Estimation of Vegetation Water Content From the Radar Vegetation Index at L-Band

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 2, 2016, Pages 981-989

  Huang, Yuancheng ^a   Walker, Jeffrey P ^a   Gao, Ying ^a   Wu, Xiaoling ^a   Monerris, Alessandra ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Microwave remote sensing; radar vegetation index (RVI); soil moisture active passive experiment (SMAPEx); vegetation water content (VWC)

Indexed keywords

AGRICULTURE; MEAN SQUARE ERROR; NASA; PRODUCTIVITY; REMOTE SENSING; SOIL MOISTURE; SPACE OPTICS; SPACE-BASED RADAR; SURFACE ROUGHNESS; WATER CONTENT;

AGRICULTURAL PRODUCTIVITY; MICROWAVE REMOTE SENSING; SOIL MOISTURE ACTIVE PASSIVE (SMAP); SOIL MOISTURE ACTIVE PASSIVE EXPERIMENT (SMAPEX); SOIL MOISTURE RETRIEVALS; VEGETATION INDEX; VEGETATION WATER CONTENT; VEGETATION WATER CONTENTS (VWC);

VEGETATION;

AGRICULTURAL PRODUCTION; ESTIMATION METHOD; PASTURE; RADIOMETER; REMOTE SENSING; SOIL MOISTURE; SPATIAL VARIATION; SURFACE ROUGHNESS; VEGETATION COVER; VEGETATION INDEX; VEGETATION STRUCTURE; VEGETATION TYPE; WATER CONTENT; WHEAT;

TRITICUM AESTIVUM;

EID: 84946782536     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2471803     Document Type: Article

References (28)

