Detect Urban Poverty Pockets with Ultra Fine Beam Images
Carlos Gustavo Cotlier(1) and Diego Alejandro Germán López(1)
(1) Universidad Nacional de Rosario, Pellegrini 250 3º piso, 2000 - Rosario, Argentina
Pockets of Poverty or Slum Areas are in all big cities from the Argentine Republic (and neighboring countries). Their permanent growth due migration from the rural areas to big cities and from a persistence migration from neighboring countries seeking for better conditions of life wrongly fuelled by an Argentine economic program with a strong currency but very poor chances of jobs, increase daily all kind of migration of people trying to escape from a middle rural poverty gets inside to the violence and strong poverty from the big cities, so difficult to escape.
In the last year 2001-2002 poverty in Argentina was increased by a strong and exceptional economical recession, with national economic default, and an inverse process started: migration from neighboring countries returned home but millions of Argentine lower income working class got in “sudden poverty” (definition done by the World Bank in another economical crisis or strong recession for similar problems in another countries in Africa or Asia).
Information concerning big cities in countries like Argentina requires nearly continuous acquisition of data to formulate and monitor Governmental, Provinces and Municipalities programs against poverty and lack of social dwelling. These policies and programs might range from the social, economic, and cultural domain to the context of environmental and natural resource planning.
The role of planning agencies is becoming increasingly more complex and is extending to wider range of activities. Consequently, there is an increased need for these agencies to have timely, accurate, and cost effective sources data of poverty and potential violence areas. Several of these data need are well served by satellite image interpretation that can provide information concerning to urban Pockets of Poverty.
Is not usual to find urban Radar Fine Resolution satellite images researches with the help from optical images to help Municipalities and States to detect and monitor this problem with fast and relatively low cost information.
This project would be the continuation and deepening of the investigation done during the GlobeSar2 Program with the support of Radarsat and the CCRS (Canadian Center for Remote Sensing).
During the GlobeSar2 Program we got positive answers for the detection of Poverty Pockets) through the use of images Radarsat and Spot (panchromatic). It is our intention to use images Radarsat2 Ultra Fine Beam to get new ways to detect Urban Poverty Pockets with advanced technology which was not possible to get in 1997 when the GlobeSar2 Program was launched with images of Radarsat1.
We organized a Bi-national job between the two Latin American universities - Universidad Nacional de Rosario from Argentina, Universidade Federal do Paraná and Universidade Federal do Río Grande do Sul, both Brazil. With the AUGM auspice, Asociación de Universidades del Grupo Montevideo (Mercosur Governmental 18 Universities Union) we will work in the area of Rosario, Argentina, Curitiba and Porto Alegre, Brazil to detect, focus and monitor the Urban Poverty Pockets with the technology that has given good images Radarsat to analyze the outcome improvements with Radarsat2 images.