IRS-1C dataLISS-III dataIndian urban environmentimage segmentationimageryhomogeneity criterionGaussian maximum likelihood classificationThis paper presents results of segment based classification of an Indian urban environment. This approach to classification involved three stages. In the first stage, a region...
Somashekar, R.K., Ravikumar, P., Mohan Kumar, C.N., Prakash, K.L., Nagaraja,B.C., Burnt Area Mapping of Bandipur National Park, India using IRS 1C/1D LISS III Data, J. Indian Soc. Remote Sens. 37 (2009), 37-50Somashekar, R. K., Ravikumar, P., Kumar, C. M., Prakash...
Digital data of IRS-1C LISS-III sensor acquired on December 7, 1998 and April 6, 1999 were analyzed using digital image processing software-ERDAS Imagine 8.3.1. The surface waterlogged areas were delineated using modeling technique which is the most advanced and accurate method. Using the ...
Present study attempts to utilise the spatial information from IRS-IC LISS-III satellite data, through, tie use of Semivartogram apprqatfu for analyzing the overstorey. diversity In forest stands, Semivariance has been calculated for all the pixels in I5x15 pixel window for each of the forest...
K,Parvaiz,I.IRS-LISS-III and PAN Data Analysis for Landslide Sus-ceptibility Mapping Using Heuristic Approach in Active Tectonic Region of Himalaya. Journal of the Indian Soci-ety of Remote Sensing . 2009Patwary, M. A. A., Champati Ray, P. K., Parvaiz, I., 2009. IRS-LISS-III and...
AWiFS and LISS-III data has proven its efficacy to reveal the infor-mation of natural resources especially wheat crop identifica-tion at district and village level respectively.Suresh Band Goswami
A quantitative comparison of methods for classifying burned area with LISS-III imagery, International Journal of Remote Sensing, 26:1979-2003.Roman-Cuesta RM, Retana J, Gracia M, Rodriguez R. 2005. A quantitative comparison of methods for classifying burned area with LISS-III imagery. ...
and Sreenivas, K., Delineation of salt-affected and waterlogged areas in the Indo-Gangetic,plains using IRS-1C LISS-III data. Int. J.Remote Sensing,... AN Singh,RS Dwivedi - 《International Journal of Remote Sensing》 被引量: 67发表: 1989年 Integrating Remote Sensing and GIS Techniques wi...
Burnt area mapping of Bandipur National Park, India using IRS 1C/1D LISS III data The Bandipur National Park situated in the Western Ghats of Karnataka State, is one of the biodiversity hotspots of the world. During recent years, this pa... RK Somashekar,P Ravikumar,CNM Kumar,... - 《...
Performance testing of selected spectral indices in automated extraction of impervious built-up surface features using Resourcesat LISS-III image Article16 November 2020 A New Spectral Index for Extraction of Built-Up Area Using Landsat-8 Data