The PIMAR Project
The Integrated Program for Remote Monitoring of Forest Fragments and Urban Growth (in Portuguese, PIMAR) is a NIMA’s project that integrates Geography, Electrical engineering, Design, Law and Social Service. The program’s objective is to protect forested areas through the development of a monitoring system via satellites of Rio de Janeiro Municipality slopes. It will be possible to identify the urban horizontal and vertical expansion over the Atlantic Forest, that is the most affected biome by anthropic pressures.
For such, the programs relies on a partnership with the State Environmental Secretary (in Portuguese, SEA), and with the National Institute of Spatial Research (in Portuguese, INPE), responsible for monitoring the Amazon biome. The project has began ten years ago, in a agreement with PUC-Rio’s Geography Dept. and the Freiburg University’s Forest Institute, in Germany. Three years after the beginning of this agreement PUC-Rio’s Electrical Engineering Dept. and the Hannover University. From then on, many academic works and research has been done, consolidating the pilot project. To give technical and technological support to new research two new laboratories have been created: the Geoprocessing Lab (Lab-GIS) and the Computational Vision (LVC).
In December 2008, PUC has settle an agreement with the State Environment Secretary (SEA) to monitor the city’s Atlantic Forest. The Forest fragments will be identified utilizing a software with high definition satellite images. In this way, the environmental inspection organs of Rio de Janeiro may monitor the irregular occupation and the retraction situation of their forests. The PIMAR will offer a efficient monitoring system to be replied in other Municipalities, contributing to the brazilian Atlantic Forest preservation. PUC, with its scientific excellence in the automatic images classification pretends to, with its new partnerships, to guarantee the regular monitoring of Rio de Janeiro’s massifs – Pedra branca Massif and Tijuca Massif and to provide acces of the obtained data to the whole population through its website.