We investigated the relations between leaf-air temperature and photosynthetic ratio of cherry trees in order to obtain the fundamental data for applying the biological information to the remote sensing system. Some branches of Prunus jamasakura were cut and put into the water pot prompt once per month from May to October 2001. We measured the surface temperature of ten leaves and photosynthetic ratio every five second for ten minutes every measurement air temperature condition at 20, 25, 30 and 35°C with 1000 PAR light intensity. Result as, there was recognized the small significantly relation between leaf temperature and photosynthetic ratio because leaf temperature is usually changed with air temperature. Although, there was recognized large significantly correlations between the difference of the leaf temperature and air temperature and photosynthetic ratio. It is thought that transpiring in healthy plants are active for absorption of water and it cause to drop the leaf temperature. This research showed that the health of cherry trees could be diagnosed for measurement of the difference of leaf and air temperature.
The Japanese forestry industry has been significantly affected by the increase in low-price timber imports and a diminishing work force. This has had a direct impact on the level of maintenance of the coniferous forests. In this paper, we examine the development of local domestic energy supply schemes in conjunction with effective forest maintenance plans based on data from Landsat/TM imagery. We examined regions in which coniferous forests experienced various levels of blight and to investigated the introduction of energy supply systems using such forests. Both sound and blighted coniferous forests were examined and the characteristics of each area quantified. The supply of energy to a small town using a local blighted coniferous forest was examined. It is estimated that the use of existing wood burning technologies and an effective forest maintenance plan would result in the supply of power to 30% of the households in the town.
When we do aerial photography and an environmental research, a remote control helicopter (R/C helicopter) is excellent tool in the next point. For example, the cost of aerial photography and an environmental research work by R/C helicopter are low, also R/C helicopter pilot reservation fee are low price, and free from aviation law in Japan. But, R/C helicopter maneuvering and aerial photographing skills are necessary, and these are difficult to learn. Additionally, if the visibility of R/C helicopter is getting bad when it goes far away, operation is getting difficult. These problems are caused by the badness of autonomous stability on R/C helicopter system. In this study, we propose a new angle detection sensor for 3 axial rotations which is based on the development of the easy and safe steering system for the operation person.
Environment preservations of the forest become world-widely close-up. The remote sensing technologies by satellite have been used for observation of the forest. However, the observation system on the ground is also needed because the remote sensing by satellite is seriously hindered by atmospheric phenomena and detailed data are necessary for precise analysis of the state of forest. Therefore we developed a multispectral infrared camera system for plant healthiness monitoring. The infrared camera system has five infrared bandpass filters. A hue is defined from the five infrared images. We performed several experiments to confirm that the hue changes according as the plant healthiness decline. In this paper, we propose a plant healthiness evaluation method by detecting hue changes with time. Experimental results of observation of hue changes of a plant through a day using the multispectral infrared camera system are shown. The results show that hue in healthiness parts of plants are more stable than in weak parts when the circumambient conditions such as the sunshine condition are changed.
Environment preservations of the forest become world-widely close-up. The remote sensing technologies have been used for observation of the forest. However, the remote sensing by satellite is seriously hindered by atmospheric phenomena and cannot get the detailed data, which are necessary for precise analysis of the state of forest. So the observation system on the ground is needed. In this paper, we develop a multispectral infrared camera system to investigate the continuous spectra of mid-range infrared whose wavelengths cover around 3000nm to 5000nm. We define hue value in the case that the number of primary image is more than three. An algorithm to calculate the hue value from multispectral infrared images is proposed to obtain spectrum change of plants. An experiment of observation using the multispectral infrared camera system when the plant is growing week from cutting water off is shown.