Detecting soil information in a predominantly black soil region using Indian remote sensing satellite (IRS-1B) linear imaging self-scanning sensor (LISS-II) data
Rs. Dwivedi et al., Detecting soil information in a predominantly black soil region using Indian remote sensing satellite (IRS-1B) linear imaging self-scanning sensor (LISS-II) data, INT J REMOT, 21(17), 2000, pp. 3293-3302
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.