Using the NASA EOSDIS Common Metadata Repository

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  • Data Products for the Indian Remote Sensing Satellites

    The series of indian Remote sensing satellites like IRS-1A,IRS-1B,IRS-1C,IRS-1D,IRS-P4,IRS-P6,IRS-P5 with spatial resolution ranging from 360m to 2.5m and also with pancromatic and multispectral imaging capability,catering to the needs of the country in managing its natural resources. Today, IRS data is being used for a diverse range of applications such as crop acreage and production estimation of major crops, drought monitoring and assessment based on vegetation condition, flood risk zone mapping and flood damage assessment, hydro-geo-morphological maps for locating underground water resources, irrigation command area status monitoring, snowmelt run-off estimation, land use and land cover mapping, urban planning, biodiversity characterization, forest survey, wetland mapping, environmental impact analysis, mineral prospecting, coastal studies, integrated surveys for developing sustainable action plans and so on.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    SCIOPS Short Name: NRSC_IRS_LISS_PRODUCT Version ID: Not provided Unique ID: C1214591063-SCIOPS

  • Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005

    This data set provides land use and land cover (LULC) classification products at 100-m resolution for India at decadal intervals for 1985, 1995 and 2005. The data were derived from Landsat 4 and 5 Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Multispectral (MSS) data, India Remote Sensing satellites (IRS) Resourcesat Linear Imaging Self-Scanning Sensor-1 or III (LISS-I, LISS-III) data, ground truth surveys, and visual interpretation. The data were classified according to the International Geosphere-Biosphere Programme (IGBP) classification scheme.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 6.71 66.31 36.32 98.93

    ORNL_DAAC Short Name: Decadal_LULC_India_1336 Version ID: 1 Unique ID: C1322287366-ORNL_DAAC