Abstract
Soil moisture content is an important land geophysical parameter, which is required in hydrology, climatology, agriculture, among others. The soil moisture provides useful information for energy balance and crop yield expectation and plays an important role in the interaction between continental surfaces and atmosphere, and is also a key component of the terrestrial carbon cycle. In this chapter, the theoretic studies and applications are introduced from GNSS hydrology and vegetation remote sensing.
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References
Cardellach E, Fabra F, Nogues-Correig O, Oliveras S, Ribo S, Rius A (2011) GNSSR groundbased and airborne campaigns for ocean, land, ice, and snow techniques: application to the GOLDRTR data sets. Radio Sci 46:RS0C04. doi:10.1029/2011RS004683
Entekhabi D et al (2010) The soil moisture active passive (SMAP) mission. Proc IEEE 98(5):704–716
Ferrazzoli P, Guerriero L, Pierdicca N, Rahmoune R (2010) Forest biomass monitoring with GNSS-R: theoretical simulations. Adv Space Res. doi:10.1016/j.asr.2010.04.025
Jackson TJ, Schmugge J, Engman ET (1996) Remote sensing applications to hydrology: soil moisture. Hydrol Sci J 41(4):517–530
Katzberg S, Torres O, Grant MS, Masters D (2006) Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: Results from SMEX02. Remote Sens Environ 100(1):17–28
Kerr YH et al (2001) Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Trans Geosci Remote Sens 39(8):1729–1735
Larson KM, Small EE, Gutmann ED, Bilich AL, Braun JJ, Zavorotny VU (2008a) Use of GPS receivers as a soil moisture network for water cycle studies. Geophys Res Lett 35:L24405. doi:10.1029/2008GL036013
Larson KM, Small EE, Gutmann E, Bilich A, Axelrad P, Braun J (2008b) Using GPS multipath to measure soil moisture fluctuations: initial results. GPS Solut 12(3):173–177
Larson KM, Braun JJ, Small EE, Zavorotny VU, Gutmann ED, Bilich AL (2010) GPS multipath and its relation to near-surface soil moisture content. IEEE J Sel Topics Appl Earth Obs Remote Sens 3(1):91–99
Masters D (2004) Surface remote sensing applications of GNSS Bistatic Radar: soil moisture and aircraft altimetry. Ph.D. dissertation, University of Colorado at Boulder
Masters D, Zavorotny V, Katzberg S, Emery W (2000) GPS signal scattering from land for moisture content determination. In: Proceeding of the IEEE international geosciences and remote sensing symposium, Honolulu, HI, 24–28 July, pp 3090–3092
Masters D, Axelrad A, Katzberg SJ (2004) Initial results of landreflected GPS bistatic radar measurements in SMEX02. Remote Sens Environ 92:507–520
Monerris A, Rodriguez-Alvarez N, Vall-llossera M et al (2009) The GPS and RAdiometric Joint Observations experiment at the REMEDHUS site (Zamora-Salamanca region, Spain). In: Proceedings of 2009 IEEE international on geoscience and remote sensing symposium (IGARSS 2009) 3:286–289
Njoku EG, Entekhabi D (1996) Passive microwave remote sensing of soil moisture. J Hydrol 184(1–2):101–129
Rodriguez-Alvarez N, Marchan-Hernandez JF, Camps A et al (2009a) Topographic profile retrieval using the Interference Pattern GNSS-R technique. In: Proceeding of 2009 IEEE international symposium geoscience and remote sensing (IGARSS 2009) 3:420–423
Rodriguez-Alvarez N, Monerris A, Bosch-Lluis X et al (2009b) Soil moisture and vegetation height retrieval using GNSS-R techniques. In: Proceeding of 2009 IEEE international symposium geoscience and remote sensing (IGARSS 2009) 3:869–872
Rodriguez-Alvarez N, Monerris A, Bosch-Lluis X et al (2010a) Soil moisture and vegetation height retrieval using GNSS-R techniques. Proc IGARSS 2010(3):869–872
Rodriguez-Alvarez N et al (2010b) Land geophysical parameters retrieval using the Interference Pattern GNSS-R Technique. IEEE Trans Geosci Remote Sens:1–14. doi:10.1109/TGRS.2010.2049023
Rodriguez-Alvarez N, Bosch-Lluis X, Camps A, Aguasca A, Vall-llossera M, Valencia E, Ramos-Perez I, Park H (2011) Review of crop growth and soil moisture monitoring from a ground-based instrument implementing the Interference Pattern GNSS-R Technique, Radio Sci 46:RS0C03. doi:10.1029/2011RS004680
Shi JC et al (2012) Progresses on microwave remote sensing of land surface parameters. Sci China Earth Sci 55(7):1052–1078
Ulaby FT, Moore RK, Fung AK (1981) Microwave remote sensing: active and passive, vol I, Microwave remote sensing fundamentals and radiometry. Addison-Wesley, Advanced Book Program, Reading, p 456
Wu X, Li Y (2012) GNSS-R reflected signals polarization characteristics: theoretical study on vegetation remote sensing. In: Geoscience and remote sensing symposium (IGARSS), 2012 IEEE International. 2012: IEEE
Wu X, Li Y, Xu J (2012) Theoretical study on GNSS-R vegetation biomass. In: Geoscience and remote sensing symposium (IGARSS), 2012 IEEE International. 2012: IEEE
Zavorotny VU, Voronovich AG (2000a) Bistatic GPS signal reflections at various polarizations from rough land surface with moisture content. In: Proceedings of IGARSS00, Honolulu, HI
Zavorotny VU, Voronovich AG (2000b) Scattering of GPS signals from the ocean with wind remote sensing application. IEEE Trans Geosci Remote Sens 38:951964
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Jin, S., Cardellach, E., Xie, F. (2014). Hydrology and Vegetation Remote Sensing. In: GNSS Remote Sensing. Remote Sensing and Digital Image Processing, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7482-7_10
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DOI: https://doi.org/10.1007/978-94-007-7482-7_10
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