Sentinel 1 Radar Data Correlation WITH GROUND Measurements of Soil Moisture and Temperature

 
PIIS020596140002354-0-1
DOI10.31857/S020596140002354-0
Publication type Article
Status Published
Authors
Affiliation: Institute of Radio Engineering and Electronics. V.A. Kotelnikova RAS
Address: Russian Federation
Journal nameIssledovanie Zemli iz kosmosa
EditionIssue 4
Pages32-42
Abstract

The goal of this study is to analyze correlation between Sentinel 1 C-band radar data and soil temperature and moisture resulting from in situ fi eld data. Ground-based measurements of temperature and soil moisture for seven stations in France and Germany for the period 2014–2016 are available on the website of the International soil moisture network. Results indicated positive as well as negative correlation between backscatter coeffi cient and soil temperature and soil moisture. The infl uence soil texture and surface roughtness on the correlation coeffi cient is examined. The regression relationships between the backscatter coeffi cient and soil parameters are constructed in the case of high correlation.

Keywords
Received22.12.2018
Publication date22.12.2018
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1. Belyaeva T.A., Bobrov A.P, B obrov P.P., Galleev O.V., Mandrygina V.N. Opredelenie parametrov modelej diehlektricheskoj pronitsaemosti pochv s razlichnoj plotnost'yu i razlichnym soderzhaniem gumusa po dannym ehksperimental'nykh izmerenij v chastotnom diapazone 0.1-20 GGts // Issl. Zemli iz kosmosa. 2003. № 5. S. 28–34.

2. Muzalevskij K.V., Mironov V.L., Boike Dzh., Shvaleva A.A., Evtyushkin A.V., Filatov A.V. Izmerenie temperatury merzlogo deyatel'nogo sloya pochvennogo pokrova arkticheskoj tundry po dannym kosmicheskogo radara ALOS PALSAR // Izv. vuzov. Fizika. 2013. T. 56. № 10–3. C. 91–93.

3. Attema E.P.W., Ulaby F.T. Vegetation modeled as a water cloud // Radio Sci (USA). 1978. V. 13. P. 357–364.

4. Blumberg D.G., Freilikher V., Lyalko I.V., Vulfson L.D., Kotlyar A.L., Shevchenko V.N., Ryabokonenko A.D. Soil moisture (water-content) assessment by an airborne scatterometer // Rem. Sens. Environm. 2000. V. 71. P. 309–319.

5. Dubois P.C., van Zyl J.J., Engman T. Measuring soil moisture with imaging radars // IEEE Trans. GRS. 1995. V. 33. № 4. P. 916–926.

6. De Roo R.D., Ulaby F.T., Dobson M.C. Using Microwave radar for soil moisture inversion under soybean canopies // Proc. of GRS Symp. IGARSS’98. 8–10 July, 1998.

7. Gherboudj I., Magagi R., Berg A. A., Toth B. Soil moisture retrieval over agricultural fi elds from multi-polarized and multi-angular RADARSAT-2 SAR data // Rem. Sens. of Environm. 2011. V. 115. P. 33–43.

8. Gorrab A., Zribi M., Baghdadi N., Mougenot B., L. Chabaane Z. Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the assessment of physical soil parameters // Rem. Sens. 2015. V. 7. P. 747–766.

9. Jackson T.J., Schmugge T.J. Passive microwave remote-sensing system for soil moisture. Some supporting research // IEEE Trans. GRS. 1989. V. 27. P. 225–235.

10. Khaldoune J., van Bochove E., Bernier M., Nolin M.C. An approach for mapping frozen soil of agricultural land under snow cover using RADARSAT-1 and RADARSAT-2// IEEE Intern. GRS Symp. (IGARSS’ 2008). Jul 2008. Boston, USA, 2008. V. 3. P.III-382-III-385.

11. Khaldoune J., van Bochove E., Bernier M., Nolin M.C. Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data // Appl. and Envir. Soil Sci. V. 2011. Article ID 193237, 16 p., doi: 10.1155/2011/193237.

12. Oh Y., Sarabandi K., Ulaby F.T. An empirical model and an inversion technique for radar scattering from bare soil surfaces // IEEE Trans. GRS. 1992. V. 30. P. 370–381.

13. Thoma D.P., Moran M.S., Bryant R., Rahman M.M., Holifi eld Collins C.D., Keefer T.O., Noriega R., Osman I., Skrivin S.M., Tischler M.A., Bosch D.D., Starks P.J., Peters-Lidard C.D. Appropriate scale of soil moisture retrieval from high resolution radar imagery for bare and minimally vegetated soils // Rem. Sens. Environm. 2008. V. 112. P. 403–414.

14. Srivastava H.S., Patel P., Navalgund R.R. How far SAR has fullfi lled its expectation for soil moisture retrieval // SPIE Digital Library. 6410. 2006. Nov.13–17. Paper No. 64100. P. 1–12.

15. Ulaby F. T., Moore R. K., & Fung A. K. Microwave remote sensing: active and passive // From Theory to Appl. 1986. V. III. Dedham, MA: Artech House.

16. Zribi M., Dechambre M. A new empirical model to retrieve soil moisture and roughness from Radar Data // Rem. Sens. Environ. 2003. V. 84. P. 42–52.

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