Detecting soil information in a predominantly black soil region using Indian remote sensing satellite (IRS-1B) linear imaging self-scanning sensor (LISS-II) data

Spaceborne multispectral data have been operationally used for deriving inf ormation on soil resources since the early 1970s. In this study an attempt has been made to evaluate the potential of the Indian Remote Sensing Satell ite (IRS-1B) Linear Imaging Self-scanning Sensor (LISS-II) data for mapping soil resources in part of northern India through a systematic monoscopic v isual interpretation approach. Soils were classified up to series level. A strong correlation between the image elements and different categories of b lack soils has been observed, indicating thereby the potential of such data for providing reliable information on soils in the black soil region.