The Feasibility Analysis the Digital Images of Unmanned Aerial Vehicle and Surface Soil Moisture.

In recent years, Remote Sensing Analysis has been able to apply to the research of climate change (Hollmann et al., 2013), environment monitoring, geology, hydro-meteorological (Western et al., 2002), and so on. However, in the past, Remote Sensing Analysis performs soil moisture estimates through shortwave, thermal infrared ray, or infrared satellite, it costs lots of resources, labor and money. Therefore, the database established in this research can save time and labor, which is spent on the soil moisture estimates.

We will use Unmanned Aerial Vehicle (UAV) to take aerial photographs of the soil surface; meanwhile, we will sample the surface soil. For each place sampling 7 sample, we follow the soil sampling method which refers to Council of Agriculture, Executive Yuan (Water Resources Agency, Ministry of Economic Affairs, Taiwan, 1967) to analyze the soil moisture(SM) of the fallow place. Then, we use the digital aerial photographs to perform the visible spectral analysis with ImageJ 1.48 (National Institutes of Health, NIH), analyzing the visible spectroscopy from it, and establish a database related to soil moisture and soil surface color. And assess the feasibility of this method.