Utilização de imagem do sensor Aster para discriminação espectral de rochas carbonáticas aflorantes na região Noroeste do Estado do Rio de Janeiro

Abstract

This work had as main objective to evaluate the potential of ASTER images using the region of shortwave infrared (SWIR), for spectral discrimination of carbonate rocks outcropping in the northwestern part of the State of Rio de Janeiro region, complementing existing products geological mapping . The carbonate rocks serve as raw material for cement production, which currently presents strong demand given the growth of civil works due to the expansion of the State of Rio de Janeiro's infrastructure. This growth in consumption offers challenges to production companies, making it vitally important to identify new areas for exploration of inputs for civil industry. In this sense, the carbonate has undergone great pressure with respect to its production as it is the main raw material used in cement production. Aster images sensor is being used in the field of geology successfully discriminating lithologies and minerals such as quartz, iron oxide and calcite. In the interval between waves from 2.235 to 2.285 m and 2.295 to 2.365 μm region, the bands 7 and 8 in the ASTER SWIR region are adequate for identifying minerals calcite and dolomite. As a methodology, techniques of reasons for separation of bands of limestones and dolomites and the spectral classification were applied, the SAM technique was used. Became as reference samples for the spectral classification of areas of outcropping carbonate rocks and spectra from the USGS spectral library. The spectral classifications obtained significant results in the spectral discrimination of the carbonate areas, however the techniques of reasons bands did not achieve sufficient results for the discrimination of limestones and dolomites. For future work is suggested to conduct fieldwork to collect spectra by spectroradiometry outcrops of carbonates