10 datasets found
  1. n

    _06jan22

    • bhuvan-suvidha1.nrsc.gov.in
    Updated Feb 1, 2022
    + more versions
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    https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/ (2022). _06jan22 [Dataset]. https://bhuvan-suvidha1.nrsc.gov.in/layers/geonode%3A_06jan22
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    Dataset updated
    Feb 1, 2022
    Authors
    https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/
    Description

    No abstract provided

  2. W

    India/Bihar Land Cover

    • cloud.csiss.gmu.edu
    Updated Feb 1, 2017
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    The citation is currently not available for this dataset.
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    Dataset updated
    Feb 1, 2017
    Dataset provided by
    default
    Area covered
    Bihar, India
    Description

    India Bihar Land Cover, see http://bhuvan.nrsc.gov.in for more deitails.

  3. N

    Geomorphology - Bhuvan

    • nwdp.nwic.in
    html
    Updated Feb 19, 2025
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    NRSC (2025). Geomorphology - Bhuvan [Dataset]. https://nwdp.nwic.in/dataset/geomorphology-NRSC
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    htmlAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    NRSC
    Description

    Geomorphology on Nrsc, the Indian Geo-Platform of ISRO, provides thematic datasets related to the landform features of India. Geomorphology datasets on Bhuvan are derived from satellite imagery and other remote sensing techniques, offering valuable insights into the physical characteristics of the Earth's surface.

  4. g

    Department of Space, Indian Space Research Organization, National Remote...

    • gimi9.com
    Updated Jan 5, 2015
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    (2015). Department of Space, Indian Space Research Organization, National Remote Sensing Centre - Bhuvan Geoportal of NRSC/ISRO | gimi9.com [Dataset]. https://gimi9.com/dataset/in_bhuvan-geoportal-nrscisro/
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    Dataset updated
    Jan 5, 2015
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Bhuvan is an online geoportal, that was released in 2009, which initially focused on image and map visualisation services but has diversified over a period of time. However, the versatility and diverse applications on Bhuvan platform have grown over a period of time. This has resulted in dramatic increase in its user base, services and outreach. There are more than 20,000 unique visitors every month, about 2.5 GB of data transfer occurs every day, and about 2,60,000 products downloads so far. In persuit of improving the spatial resolution of the satellite data product, Bhuvan could deploy IRS data at 2.5 m for the entire country and at the same time introduced 1 m natural color images for around 200 cities. Bhuvan is known for its frequent updates and App releases, Bhuvan saw more than 57 new releases during 2013-14 alone. This platform provides versatile viewing capabilities, such as, 2D, 2.5D, 3D and photo-realistic textured pictures draped on the image-based footprint to provide a unique viewing/ animation capabilities on the fly.

  5. m

    Merged SAR and Optical

    • data.mendeley.com
    Updated Nov 23, 2023
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    prabhakar kallempudi (2023). Merged SAR and Optical [Dataset]. http://doi.org/10.17632/rs86jtwfn9.2
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    Dataset updated
    Nov 23, 2023
    Authors
    prabhakar kallempudi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The map package files (merged.mpk) were prepared and can be opened by Arc Gis 10.8.2 and above versions. The map package data files include the SAR data (RISAT-1 from ISRO-Bhoonidhi) in HH,HV- polarizations, DEM ( USGS ) and IRS LISS III (Bhuvan-NRSC) data with the 30m spatial resolution were downloaded from the respective websites. Geology data in 1:50,000 scale is downloaded from GSI Bhukosh. The resolution merged data of Optical and SAR data has been prepared using Brovey transform in ERDAS 2015 software. The output file have advantages of both optical and microwave features. Extracted the Lineaments(.shp) from the coupled data of merged SAR and improved and verified with the DEM, Optical, SAR and Geology data sets. All these data generation and Statistical calculation done with the help of ArcGIS software. ArcGIS guide will help to create shape files, Attribute table calculations of length, classification. Azumutal trend calculations of each lineaments done using Split lines and other geometric calculations giving the trend of each lineament and finally export the map (All .jpg files). Rose diagrams was prepared based on the trend of lineaments with the help of Rockworks 17 software. The generated Azimuthal trend data in lineament shape file can be import to linears - utilites - Rose diagram. I was prepared Rose diagram of different class of lineaments using frequency calculation method. Lineaments are the linear geological features can extend from few meters to hundreds of kms. Geologically lineaments are either structural or stratigraphical, typically it will comprise fault, fold axis, bedding contacts, dyke intrusions, shear zone or a straight coast line. Mapping lineaments using remote sensing is economical, faster can act as a preliminary study. Generally lineaments have been mapped using the optical remote sensing data such as Landsat, Resourcesat etc. For India, Lineaments were mapped using the LISS III and LISS IV of Resourcesat-1 & 2 at a scale of 1:50k. However in tropical region like India, limited exposure of ground due to vegetation cover, lineaments may go unnoticed in optical remote sensing data. This problem can be overcome by Synthetic Aperture Radar (SAR) data, which can penetrate ground significantly. With the launch of RISAT-1satelite, data availability of SAR data is immense for Indian region. Aim of this study to explore the SAR data and merged SAR and optical data for lineament mapping.

