Assessment of Heavy Metal Concentration in Soil Using Remotely Sensed Data

Abstract

Remote Sensing has been used nowadays for environmental monitoring as it offers a faster and less expensive way of monitoring the environment. With various activities conducted around the Tubay catchment (e.g., mining, agriculture), monitoring the quality of its soil by determining the heavy metal concentration (HMC) in soil, mainly its Lead (Pb) content, became the main objective of this study. Remote sensing technologies, together with field data, are used in this study to create a model that would predict the lead content of the soil in Tubay catchment through statistical analysis. The model created in this study is used in an ArcGIS software. It resulted to a model-predicted value of -263.993 ppm of Lead in minimum, and a model-predicted value of 308.482 ppm of Lead in maximum. Due to the soil test result, which yields a majority of Not Detected values, the model created in this study is not validated.