Zhejiang, 86
China
Zhejiang Normal University
Sparse observation networks, Pixel scale ground "truth", Satellite product, Error correction, Spatial extension model, upscaling
Arid region, Brackish lake, Suspended particulate matter, water quality, Driving factors, Structrural equation modeling
Soil moisture, uncertainty, pixel-scale reference "truth", representativeness errors, geolocation mismatches errors
Soil moisture, Uncertainty, pixel-scale reference "truth", ground observations;representativeness errors, geolocation mismatches errors
ecosystem service, spatial equity, gini index, scale effect, Geodetector
soil moisture, upscaling, representativeness error, sparse observation network, automated machine learning (AutoML), adaptive regression
Soil moisture, representativeness error, point-to-pixel upscaling, sparse in situ observations, pixel-scale reference estimation, spatial heterogeneity