City planners often lack updated digital maps of existing buildings and structures. The Building Detection Model can automatically generate a basic map of buildings from satellite images. It uses semantic segmentation, which is the process of assigning each pixel in an image into a category; in this case, the categories are ‘building’ or ‘not building’. This allows planners to … [Read more...] about Urban machine learning model: automatic classification of buildings and structures
A smart city puts people at the center of development, incorporates information and communication technologies into urban management and uses these elements as tools to stimulate the design of a government that includes collaborative planning and citizen participation. By promoting integrated and sustainable development, smart cities become more innovative, competitive, attractive and resilient, thus improving lives. Learn more by reading our blog and downloading this publication.
In a roundtable on the most pressing challenges for our cities, a colleague challenged us with the following question: “Do you believe that cities can buy their sustainability?” Between stunned looks and expressions of disbelief, we could not reach a conclusion. The truth is that, as Latin America is one of the most urbanized regions of the world, every decision taken by a … [Read more...] about Smarter and More Sustainable Cities in Latin America? We Must Learn to Buy Better
While urban growth prediction models are not new, they have historically required significant resources in time, expertise, and calculations. That’s why we have developed this open code of urban growth prediction. The model automates this process, allowing urban planners to spatially extrapolate the growth of their city under different scenarios (e.g., future population size, … [Read more...] about Open code: urban growth prediction by analyzing satellite images
Considering the digital revolution, Latin American and Caribbean cities should be poised to generate, analyze, and disseminate urban data. Yet, all too often, our partners do not have the tools necessary for delivering urban services to informal areas, identifying and allocating lands best suited for development while protecting at-risk areas, and working with individual … [Read more...] about OpenStreetMap Extraction tool: generating neighborhood-level maps
Paper records are still quite common for field data collection in many housing agencies, where the infrastructure required to create, implement, manage and maintain survey data often includes paywalls or high levels of technical expertise. OpenMapKit solves one of the most immediate needs for government agencies to collect and manage data from the field, incorporating automatic … [Read more...] about OpenMapKit: create and systematize surveys in the field