Risks and hazards are two important issues currently threatening humanity and the environment. Flood has claimed many lives and destroyed properties in Malaysia and Africa and Nigeria. It is global catastrophe. The application of geospatial science is, therefore, very important advantages that it offers solutions to flood. This stud uses of Advanced Space-borne Thermal Emission and Reflection Radiometer Digital Elevation Model (ASTER-DEM), and the Soil Water Assessment Tool (SWAT) in visualizing floods disaster risk. The whole catchment area of Terengganu has been delineated. The 25 sub-basins have been identified and the flood risk zones have been modeled. The complete watersheds are characterized by different sub-basins and Hydrologic Respond Units (HRUs) which can be viewed in 3D environment.

The catchment area of Terengganu has to be flooding during the monsoon season. The reason is climate change that increases water flow in most of the rivers. The analysis using ArSWAT2012 has simulated the whole watershed and the result as proven to have about 25 different sub-basins. Each sub-basin has its peculiar characteristics of Hydrologic Response Units (HRUs). Base on the morphological classification, the river has accumulated a lot of sediments. The sediment yield and concentration has been analyzed from 1973- 2017 through simulation. The study compared the simulations and found out the slide differences in the sediment loads that come in and the sediment that goes out. The sediment concentration also varies with the temporal morphological changes of the Terengganu watershed especially the river mouth.

Recent technology use simulation to predict the amount and total crop production and yield in a particular piece of land. Crop yield is termed as the growth of crop per unit area. This study calculates the crop yield for 20 years and uses simulation to produce 18 years of crop yields at different locations in Nasarawa Local Government Area of Nasarawa State Nigeria. the study applies the use of time series analysis of both Linear, quadratic and growth curve models to ascertain the crop yield. The result indicates that there is a high amount of rainfall in the preceding year from 2020 -2038 with a rainfall trend of more than 2200mm- 2300mm per annum. The crop yield simulation shows a higher growth curve with a bumper harvest in the next years to come.

Malaria is considered to be a deadly disease spread in almost all parts of Nigeria, especially in the Northern parts. This has to do with the climatic influence of the north-easterlies and the hot dry savannah couple with the attitude of health sanitation. This study captured the vulnerable areas where the malaria cases are severe and predominant using satellite images and data. The frequency of malaria prevalence was done on a daily, monthly and annual basis for the period of 3 years from 2017-2019. The outcome shows that people in Minjibir and 5 villages were sampled having high malaria prevalence in 2017 with 41.28%, 2018 has 35.19% and 2019 has 23.53%. The result indicates that malaria cases are dropping with a decrease from 2017 to 2019 by 17.75%.