For many years, I had research experience developing mathematical models for processing the data from satellite sensors to monitor natural resources such as agricultural and disaster areas. For example, to monitor the air pollution in Thailand (PM2.5), the data from the Himawari satellite such as Aerosol Optical Depth (AOD) hourly processed in a mathematical model together with the relevant data, i.e., normalized difference vegetation index (NDVI), digital elevation model (DEM), relative humidity, and wind speed to estimate the PM2.5 in lack of ground measurement station. In addition to understanding such remote sensing technology, there is also have the ability to program automated processing systems using such Python and Java programming language. I developed a time series model to track the phenotype of economic crops such as sugar cane, cassava, and rice with private sectors using the geospatial web service technology.