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Estimating Root Zone Moisture from Surface Soil Using Limited Data
2017
Ecological Chemistry and Engineering S-Chemia I Inzynieria Ekologiczna S
For estimation of root-zone moisture content from EO-1/Hyperion imagery, surface soil moisture was first predicted by hyperspectral reflectance data using partial least square regression (PLSR) analysis. The textures of more than 300 soil samples extracted from a 900 m × 900 m field site located within the Hetao Irrigation District in China were used to parameterize the HYDRUS-1D numerical model. The study area was spatially discretized into 18,000 compartments (30 m × 30 m × 0.02 m), and Monte
doi:10.1515/eces-2017-0033
fatcat:ezd7dypbxfcqrhtorwtewxefdq