M. Danesh - Department of Soil Science , Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
H. A. Bahrami - Department of Soil Science , Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
S. K. Alavipanah - Department of Remote Sensing and Cartography, Faculty of Geography, Tehran University, Tehran, Islamic Republic of Iran.
A. A. Noroozi - Soil Conservation and Watershed Management Research Institute, Tehran, Islamic Republic of Iran.

The geometric mean particle diameter (dg) and lime are two of the most important properties from the viewpoint of soil management. Nowadays remote sensing technology which has emerged walking with science development throughout the world, has made soil study faster, more facile and more cost-efficient. An investigation of soil dg and lime was performed in Pol-e-Dokhtar area by use of four sets of spectral data of IRS P۶, LISS III obtained from the Organizations of Geography of Armed Forces and Aerospace of Iran, in September ۷th ۲۰۰۷. Subsequently, Principle Component Analysis, Normalized Difference Vegetation Index, Soil Line Euclidean Distance and Unsupervised Classification was carried out for satellite data sets following image preprocessing operations. Through stratified randomized sampling method and according to the false color composite and photomorphic units of the main image, ۹۵ samples were selected and eventually collected from ۰-۵cm depth of soil surface, likewise ۴۳ samples from ۵-۲۰cm. Afterwards, dg and lime contents were determined for each sampled point in soil laboratory. By means of multivariate regression operations there were eventually shown pronounced relationships (P< ۰.۰۱) between soil dg and lime with green (R۲adj= ۰.۷۸) and NIR (R۲adj= ۰.۷۷) bands in the first sampling depth. In addition, this was true for the second sampling depth with green (R۲adj= ۰.۵۷), NIR (R۲adj= ۰.۵۵) and red (R۲adj= ۰.۵۹) bands with lower coefficients of determination. Consequently it has been substantiated with evidence that dg and lime contents are able to impress soil spectral reflectance. So it is possible to find out about these parameters using satellite and ancillary data.

Geometric mean particle diameter, Normalized Difference Vegetation Index, Principle Component Analysis, Remote Sensing Technology, Soil lime