Kaliraj S, Chandrasekar N (2012b) Spectral recognition techniques and MLC of IRS P6 LISS III image for Coastal landforms extraction along South West Coast of Tamilnadu, India. Bonfring Int J Adv Image Process 2(3):01-07Kaliraj S, Chandrasekar N (2012b) Spectral recognition techniques and ...
The ResourceSat-1 Satellite (also called as IRS-P6) was launched into the polar sunsynchronous orbit on Oct 17, 2003. It carries three remote sensing sensors: the High Resolution Linear Imaging Self-Scanner (LISS-IV), Medium Resolution Linear Imaging Self-Scanner (LISS-III), and the Advanced...
IRS-P6 satelliteLahijanIn this study, the ability of LISSIII sensor data of IRS-P6 satellite to estimate species diversity of woody plant species of forest was studied in Gombol forests in Lahijan. Ground informations were collected through selective sampling with sample plots of 900 m2 area. ...
Trophic state index of a lake system using IRS (P6-LISS III) satellite imagery Water pollution has now become a major threat to the existence of living beings and water quality monitoring is an effective step towards the restoration o... AM Sheela,J Letha,S Joseph,... - 《Environmental Mo...
To complement and substitute data measured from other similar satellites and obtain constant measurements of the Earth's surface features, we evaluated the spectral characteristics between IRS-P6 LISS-III, a sensor of IRS P6, and EO- 1 ALI by comparing their top-of-atmosphere (TOA) reflectance ...
In the present study an attempt is made to study the Veligallu schist belt with the aid of multi sensor satellite data IRS P6 LISS III image No. 57j08 by using spectral analysis tool of ERDAS imagine software. Spectral features in the 0.4 - 2.5 m wavelength range of modern imaging serve...
Land cover classification using multi-source data fusion of ENVISAT-ASAR and IRS p6 LISS-III Satellite data: A case study over tropical most deciduous forested regions of Karnataka, India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science , Beijing, ...
The LISS III surface-reflectance estimates were found to be consistently lower than the Landsat estimates. The difference between the IRS P6 LISS III reflectances and the median Landsat 5 TM reflectances were approximately 20%, 22%, 12% and 3.5% for Landsat bands 2, 3, 4 and 5, ...
It uses the supervised classification technique applied on the LISS-III IRS-P6 data set. The accuracy of the classifier is calculated using the confusion matrix and Kappa value. It is observed that the accuracy of the classifier is 95.17% and Kappa value is 0.9289 which is very good.Mr. ...
IRS P6 LISS III datanatural resourceEarth wetlandsWetland is a kind of natural resource with fast dynamic changes. Around 50% of the earth's wetlands are estimated to have already disappeared worldwide over the last hundred years through conversion to industrial, agricultural, and residential ...