Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data

被引:68
作者
Gama, Fabio Furlan [1 ]
dos Santos, Joao Roberto [1 ]
Mura, Jose Claudio [1 ]
机构
[1] Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, SP, Brazil
关键词
radar remote sensing; SAR; eucalyptus stands; volume; biomass; forest inventory; RADAR BACKSCATTER; FOREST BIOMASS; CALIBRATION;
D O I
10.3390/rs2040939
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work aims to establish a relationship between volume and biomass with interferometric and radiometric SAR (Synthetic Aperture Radar) response from planted Eucalyptus saligna forest stands, using multi-variable regression techniques. X and P band SAR images from the airborne OrbiSAR-1 sensor, were acquired at the study area in the southeast region of Brazil. The interferometric height (Hint = difference between interferometric digital elevation model in X and P bands), contributed to the models developed due to fact that Eucalyptus forest is composed of individuals whose structure is predominantly cylindrical and vertically oriented, and whose tree heights have great correlation with volume and biomass. The volume model showed that the stand volume was highly correlated with the interferometric height logarithm (Log(10)Hint), since Eucalyptus tree volume has a linear relationship with the vegetation height. The biomass model showed that the combination of both Hint(2) and Canopy Scattering Index-CSI (relation of sigma degrees(VV) by the sum of sigma degrees(VV) and sigma degrees(HH), which represents to the canopy interaction) were used in this model, due to the fact that the Eucalyptus biomass and the trees height relationship is not linear. Both models showed a prediction error of around 10% to estimate the Eucalyptus biomass and volume, which represents a great potential to use this kind of technology to help establish Eucalyptus forest inventory for large areas.
引用
收藏
页码:939 / 956
页数:18
相关论文
共 23 条
[1]  
[Anonymous], 1998, MANUAL REMOTE SENSIN
[2]  
BEAUDOIN A, 1994, INT J REMOTE SENS, V15, P2777, DOI 10.1080/01431169408954284
[3]  
Borgeaud M., 1996, P FRINGE 96 WORKSH E
[4]  
Caldeira Marcos Vinicius Winckler, 2001, Ciencia Florestal, V11, P79
[5]   An entropy based classification scheme for land applications of polarimetric SAR [J].
Cloude, SR ;
Pottier, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (01) :68-78
[6]   DEPENDENCE OF RADAR BACKSCATTER ON CONIFEROUS FOREST BIOMASS [J].
DOBSON, MC ;
ULABY, FT ;
LETOAN, T ;
BEAUDOIN, A ;
KASISCHKE, ES ;
CHRISTENSEN, N .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (02) :412-415
[7]  
GAMA F. F., 2006, AMBIENCIA, V2, P29
[8]  
Imhoff M.L., 1998, P IGARSS 98 NEXT GEN
[9]   RADAR BACKSCATTER AND BIOMASS SATURATION - RAMIFICATIONS FOR GLOBAL BIOMASS INVENTORY [J].
IMHOFF, ML .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (02) :511-518
[10]   The use of imaging radars for ecological applications - A review [J].
Kasischke, ES ;
Melack, JM ;
Dobson, MC .
REMOTE SENSING OF ENVIRONMENT, 1997, 59 (02) :141-156