Soil Moisture Inversion in Grassland Ecosystem Using Remote Sensing Considering Different Grazing Intensities and Growing Seasons

Although vegetation community information such as grazing gradient, biomass, and density have been well characterized in typical grassland communities with Stipa grandis Leymus chinensis dominant species, their impact on the soil moisture (SM) inversion is still unclear. This study investigated characteristics of a at different gradients growing seasons its SM using remote sensing data. The water cloud model (WCM) was used for inversion, both field data collected from 2019 to 2021 were calibration prediction. found that calibrated WCM achieved prediction results average R2 values 0.41 0.38 seasons, respectively. Vegetation biomass height significantly correlated indexes, highest accuracy around 121.1 g/m2 [102.3–139.9] 18.6 cm [17.3–19.8], Generally, NDWI1 produced higher estimation than NDWI2. season also affects retrieve SM, mid-growing I. Therefore, developed optimal can enhance capacity; it thus be potentially grasslands.