Evaluation of polarimetric Radarsat-2 SAR data for development of soil moisture retrieval algorithms over a chronosequence of black spruce boreal forests

被引:35
作者
Bourgeau-Chavez, Laura L. [1 ]
Leblon, Brigitte [2 ]
Charbonneau, Francois [3 ]
Buckley, Joseph R. [4 ]
机构
[1] Michigan Technol Univ, Michigan Tech Res Inst, Ann Arbor, MI 48105 USA
[2] Univ New Brunswick, Fredericton, NB, Canada
[3] Nat Resources Canada, Ottawa, ON, Canada
[4] Royal Mil Coll Canada, Dept Phys, Kingston, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Polarimetric radar; SAR; Polarimetric decomposition; Polarimetric discriminators; Soil moisture; Boreal; Fuel moisture; Black spruce; Picea mariana; SCATTERING MODEL; FIRE; SURFACE; ECOSYSTEMS; SIGNATURES; ALASKA;
D O I
10.1016/j.rse.2013.01.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
C-band Radarsat-2 data were used to develop Multi-parameter algorithms to retrieve soil moisture across a chronosequence (recently burned, shrubby regrowth and mature forest) of fire-disturbed Alaskan boreal black spruce forests using polarized backscatter intensity, polarimetric decomposition and discriminator parameters as independent variables. To account for complex interactions of surface roughness, biomass and soil moisture, multiple polarimetric variables were evaluated empirically in algorithm development using a time series dataset that included the wet and dry extreme conditions. Results indicate that polarimetric discriminators, such as maximum degree of polarization, fractional polarization or coefficient of variation, may be instrumental in accounting for the type of scattering occurring or the complexity or heterogeneity of the distributed target. Using the maximum degree of polarization combined with one or more variables on scattered intensity (e.g. C-HV, C-HH, or maximum scattering intensity) improved multi-linear moisture retrieval algorithms by 27-33% over the single, dual and quad polarized backscatter intensity algorithms. For all sites combined, algorithms were developed with low SE (7.0% volumetric soil moisture), moderately high R-2 (0.77) and low RMSE (6.7% volumetric soil moisture). However, the best models were produced by separating the recently burned forests (strongest algorithm: R-2 0.94, SE 5.9, RMSE 7.4) from the shrubby and mature forests (best algorithm: R-2 0.85, SE 4.7, RMSE 73). Results are limited to sites with biomass below 3 kg/m(2). (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:71 / 85
页数:15
相关论文
共 43 条
[1]   Fire danger monitoring using RADARSAT-1 over northern boreal forests [J].
Abbott, K. N. ;
Leblon, B. ;
Staples, G. C. ;
Maclean, D. A. ;
Alexander, M. E. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (06) :1317-1338
[2]  
Alexander ME, 1996, INITIAL ATTACK, P6
[3]  
[Anonymous], 2011, ESSENTIAL REGRESSION
[4]  
[Anonymous], THESIS CALTECH PASAD
[5]   Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling [J].
Baghdadi, Nicolas ;
Cerdan, Olivier ;
Zribi, Mehrez ;
Auzet, Veronique ;
Darboux, Frederic ;
El Hajj, Mahmoud ;
Kheir, Rania Bou .
HYDROLOGICAL PROCESSES, 2008, 22 (01) :9-20
[6]   Remote monitoring of spatial and temporal surface soil moisture in fire disturbed boreal forest ecosystems with ERS SAR imagery [J].
Bourgeau-Chavez, L. L. ;
Kasischke, E. S. ;
Riordan, K. ;
Brunzell, S. ;
Nolan, M. ;
Hyer, E. ;
Slawski, J. ;
Medvecz, M. ;
Walters, T. ;
Ames, S. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (10) :2133-2162
[7]  
Bourgeau-Chavez L. L., INT J REMOT IN PRESS
[8]   Improving the prediction of wildfire potential in boreal Alaska with satellite imaging radar [J].
Bourgeau-Chavez, Laura L. ;
Garwood, Gordon ;
Riordan, Kevin ;
Cella, Brad ;
Alden, Sharon ;
Kwart, Mary ;
Murphy, Karen .
POLAR RECORD, 2007, 43 (227) :321-330
[9]   Development of calibration algorithms for selected water content reflectometry probes for burned and non-burned organic soils of Alaska [J].
Bourgeau-Chavez, Laura L. ;
Garwood, Gordon C. ;
Riordan, Kevin ;
Koziol, Benjamin W. ;
Slawski, James .
INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2010, 19 (07) :961-975
[10]  
Bourgeau-Chavez LL, 2000, ECOL STU AN, V138, P111