1. E. R. Hunt, Jr., L. Li, M. T. Yilmaz, and T. J. Jackson, "Comparison of vegetation water contents derived from shortwave-infrared and passivemicrowave sensors over central Iowa," Remote Sens. Environ., vol. 115, no. 9, pp. 2376-2383, Sep. 2011.
2. H. Lawrence et al., "Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA," Remote Sens. Environ., vol. 140, pp. 396-406, Jan. 2014.
3. D. M. Le Vine and M. A. Karam, "Dependence of attenuation in a vegetation canopy on frequency and plant water content," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 5, pp. 1090-1096, Sep. 1996.
4. J. Penuelas, I. Filella, C. Biel, L. Serrano, and R. Save, "The reflectance at the 950-970 mm region as an indicator of plant water status," Int. J. Remote Sens., vol. 14, no. 10, pp. 1887-1905, 1993.
5. B. C. Gao and A. F. Goetz, "Retrieval of equivalent water thickness and information related to biochemical components of vegetation canopies from AVIRIS data," Remote Sens. Environ., vol. 52, no. 3, pp. 155-162, Jun. 1995.
6. Y. Y. Liu, A. I. J.M. van Dijk, R. A. M. de Jeu, and T. R. H. Holmes, "An analysis of spatiotemporal variations of soil and vegetation moisture from a 29-year satellite-derived data set over mainland Australia," Water Res. Res., vol. 45, no. 7, 470-474, Jul. 2009.
7. M. Owe, R. de Jeu, and T. Holmes, "Multisensor historical climatology of satellite-derived global land surface moisture," J. Geophys. Res., vol. 113, no. F1, Mar. 2008, Art. No. F01002.
8. T. J. Jackson and T. J. Schmugge, "Vegetation effects on the microwave emission of soils," Remote Sens. Environ., vol. 52, no. 3, pp. 155-162, Jun. 1995.
9. C. J. Tucker, "Red and photographic infrared linear combinations for monitoring vegetation," Remote Sens. Environ., vol. 8, no. 2, pp. 127-150, May 1979.
10. D. Chen, T. J. Jackson, F. Li, M. H. Cosh, and C. Walthall, "Estimation of vegetation water content for corn and soybeans with a normalized difference water index (NDWI) using Landsat thematic mapper data," in Proc. IEEE Geosci. Remote Sens. Symp., Jul. 2003, vol. 4, pp. 2853-2856.
11. Y. Gao et al., "Optical sensing of vegetation water content: A synthesis study," IEEE J. Sel. Topics Remote Sens., vol. 8, no. 4, 1456-1464, Apr. 2015.
12. T. J. Jackson et al., "Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybean," Remote Sens. Environ., vol. 92, no. 4, pp. 475-482, Sep. 2004.
13. D. Chen, J. Huang, and T. J. Jackson, "Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS nearand short-wave infrared bands," Remote Sens. Environ., vol. 98, no. 2/3, pp. 225-236, Oct. 2005.
14. Y. Kim, T. Jackson, H. Lee, and S. Hong, "Radar vegetation index for estimating the vegetation water content of rice and soybean," IEEE Trans. Geosci. Remote Sens., vol. 9, no. 4, pp. 564-568, Jul. 2012.
15. J. P. Walker, P. Houser, and G. Willgoose, Active Microwave Remote Sensing for Soil Moisture Measurement: A Field Evaluation Using ERS-2. Hoboken, NJ, USA: Wiley, Aug. 2004, vol. 18, no. 11, pp. 1975-1997.
16. J. G. P. W. Clevers and H. J. C. van Leeuwen, "Combined use of optical and microwave remote sensing data for crop growth monitoring," Remote Sens. Environ., vol. 56, no. 1, pp. 42-51, Apr. 1996.
17. Y. J. Kim and J. Van Zyl, "A time-series approach to estimate soil moisture using polarimetric radar data," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2519-2527, Aug. 2009.
18. M. Arii, J. van Zyl, and Y. Kim, "A general characterization for polarimetric scattering from vegetation canopies," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 9, pp. 3349-3357, Sep. 2010.
19. K. A. McColl, D. Entekhabi, and M. Piles, "Uncertainty analysis of soil moisture and vegetation indices using Aquarius scatterometer observations," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4259-4272, Jul. 2014.
20. Y. Kim et al., "Retrieval of wheat growth parameters with radar vegetation indices," IEEE Trans. Geosci. Remote Sens., vol. 11, no. 4, pp. 808-812, Apr. 2014.
21. A. Monerris et al., The Third Soil Moisture Active Passive Experiment Workplan. Melbourne, VIC, Australia: Monash Univ. Publisher, Aug. 2011.
22. X. Wu, J. P. Walker, C. Rüdiger, R. Panciera, and D. Gray, "Simulation of the SMAP data stream from SMAPEx field campaigns in Australia," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 1921-1934, Apr. 2015.
23. D. Gary et al., "PLIS: An airborne polarimetric L-band interferometric synthetic aperture radar," in Proc. APSAR, 2012, pp. 1-4.
24. R. Panciera et al., "The Soil Moisture Active Passive Experiment (SMAPEx): Towards soil moisture retrieval from the SMAP mission," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, 490-507, Jan. 2014.
25. N. Ye, J. Walker, and C. Rüdiger, "A cumulative distribution function method for normalizing variable-angle microwave observations," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 7, 3906-3916, Jul. 2015.
26. M. W. Whitt and F. T. Ulaby, "Radar response of periodic vegetation canopies," Int. J. Remote Sens., vol. 15, pp. 1813-1848, Oct. 1993.
27. A. Monsivais-Huertero, I. Chenerie, K. Sarabandi, F. Baup, and E. Mougin, "Microwave electromagnetic modelling of Sahelian grassland," Int. J. Remote Sens., vol. 31, no. 7, pp. 1915-1942, Dec. 2008.
28. D. Liu, G. Sun, Z. Guo, K. Jon Ranson, and Y. Du, "Three-dimensional coherent radar backscatter model and simulations of scattering phase center of forest canopies," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 349-357, Jan. 2010.