Virginia Tech
Browse
DATASET
New_Delhi_VLM_data.csv (9.22 MB)
DATASET
Mumbai_VLM_data.csv (7.44 MB)
DATASET
Bengaluru_VLM_data.csv (3.2 MB)
DATASET
Chennai_VLM_data.csv (4.74 MB)
DATASET
Kolkata_VLM_data.csv (3.24 MB)
IMAGE
NewDelhi_riskmap_insar_period.tif (40.19 kB)
IMAGE
NewDelhi_riskmap_10years.tif (40.2 kB)
IMAGE
NewDelhi_riskmap_30years.tif (40.41 kB)
IMAGE
NewDelhi_riskmap_50years.tif (40.68 kB)
IMAGE
Mumbai_riskmap_insar_period.tif (43.53 kB)
IMAGE
Mumbai_riskmap_50years.tif (44.16 kB)
IMAGE
Mumbai_riskmap_30years.tif (43.71 kB)
IMAGE
Mumbai_riskmap_10years.tif (43.53 kB)
IMAGE
Bengaluru_riskmap_insar_period.tif (9.82 kB)
IMAGE
Bengaluru_riskmap_10years.tif (9.82 kB)
IMAGE
Bengaluru_riskmap_30years.tif (9.88 kB)
IMAGE
Bengaluru_riskmap_50years.tif (10.08 kB)
IMAGE
Chennai_riskmap_10years.tif (19.36 kB)
IMAGE
Chennai_riskmap_30years.tif (19.68 kB)
IMAGE
Chennai_riskmap_50years.tif (20.12 kB)
1/0
27 files

Data for Vertical Land Motion and Building Damage Risk for the Indian Megacities

Download all (28.36 MB)
dataset
posted on 2024-05-21, 16:51 authored by Nitheshnirmal SadhasivamNitheshnirmal Sadhasivam, Leonard OhenhenLeonard Ohenhen, Mohammad KhorramiMohammad Khorrami, Susanna WerthSusanna Werth, Manoochehr ShirzaeiManoochehr Shirzaei

The dataset contains the building damage risk map for the fast growing Indian megacities: New Delhi, Mumbai, Bengaluru, Chennai, and Kolkata, based on the vertical land motion map.

Researchers can use ArcGIS/QGIS or any other programming languages supporting GeoTIFF format to extract the values along with the latitude and longitude.

Funding

Improved Resolution and Sampling of Total Water Storage Changes Through Data Fusion

National Aeronautics and Space Administration

Find out more...

Democratizing data to support adaptation decision making in the North-Atlantic Coastal Plain: land subsidence, compound flooding hazard and water quality

National Aeronautics and Space Administration

Find out more...

History

Publisher

University Libraries, Virginia Tech

Location

New Delhi, India Mumbai, India Bengaluru, India Chennai, India Kolkata, India

Corresponding Author Name

Nitheshnirmal Sadhasivam

Corresponding Author E-mail Address

nitheshnirmal@vt.edu

Files/Folders in Dataset and Description

The data contains 26 files: 1. New_Delhi_VLM_data.csv contains the vertical land motion (VLM) in cm/year for New Delhi, India. The file has three columns: longitude (deg.), latitude (deg.), vlm(cm/yr). 2. Mumbai_VLM_data.csv contains the vertical land motion (VLM) in cm/year for Mumbai, India. The file has three columns: longitude (deg.), latitude (deg.), vlm(cm/yr). 3. Bengaluru_VLM_data.csv contains the vertical land motion (VLM) in cm/year for Bengaluru, India. The file has three columns: longitude (deg.), latitude (deg.), vlm(cm/yr). 4. Chennai_VLM_data.csv contains the vertical land motion (VLM) in cm/year for Chennai, India. The file has three columns: longitude (deg.), latitude (deg.), vlm(cm/yr). 5. Kolkata_VLM_data.csv contains the vertical land motion (VLM) in cm/year for Kolkata, India. The file has three columns: longitude (deg.), latitude (deg.), vlm(cm/yr). 6. NewDelhi_riskmap_insar_period.tif contains the different building damage risk levels of New Delhi for InSAR year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 7. NewDelhi_riskmap_10years.tif contains the different building damage risk levels of New Delhi for 10 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 8. NewDelhi_riskmap_30years.tif contains the different building damage risk levels of New Delhi for 30 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 9. NewDelhi_riskmap_50years.tif contains the different building damage risk levels of New Delhi for 50 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 10. Mumbai_riskmap_insar_period.tif contains the different building damage risk levels of Mumbai for InSAR year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 11. Mumbai_riskmap_10years.tif contains the different building damage risk levels of Mumbai for 10 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 12. Mumbai_riskmap_30years.tif contains the different building damage risk levels of Mumbai for 30 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 13. Mumbai_riskmap_50years.tif contains the different building damage risk levels of Mumbai for 50 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 14. Bengaluru_riskmap_insar_period.tif contains the different building damage risk levels of Bengaluru for InSAR year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 15. Bengaluru_riskmap_10years.tif contains the different building damage risk levels of Bengaluru for 10 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 16. Bengaluru_riskmap_30years.tif contains the different building damage risk levels of Bengaluru for 30 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 17. Bengaluru_riskmap_50years.tif contains the different building damage risk levels of Bengaluru for 50 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 18. Chennai_riskmap_insar_period.tif contains the different building damage risk levels of Chennai for InSAR year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 19. Chennai_riskmap_10years.tif contains the different building damage risk levels of Chennai for 10 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 20. Chennai_riskmap_30years.tif contains the different building damage risk levels of Chennai for 30 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 21. Chennai_riskmap_50years.tif contains the different building damage risk levels of Chennai for 50 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 22. Kolkata_riskmap_insar_period.tif contains the different building damage risk levels of Kolkata for InSAR year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 23. Kolkata_riskmap_10years.tif contains the different building damage risk levels of Kolkata for 10 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 24. Kolkata_riskmap_30years.tif contains the different building damage risk levels of Kolkata for 30 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 25. Kolkata_riskmap_50years.tif contains the different building damage risk levels of Kolkata for 50 year period. The GeoTIFF file has 4 different risk levels (0-Very Low, 1-Low, 2-Medium, 3-High,4-Very High) and NaN where there is no data. The GeoTIFF files can be plotted in any GIS software (ArcGIS or QGIS) or using any programming language. 26. Building_Collapse_Incidents.xlsx contains the catalog of 26 building collapse data collected for this study. The file has 8 columns: Column 1: Date, Column 2: Address, Column 3: Structure that collapsed, Column 4: City, Column 5: Injury, Column 6: Death, Column 7: Research paper, Column 8: Cited sources.

Usage metrics

    Geosciences

    Categories

    Keywords

    Vertical Land Motion (VLM)Land SubsidenceIndiaAngular DistortionMegacitiesBuilding Damage RiskChennaiMumbaiKolkataBengaluruNew DelhiBuilding CollapseIndian Megacities

    Licence

    CC0 1.0 Universal (CC0 1.0) Public Domain Dedication

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC