A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields

被引:41
作者
Kweon, Soon-Koo [1 ]
Oh, Yisok [2 ]
机构
[1] Hongik Univ, Seoul 121791, South Korea
[2] Hongik Univ, Sch Elect & Elect Engn, Seoul 121791, South Korea
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2015年 / 53卷 / 05期
基金
新加坡国家研究基金会;
关键词
Backscattering coefficient; first-order radiative transfer model (RTM); ground-based scatterometer; modified water-cloud model (MWCM); synthetic aperture radar (SAR); vegetation field; DIFFERENTIAL MUELLER MATRIX; SOIL-MOISTURE; SCATTERING MODEL; AREA INDEX; RADAR DATA; VEGETATION; CALIBRATION; COEFFICIENT; SURFACE; CORN;
D O I
10.1109/TGRS.2014.2364914
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields. We modified the water-cloud model (WCM) by adding new parameters (the average and standard deviation of leaf angle distribution) to accurately estimate the backscattering coefficients with the angular effect of scattering particles in a vegetation canopy. A relatively accurate radiative transfer model (RTM) and field measurements were used in this modification. The accuracy of the RTM was verified with the C-band ground-based scatterometer data of a cornfield, the X-band synthetic aperture radar data and ground-based scatterometer data of a bean field, and the in situ measured ground-truth data of those fields. The newly modifiedWCM (MWCM) was also verified with the measurement data. It was found that the root-mean-square errors between the MWCM and the measurements were less than 1.5 dB for all backscatter data from the agricultural vegetation fields.
引用
收藏
页码:2802 / 2809
页数:8
相关论文
共 28 条
[1]  
[Anonymous], 1986, MICROWAVE REMOTE SEN
[2]   VEGETATION MODELED AS A WATER CLOUD [J].
ATTEMA, EPW ;
ULABY, FT .
RADIO SCIENCE, 1978, 13 (02) :357-364
[3]   Soil moisture inversion at L-band using a dual-polarization technique: a model-based sensitivity analysis [J].
Chauhan, NS .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (16) :3209-3227
[4]   Soil moisture retrieval over agricultural fields from multi-polarized and multi-angular RADARSAT-2 SAR data [J].
Gherboudj, Imen ;
Magagi, Ramata ;
Berg, Aaron A. ;
Toth, Brenda .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (01) :33-43
[5]   Extracting biophysical parameters from remotely sensed radar data: a review of the water cloud model [J].
Graham, AJ ;
Harris, R .
PROGRESS IN PHYSICAL GEOGRAPHY, 2003, 27 (02) :217-229
[6]  
Hong J.-Y., 2008, THESIS HONGIK U SEOU
[7]   A MICROWAVE POLARIMETRIC SCATTERING MODEL FOR FOREST CANOPIES BASED ON VECTOR RADIATIVE-TRANSFER THEORY [J].
KARAM, MA ;
AMAR, F ;
FUNG, AK ;
MOUGIN, E ;
LOPES, A ;
LEVINE, DM ;
BEAUDOIN, A .
REMOTE SENSING OF ENVIRONMENT, 1995, 53 (01) :16-30
[8]   LEAF-SHAPE EFFECTS IN ELECTROMAGNETIC-WAVE SCATTERING FROM VEGETATION [J].
KARAM, MA ;
FUNG, AK .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1989, 27 (06) :687-697
[9]   Estimation of water cloud model vegetation parameters using a genetic algorithm [J].
Kumar, Kamal ;
Prasad, K. S. Hari ;
Arora, M. K. .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2012, 57 (04) :776-789
[10]  
Kweon S.-K., 2012, J ELECTROMAGN ENG SC, V12, P115