The severe erosion of upland peat bog in the southern Pennines is a major environmental problem that requires mapping and monitoring at regular intervals. This paper presents preliminary results from an investigation of the use of hyperspectral remotely sensed data to provide timely and accurate information on peat extent and type. Both image classification and correlation analysis between reflectance and peat characteristics were investigated, with promising images of both peat type and degree of humification produced. The results from this ongoing study suggest that hyperspectral remote sensing offers an efficient and valuable tool in mapping and monitoring upland habitats
