This study demonstrates the potentials of IRS P6 LISS-IV high-resolution multispectral sensor (IGFOV 6 m)-based estimation of biomass in the deciduous forests in the Western Ghats of Karnataka, India. Regression equations describing the relationship between IRS P6 LISS-IV data-based vegetation index (NDVI) and field measured leaf area index (ELAI) and estimated above-ground biomass (EAGB) were ...

The Uanium mineralization within the Vempalli dolomites of Cuddapah Super group in Mabbuchintalapalli, , Tummalapalli area falling in the Survey of India Toposheet No. 57 J/7. The Remote Sensing data obtained from IRS P6 LISS III imagery of both the areas is taken as reference for the Interpretation studies. The Remote Sensing data obtained from IRS P6 LISS III imagery of both the areas is take...

IRS-P6 spacecraft provides a unique opportunity of acquiring simultaneously multispectral (MS) data in three different spatial resolutions at 5.8 m, 23.5 m and 56 m, respectively, from LISS-4, LISS-3 and AWIFS sensors. Of these, spectral bands of the AWIFS (excepting the MIR band) have been designed to cover a 100% albedo, and with 10 bits per pixel to provide a good distribution of grey values...

This paper attempts to integrate satellite imagery such as Cartosat-1 with high spatial resolution and IRS P6 LISS IV with high spectral resolution using digital image fusion algorithms. This integration and mixing of hispectral and higher spatial data with complementary spectral and spatial characteristics, has proved to be promising to obtain images with high spatial and spectral resolution s...

Clustering is an unsupervised classification that aims to classify an image into homogeneous regions. We have proposed a hierarchical content based image clustering algorithm to automatically cluster the remote sensing satellite image. The performance evaluation of this algorithm is done with reference to the LISS 4 sensor imagery of IRS-P6 satellite. Centroid of the clusters is uniformly distr...