Remote Sensing: Digital Image Analysis
Remote Sensing: Digital Image Analysis
Mapping recent deforestation in the Brazilian Amazon using simulated L-band MAPSAR images
International Journal of Remote Sensing
Hi-index | 0.00 |
L-band images simulating MAPSAR satellite sensor data were used to identify Cu-mineralized rock alteration products in the Curaçá Valley, Brazil. The area is characterized by a semi-arid terrain, with residual soils and xerophytic vegetation. The mineralizations are mainly associated with pyroxenites but are also found in norites, gabbro-norites, and anorthosites. These mafic-ultramafic rocks produce characteristic Vertisols. A quantitative analysis for the rock discrimination was based on JM distances derived from training samples (amplitude values of L-HH, L-VV, and L-HV). The investigation showed the possibility of the discrimination of ore-bearing intrusives from the host rocks, with the exception of amphibolite. Variations in the surface moisture affected the SAR responses, prior to the data acquisition, and caused the higher returns created by wet Vertisols, favouring the discrimination of the rock alteration products.