  6. n

    _01_06jan22

    • bhuvan-suvidha1.nrsc.gov.in
    Updated Jan 27, 2022
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    https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/ (2022). _01_06jan22 [Dataset]. https://bhuvan-suvidha1.nrsc.gov.in/layers/geonode%3A_01_06jan22
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    Dataset updated
    Jan 27, 2022
    Authors
    https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/
    Description

    No abstract provided

  7. g

    Department of Space, Indian Space Research Organization, National Remote...

    • gimi9.com
    Updated May 10, 2025
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    (2025). Department of Space, Indian Space Research Organization, National Remote Sensing Centre - Vegetation Fraction derived from Oceansat-2 Ocean Color Monitor (OCM) [Dataset]. https://gimi9.com/dataset/in_vegetation-fraction-derived-oceansat-2-ocean-color-monitor-ocm/
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    Dataset updated
    May 10, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Vegetation Fraction (VF) is defined as the percentage or fraction of occupation of vegetation canopy in a given ground area in vertical projection. It is popularly treated as a comprehensive quantitative index in forest management and vegetation communities to monitor respective land cover conditions. This data is derived from Oceansat-2 OCM which operates in eight spectral bands in VNIR bands with 1Km spatial resolution and swath of 1420 kms. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Vegetation Fraction data of user selected aeras.

  8. g

    Department of Space, Indian Space Research Organization, National Remote...

    • gimi9.com
    Updated May 10, 2025
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    (2025). Department of Space, Indian Space Research Organization, National Remote Sensing Centre - Ocean Wind Stress [Dataset]. https://gimi9.com/dataset/in_ocean-wind-stress/
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    Dataset updated
    May 10, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Wind stress is defined as the tangential (drag) force per unit area exerted on the surface of the ocean by the adjacent layer of moving air. Wind stress is the most important forcing parameter in the upper ocean circulation. OSCAT Daily Wind Stress Composites have been generated using DIVA generated daily wind field composites. For wind stress computation, Large and Pond (1981) drag coefficients, modified by Trenberth et al. 1990, are used. These products are available on daily basis. The output products consist of zonal and meridional wind stress components. Further details have been provided in the technical document. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Ocean Wind Stress data of user selected aeras.

  9. g

    Department of Space, Indian Space Research Organization, National Remote...

    • gimi9.com
    Updated May 10, 2025
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    (2025). Department of Space, Indian Space Research Organization, National Remote Sensing Centre - Ocean Wind Velocity | gimi9.com [Dataset]. https://gimi9.com/dataset/in_ocean-wind-velocity/
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    Dataset updated
    May 10, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Surface winds over oceans are required for several operational, oceanographic, atmospheric and climatological studies. OSCAT Daily Wind Composites have been generated by interpolating OSCAT level-2B wind fields using Variational Inverse Method (VIM) inbuilt in Data-Interpolating Variational Analysis (DIVA) software. These products will have their utility in daily weather and modeling activities. The output products consist of zonal and meridional wind components with their respective error fields as computed by DIVA. Further details have been provided in the technical document. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Ocean Wind Velocity data of user selected aeras.

  10. g

    Department of Space, Indian Space Research Organization, National Remote...

    • gimi9.com
    Updated May 10, 2025
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    (2025). Department of Space, Indian Space Research Organization, National Remote Sensing Centre - Albedo derived from Oceansat-2 Ocean Color Monitor (OCM) [Dataset]. https://gimi9.com/dataset/in_albedo-derived-oceansat-2-ocean-color-monitor-ocm/
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    Dataset updated
    May 10, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Albedo is a key parameter that is widely used in land- surface energy balance studies, mid- to long-term weather prediction and global climate change in estigation. Surface albedo is the ratio of upwelling radiant energy relative to the down-welling irradiance incident upon a surface. This data is a value added product which is derived from Oceansat-2 OCM which operates in eight spectral bands in VNIR bands with 1Km spatial resolution and swath of 1420 kms. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Albedo data of user selected aeras.

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https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/ (2022). _06jan22 [Dataset]. https://bhuvan-suvidha1.nrsc.gov.in/layers/geonode%3A_06jan22

_06jan22

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Dataset updated
Feb 1, 2022
Authors
https://bhuvan-suvidha1.nrsc.gov.in/people/profile/nareshnzb2/
Description

No abstract provided

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