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Investment into a renewable energy project spurs the need to investigate sites with potential for a renewable energy source. Such a crucial investigation is the main motivation for this study, which uses a geospatial technology to evaluate wind energy potential within the southeast (SE) and south-south (SS) regions of Nigeria. A multi-criteria decision analysis (MCDA) model was implemented using Landsat TM images at bands 2, 3 and 4, and integrated with NASA global wind speed data, airport location map and forest reserve map of the area. The criteria for generation of wind energy potential map were wind speed ≥ 3m/s, 2000m buffer from built-up areas, 2,500m buffer from airports and outside the forest reserve. The results indicate the presence of a reasonable amount of potential for wind energy, which lies mostly in the southernmost part of the study area. The total potential area is about 104,700 hectares in land size, which is merely 1.2% of the total study area, although River state encloses most of the potential locations. When compared to global vortex wind data, by visual inspection, these potential areas show a great deal of sensitivity to wind speed, highlighting its critical importance in the present modelling. Wind farms can be located in this area, although it is a rather small-scale investment in a renewable energy resource considering that the consumable amount of energy in the study area is in a steady increase. Stakeholders and experts in energy economy will find that the need to protect this potential energy location from indiscriminate urban development and other anthropogenic activities is compelling.

The creation of an information system for various facilities is crucial as it is a vital instrument for effective urban management, especially in the areas of monitoring the state of such facilities to ensure adequate maintenance, ease of access, etc. This paper focuses on how remote sensing and other modern techniques can aid in developing a buildings' information system (BIS) for the University of Nigeria Enugu Campus. It comprised mapping the university environment, particularly the buildings within its boundary as well as developing a database containing the attributes of these buildings. Satellite images of the campus were downloaded and a map of buildings in the campus was developed through geo-referencing and digitizing. A database for the attribute information related to these buildings was also developed and finally the database was linked to the map. This project was carried out using application packages such as Microsoft Excel, QGIS 2.4.0, PostgreSQL 9.3.1, and a Hand-held global positioning system (GPS) receiver for ground-truthing. It is recommended that the accurate identification of buildings in the campus, especially in the residential quarters be improved by placement of number tags as this was a challenge encountered during the course of this project. Beyond this project, it is also of great essence to develop an information system for all other utilities on campus so as to achieve a harmonized and complete information system inventory for the university as it will greatly aid the management and maintenance of these utilities.