The discontinuity and roughness properties of the rocks can be used to obtain information on surface characterization. In this study, it was investigated whether the discontinuity and roughness properties of the rock structure are related to the temperature of the surface. Selected object which is located at Istanbul Technical University Ayazaga Campus has approximately dimensions of 3 m x 1 m. The discontinuity regions on the object and the areas which are rougher than their surroundings are clearly identifiable by visual interpretation. 3D model of rock surface was produced by integrating photographs and 12 control points which were homogeneously distributed on the object in order to reflect the surface realistically. The temperature of the control points marked on the surface were measured by using an infrared thermometer with non-contact measuring capability. These values were used as the basic data to show the temperature distribution over the entire surface. Temperature distribution map with 6 classes representing the temperature range was produced by using IDW interpolation method in a commercial GIS software. The temperature distribution map was overlapped on the 3D object model produced by means of RGB photographs for comparison with the 3D model produced by the thermal images of the same surface. The temperature distribution in the discontinuity regions that can be clearly seen as rough was examined and obtained results proved that there is a strong relationship between roughness and temperature of the rock surfaces.

Climatic parameters need to be measured and necessary arrangements should be made according to these observations in order to be suitable for greenhouse climatic conditions in agricultural production. In agricultural production, it is important to know the temporal change of climatic values belonging to different locations of the greenhouse in order to ensure the comfort of plant growing environment. Today, the use of sensors determining various climatic parameters is becoming widespread. The design of the sensor system to include battery and wireless communication technology makes it easier to position the sensor in the desired position in the greenhouse. In this study, it was tried to determine the daily battery consumption of Silicon Labs Si7021 sensors used to determine temperature and humidity values in a greenhouse according to temperature and humidity values. In this study, 18 sensors were used and placed in different locations in the greenhouse. Temperature, relative humidity and sensor battery voltage measurements were carried out for twelve months between 2016-2017 in five minute intervals. From these values, daily average temperature, relative humidity and battery voltage changes were determined. Data were tested by ANOVA, regression and correlation analyzes. According to the results, it was investigated whether there was a significant relationship between the daily battery level change in the sensors used and the daily average temperature and humidity values. It is concluded that there is no strong relationship to create regression model between daily battery voltage change and two environmental parameters for all sensors.