Digital Heihe

WATER: Dataset of ground truth measurements synchronizing with Envisat ASAR in the Linze grassland foci experimental area on Jul. 11, 2008

The dataset of ground truth measurements synchronizing with Envisat ASAR was obtained in the Linze grassland foci experimental area on Jul. 11, 2008.

The data were in AP mode and VV/VH polarization combinations, and the overpass time was approximately at 11:26 BJT. Observations were carried out in the reed plot A, the saline plots B and C, the alfalfa plot D and the barley plot E, which were divided into 6×6 subsites, with each one spanning a 120×120 m2 plot. Soil gravimetric moisture, volumetric moisture, and soil bulk density after drying by using the cutting ring, the mean soil temperature from 0-5cm by the probe thermometer, and the canopy temperature and the land surface temperature by the hand-held infrared thermometer were measured in A, B and C; the soil temperature, soil moisture, the loss tangent, soil conductivity, the real part and the imaginary part of soil complex permittivity by the POGO soil sensor, the mean soil temperature from 0-5cm by the probe thermometer, the canopy temperature and the land surface temperature by the hand-held infrared thermometer in D and E.

Data were archived in Excel file. See WATER: Dataset of setting of the sampling plots and stripes in the foci experimental area of Linze station for more information.

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Ge, C., Wu, Y. (2013). < b>WATER: Dataset of ground truth measurements synchronizing with Envisat ASAR in the Linze grassland foci experimental area on Jul. 11, 2008</b>2013. doi: 10.3972/water973.0074.db. (Download the reference： RIS | Bibtex )

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References literature

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3.Ma, J., Song, X., Li, X., Leng, P., Li, S., Zhou, F., 2013. Estimation of surface soil moisture from ASAR dual-polarized data in the middle stream of the Heihe River Basin. Wuhan Univ. J. Nat. Sci. 18, 163–170. (View Details )

4.Wang Liangxu, Wang Shuguo, Ran Youhua. (2014), Data Sharing and Data Set Application of Watershed Allied Telemetry Experimental Research. IEEE Geoscience and Remote Sensing Letters, 11(11), 2020-2024. doi:10.1109/LGRS.2014.2319301 (View Details )

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