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Original Articles

Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin

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Pages 1107-1116 | Received 17 May 2013, Accepted 30 Aug 2013, Published online: 10 Oct 2013

References

  • Al-Rumkhani, Y.A. and Din, S.U., 2004, Use of remote sensing for irrigation scheduling in arid lands of Saudi Arabia. Journal of the Indian Society of Remote Sensing, 32, pp. 225–233.
  • Anguela, T.P., Zribi, M., Baghdadi, N. and Loumagne, C., 2010, Analysis of local variation of soil surface parameters with TerraSAR-X radar data over bare agricultural fields. Transaction on IEEE Geoscience and Remote Sensing, 48, pp. 874–881.
  • Aubert, M., Baghdadi, N., Zribi, M., Douaoui, A., Loumagne, C., Baup, F., El Hajj, M. and Garrigues, S., 2011, Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust. Remote Sensing of Environment, 115, pp. 1801–1810.
  • Aubert, D., Loumagne, C. and Oudin, L., 2003, Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall runoff model. Journal of Hydrology, 280, pp. 145–161.
  • Balenzano, A., Satalino, G., Belmonte, G., D’urso, G., Capodici, F., Iacobellis, V., Gioia, A., Rinaldi, M., Ruggieri, S. and Mattia, F., 2011, On the use of multi-temporal series of Cosmo-SkyMed, data for landcover classification and surface parameter retrieval over agricultural sites. In Geoscience and Remote Sensing Symposium (IGARSS), IEEE International, 24–29 July 2011, Vancouver, BC.
  • Baronti, S., Del Frate, F., Ferrazzoli, P., Paloscia, S., Pampaloni, P. and Schiavon, G., 1995, SAR polarimetric features of agricultural areas. International Journal of Remote Sensing, 16, pp. 2639–2656.
  • Bates, P.D., 2004, Remote sensing and flood inundation modeling. Hydrology Processes, 18, pp. 2593–2597.
  • Bouman, B.A.M. and Van Kasteren, H.W.J., 1990, Groundbased X-band (3-cm wave) radar backscattering of agricultural crops. II. wheat, barley, and oats; the impact of canopy structure. Remote Sensing of Environment, 34, pp. 107–119.
  • Cammalleri, C., Ciraolo, G., La Loggia, G. and Maltese, A., 2012, Daily evapotranspiration assessment by means of residual surface energy balance modeling: a critical analysis under a wide range of water availability. Journal of Hydrology, 452, pp. 119–129.
  • Capodici, F., D’urso, G. and Maltese, A., 2013, Investigating the relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI detection. Remote Sensing, 5, pp. 1389–1404.
  • Demarez, V., Duthoit, S., Baret, F., Weiss, M. and Dedieu, G., 2008, Estimation of leaf area and clumping indexes of crops with hemispherical photographs. Agricultural and Forest Meteorology, 148, pp. 644–655.
  • Dente, L., Satalino, G., Mattia, F. and Rinaldi, M., 2008, Assimilation of leaf area index derived from ASAR and MERIS data into CERES-wheat model to map wheat yield. Remote Sensing of Environment, 112, pp. 1395–1407.
  • Ferrazzoli, P., Paloscia, S., Pampaloni, P., Schiavon, G., Sigismondi, S. and Solimini, D., 1997, The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 5–17.
  • Fieuzal, R., Baup, F. and Marais-Sicre, C., 2013, Monitoring wheat and rapeseed by using synchronous optical and radar satellite data from temporal signatures to crop parameters estimation. Advances in Remote Sensing, 2, pp. 162–180.
  • Frei, U., Graf, K.C. and Meier, E. 1993, Cartographic reference system. In SAR Geocoding. Data and Systems, G. Schreier (Ed.) (Berlin, Germany: Wichmann Verlag).
  • Hadria, R., Duchemin, B., Jarlan, L., Dedieu, G., Baup, F., Khabba, S., Olioso, A. and Le Toan, T., 2010, Potentiality of optical and radar satellite data at high spatio-temporal resolutions for the monitoring of irrigated wheat crops in Morocco. International Journal of Applied Earth Observation and Geoinformation, l, pp. S32–S37.
  • Holecz, F., Meier, E., Piesbergen, J. and Nüesch, D., 1993, Topographic effects on radar cross section. In Proceedings on CEOS SAR Calibration Workshop, 20–24 September 1993 (Noordwijk: ESA-ESTEC), pp. 23–28.
  • Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M. and Baret, F., 2004, Review of methods for in-situ leaf area index determination. Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology, 121, pp. 19–35.
  • Kropatsch, W.G. and Strobl, D., 1990, The generation of SAR layover and shadow maps from digital elevation models. Transaction on IEEE Geoscience and Remote Sensing, 28, pp. 98–107.
  • Macelloni, G., Paloscia, S., Pampaloni, P., Marliani, F. and Gai, M., 2001, The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 873–884.
  • Maltese, A., Cammalleri, C., Capodici, C., Ciraolo, G., Colletti, F., La Loggia, G. and Santangelo, T., 2011, Comparing actual evapotranspiration and plant water potential on a vineyard. In Proceedings of SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology Conference, 19–22 September 2011, Prague.
  • Mason, D.C., Speck, R., Devereux, B., Schumann, G.J.P., Neal, J.C. and Bates, P.D., 2010, Flood detection in urban areas using TerraSAR-X. Transaction on IEEE Geoscience and Remote Sensing, 48, pp. 882–894.
  • Meier, E., Frei, U. and Nuesch, D., 1993, Precise Terrain corrected geocoded images. In SAR Geocoding Data and Systems, G. Schreier (Ed.) (Berlin, Germany: Wichmann Verlag).
  • Moran, M.S., Hymer, D.C., Qi, J. and Sano, E., 2000, Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland. Agricultural and Forest Meteorology, 105, pp. 69–80.
  • Paloscia, S., Macelloni, G., Pampaloni, P. and Santi, E., 2004, The contribution of multitemporal SAR data in assessing hydrological parameters. Geoscience and Remote Sensing Letters, IEEE, 1, pp. 201–205.
  • Paloscia, S., Pampaloni, P., Pettinato, S. and Santi, E., 2008, A comparison of algorithms for retrieving soil moisture from ENVISAT/ASAR Images. IEEE Transactions on Geoscience and Remote Sensing, 46, pp. 3274–3284.
  • Paloscia, S., Pampaloni, P., Santi, E., Pettinato, S., Brogioni, M., Palchetti, E. and Crepaz, A., 2012, Comparison of COSMO-SkyMed and TerraSAR-X data for the retrieval of land hydrological parameters. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22–27 July 2012, Munich, pp. 510–5513.
  • Pettinato, S., Santi, E., Paloscia, S., Pampaloni, P. and Fontanelli, G., 2013, The intercomparison of X-Band SAR images from COSMO-SkyMed and TerraSAR-X satellites: case studies. Remote Sensing, 5, pp. 2928–2942.
  • Santi, E., Fontanelli, G., Montomoli, F., Brogioni, M., Macelloni, G., Paloscia, S., Pettinato, S. and Pampaloni, P., 2012, The retrieval and monitoring of vegetation parameters from COSMO-SkyMed images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22–27 July 2012, Munich, pp. 7031–7034.
  • Santi, E., Pettinato, S., Paloscia, S., Brogioni, M., Fontanelli, G., Pampaloni, P., Macelloni, G. and Montomoli, F., 2011, The potential of multi-temporal COSMO-Skymed SAR images in monitoring soil and vegetation. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 24–29 July 2011, Munich, pp. 1532–1535.
  • Shi, J., Wang, J., Hsu, A., O’Neill, P. and Engman, E.T., 1997, Estimation of bare surface soil moisture and surface roughness parameters using L-band SAR image data. Geoscience and Remote Sensing, IEEE Transactions, 35, pp. 1254–1266.
  • Ulaby, F.T., Moore, R.K. and Fung, A.K. (Ed.), 1986, Microwave Remote Sensing: Active and Passive, Vol. III – Volume Scattering and Emission Theory, Advanced Systems and Applications (Dedham, MA: Artech House, Inc).
  • Zadoks, J.C., Chang, T.T. and Konzak, C.F., 1974, A decimal code for the growth stages of cereals. Weed Research, 14, pp. 415–421.
  • Zribi, M., Chahbi, A., Lili, Z., Duchemin, B., Baghdadi, N., Amri, R. and Chehbouni, A., 2011, Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation. Hydrology and Earth System Sciences, 15, pp. 345–358.

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