The paper introduces SPRING, a software system developed by the National Institute for Space Research (INPE) in Brazil to address the challenges of monitoring natural and human resources, particularly deforestation in the Amazon forest. SPRING integrates remote sensing and GIS technology, aiming to create a seamless geographical database capable of handling large volumes of data without limitations in tiling schemes, scale, or projection. The system supports both raster and vector data geometries and integrates remote sensing data into a GIS, offering functionalities for image processing, digital terrain modeling, spatial analysis, and database query and manipulation. The paper outlines the design objectives of SPRING, including full scalability, ease of use, and a powerful environment combining menu-driven applications and a spatial algebra language. It discusses the object-oriented data model used in SPRING, which distinguishes between fields and objects, and the LEGAL query and manipulation language, which supports various spatial operations and transformations. The system's functionality is detailed, covering user interface design, spatial database management, data entry, image processing, geographical analysis, and map composition. SPRING is developed using C++ and is compatible with UNIX, OS/2, and Windows platforms. The project has been ongoing since 1991, with the second version scheduled for release in April 1996, and has involved significant contributions from INPE, IBM Rio, and EMBRAPA.The paper introduces SPRING, a software system developed by the National Institute for Space Research (INPE) in Brazil to address the challenges of monitoring natural and human resources, particularly deforestation in the Amazon forest. SPRING integrates remote sensing and GIS technology, aiming to create a seamless geographical database capable of handling large volumes of data without limitations in tiling schemes, scale, or projection. The system supports both raster and vector data geometries and integrates remote sensing data into a GIS, offering functionalities for image processing, digital terrain modeling, spatial analysis, and database query and manipulation. The paper outlines the design objectives of SPRING, including full scalability, ease of use, and a powerful environment combining menu-driven applications and a spatial algebra language. It discusses the object-oriented data model used in SPRING, which distinguishes between fields and objects, and the LEGAL query and manipulation language, which supports various spatial operations and transformations. The system's functionality is detailed, covering user interface design, spatial database management, data entry, image processing, geographical analysis, and map composition. SPRING is developed using C++ and is compatible with UNIX, OS/2, and Windows platforms. The project has been ongoing since 1991, with the second version scheduled for release in April 1996, and has involved significant contributions from INPE, IBM Rio, and EMBRAPA.