The introduction of mobile sensors such as NIMS has generated a variety of new research topics. Here, we demonstrate our ongoing work of iteratively sampling and reconstructing a two-dimensional field using mobile sensors. The sampling is conducted in multiple iterations. Each time, the field statistical model and current reconstructed field are utilized to select most desirable sampling points from a pool of sampling candidates.