Chinese Soil Moisture Observation Network and Time Series Data Set for High Resolution Satellite Applications.

ABSTRACT: High-quality ground observation networks are an important basis for scientific research. Here, an automatic soil observation network for high-resolution satellite applications in China (SONTE-China) was established to measure both pixel- and multilayer-based soil moisture and temperature. SONTE-China is distributed across 17 field observation stations with a variety of ecosystems, covering both dry and wet zones. In this paper, the average root mean squared error (RMSE) of station-based soil moisture for well-characterized SONTE-China sites is 0.027 m³/m³ (0.014~0.057 m³/m³) following calibration for specific soil properties. The temporal and spatial characteristics of the observed soil moisture and temperature in SONTE-China conform to the geogr

SUBMITTER: Wang C 

PROVIDER: S-EPMC10314894 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature