Yong Ge

 

 

Prof. Yong Ge
Professor of geographical information science at the State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences.

 

Scaling methods for geoscience data

Abstract

Scaling is a fundamental research issue in the geosciences. Much geoscientific research suffers from a scale discrepancy between different data sources and models. Scaling hence plays an essential role in the comparison and integration of datasets and in the calibration and validation of environmental models. Various methods have been developped to transfer data and model state variables through spatial downscaling and upscaling techniques. However, most are appropriate only for homogeneity situations. Heterogeneity is inevitably present in most real-world situations. This talk focuses on scaling methods for land surface parameters under spatial heterogeneity. Land surface parameters considered are soil moisture, evapotranspiration (ET) and land cover/land use. We will build on our extensive expertise in this research area and develop and advance a methodological framework for ‘scale transformation’ under heterogeneity and validate the methodology with independent ground measurements.

 

Short Bio

Yong Ge is a full professor of geographical information science at the State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences. She is the deputy director of LREIS since 2016 and the director of department of cartography in IGSNRR.  Prof. Ge’s research interests broadly focus on the statistical aspects of spatial and spatio-temporal data. Her research topics range from spatial-temporal sampling, scaling, remote sensing image analysis and spatial data quality. Currently she is the associate editor of the Computers and Geosciences and the editor board member of Spatial Statistics, which places it at the Q1 of statistical journals. She is also the guest editor of various special issues of journals. Prof. Ge has authored more than 160 papers in the field of spatial statistics, spatial uncertainty and related fields. She holds eight granted patents in improving the accuracy of information extraction from spatial data.