Construction of Forestry Map Symbol Library and Symbolization Execution Based on MapGIS K9

In order to improve the cartography efficiency and the intelligent level of forestry map,we put forward the symbolization scheme of forestry map based on MapGIS K9 platform.Firstly,the symbol library of forestry map was constructed according to The Graphic Representation of Forestry Map which was issued by the National Forestry Bureau in October,2010.Then,the symbol configuration rule database was established to realize the expression of symbol configuration rule in the digital environment.Finally,the symbolization module was realized with the support of MapGIS Objects component development technology,and the thematic data of forestry were visualized according to the symbol configuration rule.The practice proved that the scheme could basically satisfy the cartography requirements of common forestry maps which included the forest management inventory map.

Development of a Web-Based GIS of Flood Zones in the Municipality of Ouagadougou in Burkina Faso

This document describes the creation of an informative Web GIS aimed at mitigating the impacts of flooding in the municipality of Ouagadougou, in Burkina Faso, a region that is highly sensitive to climate change. Burkina Faso, which is undergoing rapid urbanization, faces major natural threats, particularly flooding, as demonstrated by the severe floods of 2009 that caused loss of life, injury, structural damage and economic losses in Ouagadougou. The aim of this research is to develop a web map highlighting the municipality’s flood-prone areas, with a view to informing and raising awareness of flood risk reduction. Using the Leaflet JavaScript mapping library, the study uses HTML, CSS and JavaScript to implement web mapping technology. Data on Ouagadougou’s flood zones is generated by a multi-criteria analysis combining Saaty’s AHP method and GIS in QGIS, integrating seven (7) parameters including hydrography, altitude, slope, rainfall, soil types, land use and soil moisture index. QGIS processes and maps the themes, PostgreSQL with PostGIS serves as the DBMS and GeoServer functions as the map server. The Web GIS platform allows users to visualize the different flood risks, from very low to very high, or the high-risk areas specific to Ouagadougou. The AHP calculations classify the municipality into five flood vulnerability zones: very low (24.48%), low (27.93%), medium (23.01%), high (17.11%) and very high (7.47%). Effective risk management requires communication and awareness-raising. This online mapping application serves as a tool for communication, management and flood prevention in Ouagadougou, helping to mitigate flood-related natural disasters.