ABSTRACT
This paper presents a lateritic soil features identification based on remote sensing and image processing techniques. The test area is located in São Paulo state, near Campinas town, where the soil is composed of high percentage of iron. Soil map (1:50,000) of this region as well as TM-LANDSAT image of dry period, when the soil surface is nearly exposed, were available. Digital image processing techniques such as restoration linear contrast, stretching, I H S transformation, color attribute and closing opening filter were applied aiming to extract lateritic soils. SPRING platform and LEGAL language are used to implement the methodology.
Key words:
soils; remote sensing; image processing; mathematical morphology