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

Citation
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
Citations number
21
Categorie Soggetti
Earth Sciences
Journal title
INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN journal
01431161 → ACNP
Volume
21
Issue
17
Year of publication
2000
Pages
3293 - 3302
Database
ISI
SICI code
0143-1161(200011)21:17<3293:DSIIAP>2.0.ZU;2-R
Abstract
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.