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Author Regional, Technique
Source CiteSeerX
Content type Text
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Modis Data ♦ Superspectral Data ♦ Significant Land Cover ♦ Multi-temporal Irs Awifs Data ♦ Large Geographical Extent ♦ Irs-1c Liss-iii Iv ♦ Day Composite ♦ Lc Mapping ♦ Multispectral Data ♦ Urban Sprawl ♦ Commercial Sensor ♦ Modis Sensor ♦ Last Decade ♦ National Level ♦ Spectral Information ♦ Modis Pixel ♦ Limited Spatial Coverage ♦ Landsat-tm Etm ♦ Up-to-date Lc Map ♦ Seasonal Lc Mapping ♦ Adequate Spatial Resolution
Abstract Abstract—Over the last few decades, there has been a significant land cover (LC) change across the globe due to the increasing demand of the burgeoning population and urban sprawl. In order to take account of the change, there is a need for accurate and up-to-date LC maps. Mapping and monitoring of LC in India is being carried out at national level using multi-temporal IRS AWiFS data. Multispectral data such as IKONOS, Landsat-TM/ETM+, IRS-1C/D LISS-III/IV, AWiFS and SPOT-5, etc. have adequate spatial resolution ( ~ 1m to 56m) for LC mapping to generate 1:50,000 maps. However, for developing countries and those with large geographical extent, seasonal LC mapping is prohibitive with data from commercial sensors of limited spatial coverage. Superspectral data from the MODIS sensor are freely available, have better temporal (8 day composites) and spectral information. MODIS pixels typically contain a mixture of various
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study