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- W1690943504 abstract "The study aimed at documenting the effective ERS-1 capabilities to monitor maize growth using field and SAR measurements over a large area (6000 m2). During the summer 1995, a first ground campaign was carried out to determine the row orientation and the relief of 555 fields. Secondly, bio- and geophysical parameters such as fresh and dry biomass, plant height and soil moisture were measured on 75 fields simultaneously to SAR image acquisitions. In total, 12 ERS-I products were acquired. The results show that no specific maize crop temporal backscattering signature can be determined and that the soil moisture still influences the backscattering when the crop has reached is maximum height. However, the temporal evolution of the averaged field variation coefficient revealed the effect of the vegetation. A stratification approach was thus used to account for the soil moisture and to determine the crop parameters effect on the signal. A correlation coefficient of 0.9 between the σ° (dB) and the dry matter quantity per ha was obtained on fields larger than 2 ha. Finally, the row orientation was shown to have an influence on the attenuation by the canopy. These findings lead to the development of a water cloud model formulation dedicated to crops with a row-tructured canopy." @default.
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- W1690943504 date "1997-01-01" @default.
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- W1690943504 title "ERS SAR time series analysis for maize monitoring using experimental and modeling approaches" @default.
- W1690943504 hasPublicationYear "1997" @default.
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