West Sumatra is one of has big geothermal energy resources potential. Remote sensing technology can have a role in geothermal exploration activity to measure the distribution of land surface temperatures (LST) and predict the geothermal potential area. Main study to obtain the assessment of Landsat 8 TIRS (Landsat`s Thermal Infrared Sensor) data capability for geothermal energy resources estimation. Mono-window algorithms were used to generate the LST maps. Data set was combined with a digital elevation model (DEM) to identify the potential geothermal energy based on the variation in surface temperature. The result that were derived from LST map of West Sumatra shows that ranged from -8.6 C 0 to 32.59 C 0 and the different temperatures are represented by a graduated pink to brown shading. A calculated result clearly identifies the hot areas in the dataset, which are brown in colour images. Lima Puluh Kota, Tanah Datar, Solok, and South Solok areas showed the high-temperature value (Brown) in the range of 28.1 C 0 to 32.59 C 0 color in images which means that they possess high potential for generating thermal energy. In contrast, the temperatures were lower (Pink) in the north-eastern areas and the range distribution was from -8.5 C 0 to 5 C 0 .
Crop-livestock integration is a future agricultural system that can increase the added value of farming while and being environmentally friendly. However, it is not widely used by oil palm farmers. Oil palm integration with cattle is expected to meet the demand for oil palm organic fertilizer and utilize palm fronds as animal feed. The objective of this research is to analyse the factors that influence farmers' decisions to implementing oil palm-cattle integration. A survey was conducted with 300 respondent who were chosen with purposive sampling with two categories: integrated farming and non-integrated farming. The logistic model was used to analyze adoption factors.The result shows that factors influencing the decision of farmers to adopt oil palmcattle integration are the time of involvement of household head in farming, extension services, income from oil palm, and the household's dependent ratio. Meanwhile, the factors that do not encourage farmers to adopt oil palm-cattle integration are formal education and involvement in farmer groups. The results observed several socioeconomic factors that can lead to the increase of the crop-livestock integration such as farmers still requiring good extension and training.
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