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The study examined Land Surface Temperature (LST) and Land Surface Emissivity (LSE) in a tropical coastal city of Port Harcourt and its environs. Satellite remote sensing of multiple-wavelength origin was employed to derive data from the Landsat Enhance Thematic Mapper (ETM+). Statistical mean and range were used to show pattern of LST and LSE. The study established the relationship and characteristics of land use land cover, built-up area and influence of population on land surfaces. With population of over 3,095,342 persons occupying surface area of approximately 458,28 Km2, rapid vegetal and water body lost have put the city area under pressure of 4.7°C heat bias at the interval of 15 years. From rural fringes to the city center, LST varies with 9.3°C in wet season and 4.8°C in the dry season. During the dry season, LSE is severe in the southern part of the city contributed by water bodies, more vegetal cover and urban pavement materials. Emissivity in the wet season varied with 0.0136 and 0.0006 during the dry season but differs with 0.0165 between the two seasons. One critical finding is that LSE decreases from the rural fringes to the city center and LST increases from the rural fringes to the city center. It is recommended that urban greening at the city center should be practiced and the rural fringes should be explored by decongesting activities at the city center to the outskirts in order to ameliorate the effects of urban heat bias without further delay.

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This research explores population variability and heat bias prediction in a tropical country, Nigeria from 2006 to 2036. Data were generated from the projections of the National Population Commission (NPC) using the population mathematical model for heat bias data.  With national population growth rate of 2.67%, Nigeria recorded heat bias of 60C in 2016, 6.1oC in 2026 and 6.20C in 2036 as well as 0.10C decadal variation indicating that it has exceeded the 0.5-0.250C standard comfort threshold. The analytical results show that there is a positive association between population density and heat bias across the states of Nigeria with greater effects in states such as Lagos, Anambra, Imo, Abia, Akwa Ibom Ekiti, Rivers, Osun and Ebonyi due to the high concentration of people in their limited land mass. And more of the eastern states of Nigeria will have much effect of the heat bias due to their high population density. It shows that land mass does not have any association with heat bias and will likely be influenced by land modification and atmospheric characteristics. Heat wave could result to death of people; therefore, national planners should implement environmental, health and land-use management strategies with immediate action in order to make Nigeria a safe place to live.

Communicating climate change occurrence in Ogba Egbema Ndoni Local Government Area of Rivers State was the key interest of this study due to the incessant environmental degradation caused by multinational oil and gas companies in the area. This study used multi-stage cluster sampling technique and administered four hundred (400) questionnaires in a study population of 445,760 persons determined by Taro Yamane statistical technique. The findings revealed that the stakeholders felt that climate change really occurred in the area but had not adequately adapted to the impact of climate change with 69.3% showing poor preparedness to climate change adaptation. The radio, television and town-hall meeting were the most effective media of climate change communication, but social media such as WhatsApp, Facebook, Twitter, Instagram, Telegram et cetera were poorly used to communicate climate change phenomenon. Thus, the indigenous town-crying communication medium showed 95% response of disagreement of not being used to inform the stakeholders of climate change occurrence. However, 68% response revealed that the government was not concerned with climate change communication in the area, rather, Non-governmental Organizations (NGOs), Community Based Organizations (CBOs) and the host companies relatively showed concerned in communicating climate change occurrence to the stakeholders.  The result indicated that the level of climate change occurrence did not statistically significantly relate with climate change communication in the area. Thus, it was recommended that community stakeholders should have access to weather information, agricultural extension services, educational and school curriculums should integrate climate change communication, indigenous knowledge and communication media should be used as well as government should be serious with issues of climate change communication so as to cushion the effects of climate change impact in Ogba Egbema Ndoni Local Government Area of Rivers State, Nigeria.