The objective of this research is to proposed a semi-automatic method for mapping electric poles using the structure from motion technique or SFM. First an epipolar geometry for each image pair is estimated. Then the 3D structures are obtained using incremental SFM technique which will give us both 3D point cloud of the study area and camera parameters. Also vertical 2D lines are extracted from the input images. These 2D lines and the 3D structures are then integreated for estimating the positions of electric pole in 3D space. Finally these 3D electric poles are then geo-registered by estimating 3D rigid transformation from embeded coordinates in the input images.

The objective of this research was to study environment changes in orchards by using wireless sensor network and spatial data interpolation technique. The study was conducted by distributing several client sensors into the two study areas for recoding temperature himudity and light internsity. These data are send to a server using 433 MHz radio signal. The results from the first study area in Thachang District shew that the light intensities were significantly changed during 6:00-6:59 11:00-14:00 and 18:00-19:59. For the humidities they were significantly changed during 7:00-8:59 17:00-19:59 and 22:00-23:00 which were quite different from the changing of light intensity. Lastly the temperatures were mostly changed during 7:00-7:59 10:00-14:59 and 18:00-19:59 which were highly related to the changes of light intensity. For the second study area in Angkhiri District light intensities were significantly changed during 7:00-7:59 11:00-14:00 and 18:00-19:59 while the changing durations for the humidities were 9:00-9:59 12:00-15:00 and 17:00-19:59. Very similarly to the light intensity the temperatures were changed during 8:00-8:59 11:00-14:59 and 15:00-17:59. For the communiation distances the maximum distance for transfering data in an open area was 100 meter and 25 meters with obstables.