Integrating Multispectral Indices and Satellite Sensors for Sustainable Management in Brazil

In Brazil, the use of spectral indices derived from orbital sensors is essential for monitoring strategic ecosystems, especially in the Amazon and the Cerrado. In the Amazon, for example, NDWI (Normalized Difference Water Index) and MNDWI (Modified NDWI) can be applied to identify flooded areas, map watercourses, and monitor seasonal changes in the hydrological regime, supporting resource management and flood control. NDMI, in turn, can be used to assess vegetation moisture, allowing the detection of drought events and forest degradation. Another example is NDVI (Normalized Difference Vegetation Index), which is applied to monitor vegetation cover health and density, being crucial for identifying deforestation and vegetation regeneration. In the Cerrado biome, these indices help map agricultural expansion, the degradation of native vegetation areas, and the effects of fires. The combination of Landsat, Sentinel-2, and MODIS sensors enables multitemporal and multiscale analyses, integrating high spatial resolution with high temporal frequency. These data guide public policies, enforcement, and conservation projects, supporting environmental agencies, researchers, and non-governmental organizations in the development of sustainable land-use strategies and the preservation of Brazil’s water resources and biodiversity.