X-BAND TERRASAR-X AND COSMO-SKYMED SAR DATA FOR BARE SOIL PARAMETERS ESTIMATION

被引:3
|
作者
Gorrab, Azza [1 ]
Zribi, Mehrez [1 ]
Baghdadi, Nicolas
Mougenot, Bernard [1 ]
Chabaane, Zohra Lili
机构
[1] CNRS UPS IRD CNES, CESBIO, F-31401 Toulouse 9, France
来源
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词
Soil moisture; roughness; TerraSAR-X; COSMO-Sky-Med; RADAR DATA; AGRICULTURAL FIELDS; SURFACE PARAMETERS; MOISTURE; SENSITIVITY; ROUGHNESS;
D O I
10.1109/IGARSS.2014.6947165
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The goal of this paper is to analyze the potential of COSMO-SkyMed and TerraSAR-X SAR measurements over bare soils in order to estimate correctly soil parameters. We analyzed statistically the relationships between X-SAR backscattering signals function of soil moisture and different roughness parameters (the root mean square height Hrms, the Zs parameter and the Zg parameter) at HH polarization and for an incidence angle about 35.5 degrees. Results have shown a high sensitivity of real radar data to the two soil parameters: roughness and moisture. A linear relationship is obtained between volumetric soil moisture and radar signal with the strongest correlation observed with gravimetric moisture measurements. A logarithmic correlation is observed between backscattering coefficient and all roughness parameters. The highest dynamic sensitivity is obtained with Zg parameter.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models
    Santi, Emanuele
    De Gregorio, Ludovica
    Pettinato, Simone
    Cuozzo, Giovanni
    Jacob, Alexander
    Notarnicola, Claudia
    Guenther, Daniel
    Strasser, Ulrich
    Cigna, Francesca
    Tapete, Deodato
    Paloscia, Simonetta
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [43] Using stereo SAR and InSAR by combining the COSMO-SkyMed and the TanDEM-X mission satellites for estimation of absolute height
    Eldhuset, K.
    Weydahl, D. J.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (23) : 8463 - 8474
  • [44] Quantifying Two-Dimensional Surface Displacements Using High-Resolution Cosmo-SkyMed, TerraSAR-X and Medium-Resolution Sentinel-1 SAR Interferometry: Case Study for the Tengiz Oilfield
    Bayramov, Emil
    Tessari, Giulia
    Kada, Martin
    SENSORS, 2022, 22 (17)
  • [45] Soil moisture retrieval over irrigated grassland using X-band SAR data
    El Hajj, Mohammad
    Baghdadi, Nicolas
    Zribi, Mehrez
    Belaud, Gilles
    Cheviron, Bruno
    Courault, Dominique
    Charron, Francois
    REMOTE SENSING OF ENVIRONMENT, 2016, 176 : 202 - 218
  • [46] Soil-moisture estimation from TerraSAR-X data using neural networks
    Matej Kseneman
    Dušan Gleich
    Božidar Potočnik
    Machine Vision and Applications, 2012, 23 : 937 - 952
  • [47] MAPPING OF SURFACE SOIL PARAMETERS (ROUGHNESS, MOISTURE AND TEXTURE) USING ONE RADAR X-BAND SAR CONFIGURATION OVER BARE AGRICULTURAL SEMI-ARID REGION
    Gorrab, Azza
    Zribi, Mehrez
    Baghdadi, Nicolas
    Chabaane, Zohra Lili
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 3035 - 3038
  • [48] COSMO SKYMED AO PROJECTS-SOIL MOISTURE DETECTION FOR VEGETATION FIELDS BASED ON A MODIFIED WATER-CLOUD MODEL USING COSMO-SKYMED SAR DATA
    Kweon, Soon-Koo
    Hwang, Ji-Hwan
    Oh, Yisok
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1204 - 1207
  • [49] Method for soil moisture retrieval in arid prairie using TerraSAR-X data
    Bai, Xiaojing
    He, Binbin
    Xing, Minfeng
    Li, Xiaowen
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [50] COMPARISON OF INVERSION MODELS OF WIND SPEED RETRIEVAL FROM C-BAND SENTINEL-1 AND X-BAND TERRASAR-X DATA
    Tran Vu La
    Khenchaf, Ali
    Comblet, Fabrice
    Nahum, Carole
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2261 - 2264