land cover is one of basic data layers in geographic information system for physical planning and environmentalmonitoring. digital image classification is generally performed to produce land cover maps from remote sensing data,particularly for large areas. in the present study the multispectral image from irs liss-iii image along with ancillary datasuch as vegetation indices, principal componen...

land cover is one of basic data layers in geographic information system for physical planning and environmentalmonitoring. digital image classification is generally performed to produce land cover maps from remote sensing data,particularly for large areas. in the present study the multispectral image from irs liss-iii image along with ancillary datasuch as vegetation indices, principal componen...

Present study was carried out to delineate groundwater prospect zones and identification of artificial recharge sites using Indian remote sensing satellite (IRS) 1D PAN geocoded data on 1:12,500 scale and Survey of India (SOI) topographical sheets. The information based on lithology, geomorphology, soil, land-use/ land-cover, structures/lineament, slope, drainage and hydrology were generated an...

Spatial as well as spectral resolution has a very important role to play in water resource management. It was a challenge to explore the groundwater and rainwater harvesting sites in the Aravalli Quartzite-Granite-Pegmatite Precambrian terrain of Delhi, India. Use of only panchromatic sensor data of IRS-1D satellite with 5.8-meter spatial resolution has the potential to infer lineaments and fau...

In continuation of IRS-1C/1D mission, Resourcesat mission was planned for integrated land and water resource management. Resourcesat was launched on 17 October 2003. This satellite carries three multi-spectral cameras with variable swath and different spatial resolution. Data quality evaluation (DQE) system characterizes payload and platform performance and its impact on radiometric and geometr...

Remote sensing is a powerful tool for the regional mapping of natural resources. Satellite imagery has been demonstrated to be a cost effective method for classifying land use and land cover types throughout the world. This paper evaluates the potential of satellite remote sensing technology by presenting a case study for mapping ground coverage of Seabuckthorn plant, which grows in high altitu...

This paper presents multispectral texture analysis for classification based on a generalized cooccurrence matrix. Statistical and texture features have been obtained from the first order probability distribution and generalized cooccurrence matrix. The features along with the gray value of the selected pixels are fed into the neural network. Frist, Self Organizing Map (SOM) that is an unsupervi...

This paper describes the geometric accuracy testing of the IRS-1D and SPOT-4 images when combining together as stereo, over a test field in Zanjan province in the west part of Iran. For reconstruction of the image orientation we have used two different models: (i) a rigorous bundle adjustment program using an orbital parameters model and (ii) a generalized sensor model as rational function mode...