Ph.D. in Agronomy, South Dakota State University, Brookings, SD. 2002.
M.S. in Agronomy, South Dakota State University, Brookings, SD. 1997.
B.S. in Biology, Yon-sei University, Seoul, Korea, 1988.
Jiyul Chang was a postdoctoral fellow in Geographic Information Science Center of Excellence, South Dakota State University.
Dr. Chang worked with crop mapping (soybean, corn, and wheat) using MODIS images with Dr. Matt Hansen (NASA GLAM project). Identifying the specific crop acreages and the best timing for estimation are important for predicting crop productions on a global scale. MODIS images that cover global areas every two days give advantages of monitoring crop growth during growing seasons. Landsat images are used for sub-pixel training data.
For his master's and Ph.D. projects, Dr. Chang worked on precision agriculture projects that included (i) describing spatial and temporal variability of soil nutrients (NO3-N and P) and crop (corn and soybean) yields using spatial statistics, (ii) determining nutrient management zone boundaries for corn and soybean using GIS and remote sensing techniques, and (iii) developing crop yield prediction models using remote sensing data (aerial and satellite images) and multivariate analysis.
As a post-doctoral research associate, Dr. Chang worked with i) identifying weeds in soybean fields using spectral reflectance (NASA-EPSCoR), ii) cross-linking calibration of IKONOS and Landsat images for agricultural purpose (NASA-EPSCoR), iii) classifying QuickBird images for invasive vegetations in Great Lakes coastal wetlands (EPA), and iv) atmospheric correction for Landsat images.