Title :
Evaluation of different methods for forest regional biomass mapping from UAVSAR data
Author :
Zhang, Zhiyu ; Wang, Xingling ; Ni, Wenjian ; Sun, Guoqing ; Huang, Wenli ; Guo, Zhifeng
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Forest plays a vital role in carbon, energy and water cycling of Earth System. Estimation of forest biomass has become essential to ecosystem studies. In this paper, three approaches, linear regression, Maximum Entropy and Look-up table based on model, were adopted. It was found that linear regression or Maximum Entropy met the saturation when biomass reached 170 Mg/ha, by use of either HV polarization or all polarizations. Look-up Table based on backscatter model could predict biomass well with the highest R2=0.74, and over 250Mg/ha without saturation problem.
Keywords :
geophysical techniques; vegetation; Earth system; HV polarization; Look-up Table; UAVSAR data; backscatter model; carbon cycling; energy cycling; forest regional biomass mapping; linear regression; maximum entropy; water cycling; Backscatter; Biological system modeling; Biomass; Entropy; Estimation; Remote sensing; Table lookup; One; five; four; three; two;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352725