T. Le Toan
Remote Sensing of Environment (0034-4257). Vol. 115 (2011), 11, p. 2874 - 2886.
[Artikel, refereegranskad vetenskaplig]

At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecosystems. In order to reduce these uncertainties it is necessary to provide consistent and accurate global estimates of the world forest biomass. One of the most promising methods for obtaining such estimates is through polarimetric SAR backscatter measurements at low frequencies. In this paper, the relation between polarimetric SAR backscatter at L- and P-bands and forest biomass is investigated using data acquired within the BioSAR-I campaign in southern Sweden during 2007. Methods for estimating biomass on stand level using these data are developed and evaluated, and the results for the two frequency bands are compared. For L-band data, the best results were obtained using HV-polarized backscatter only, giving estimation errors in terms of root mean square errors (RMSE) between 31% and 46% of the mean biomass for stands with biomass ranging from 10 to 290 t/ha, and an (adjusted) coefficient of determination (R2) between 0.4 and 0.6. For P-band data, the results are better than for L-band. Models using HV- or HH-polarized P-band backscatter give similar results, as does a model including both HV and HH. The RMSEs were between 18 and 27%, and the R2 values were between 0.7 and 0.8.

Nyckelord: SAR, Forestry, Biomass estimation, Linear regression, Model selection, Polarimetry, P-band, L-band

Denna post skapades 2011-10-21. Senast ändrad 2016-05-24.
CPL Pubid: 147523


Läs direkt!

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Radarfjärranalys (2010-2017)


Hållbar utveckling
Skogsuppskattning och skogsindelning

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:

Estimation of Forest Biomass and Faraday Rotation using Ultra High Frequency Synthetic Aperture Radar