The problem of this study was the status of higher education in Haiti. The purposes were to analyze the organization, administration, and contributions of higher education to national development from 1958 to 1988 and to provide background information from foreign literature which might assist in the improvement Haiti's system of higher education. In an effort to locate information necessary to achieve these purposes, a computer search was conducted. A survey of available literature in French, Creole, and English and personal and telephone interviews were also conducted. The results of this study reveal that, in the past three decades, higher education in Haiti has merely functioned as a symbol of social prestige. Haiti's system of higher education exhibits no apparent direction, purpose, of long-term goals. With more than 90 percent of its professors part-time and ill-prepared, its curriculum unrelated to the needs of Haitian society, and its student body in revolt for the past three years, higher education in Haiti is urgently in need of radical reform. Any contribution made to national development by the system of higher education is weak at best. The small but oppressive elite group that dominates the economic and political realms in Haiti has proved to …

When an earthquake happens, one of the most important tasks of disaster managers is to conduct damage assessment; this is mostly done from remotely sensed data. This study presents a new method for building detection and damage assessment using high-resolution satellite images and LiDAR data from Port-au-Prince, Haiti. A graph-cut method is used for building detection due to its advantages compared to traditional methods such as the Hough transform. Results of two methods are compared to understand how much our proposed technique is effective. Afterwards, sensitivity analysis is performed to show the effect of image resolution on the efficiency of our method. Results are in four groups. First: based on two criteria for sensitivity analysis, completeness and correctness, the more efficient method is graph-cut, and the final building mask layer is used for damage assessment. Next, building damage assessment is done using change detection technique from two images from period of before and after the earthquake. Third, to integrate LiDAR data and damage assessment, we showed there is a strong relationship between terrain roughness variables that are calculated using digital surface models. Finally, open street map and normalized digital surface model are used to detect possible road blockages. Results of …