Remote Sensing Big Data Analytics with GIS

Remote Sensing and GIS

1. Remote Sensing Big Data Analytics with GIS 1

2. The Five V’s 2 Scale of Data Analysis of Data Flow Structured and Unstructured Data Uncertainty of Data

3. Big Remote Sensing Data

4. Earth Observation Satellites

5. Need of Earth Observation 5 Natural Hazard Monitoring, Global Climate Change Soil Conservation Volcanic Phenomenon Water Pollution

6. Earth Observation Data 6 Source: https://commons.wikimedia.org/w/index.php?search=earth+observation+data&title=Special:MediaSearch&go=Go&type=image

7. Features of Remote-sensing Big Data 7 Collect Manage Store Archive Analyse Visualize Distribute Ground, Aerial, Satellite, UAV Large achieve, Real time Optical, Microwave, Hyperspectral, LiDAR Data Enhance Through Visualization

8. Features of Remote-sensing Big Data 8 Quick Bird II: Resolution.: 0.61 meter panchromatic 2.4 meter multispectral Source: https://www.satimagingcorp.com/gallery/quickbird/quickbird-umbrella-cay-bahamas/ Source: https://nara.getarchive.net/media/ert-landsat-satellite-and-lake-michigan-a8eb2b Landsat 8 images have 15-meter panchromatic and 30-meter multi-spectral spatial resolutions along a 185 km (115 mi) swath.

9. The Dynamic state of Remote Sensing Big Data 9

10. Raster Data/ Vector Data 10

11. What is GIS? 11 What is GIS?: “A computer - assisted system for the capture, storage retrieval, analysis and display of spatial data, within a particular Organization”. (Clarke, 1986) A GIS is a computer-based system that provides the four sets of capabilities to handle geo-referenced data:

12. How GIS Used 12 Identify Problems Monitor Change Manage and Respond to Events Perform forecasting Set priorities Understand trends

13. Planetary-scale Geospatial Analysis 13 Google Earth Engine: Next Generation Digital Earth “Big Data,” paradigm of science that emphasizes international collaboration, data-intensive analysis, huge computing resources, and high-end visualization.” Source: https://docs.google.com/presentation/d/1hT9q6kWigM1MM3p7IEcvNQlpPvkedW-lgCCrIqbNeis/edit#slide=id.g4e98c855a5_0_0 33 years Of satellite data Over 5,000,000 Landsat and Sentinel scenes analysed 3 Quadrillion Pixels (3,000,000,000,000,000)

14. Planetary-scale Geospatial Analysis 14 Google Earth Engine: Next Generation Digital Earth Source: https://docs.google.com/presentation/d/1hT9q6kWigM1MM3p7IEcvNQlpPvkedW-lgCCrIqbNeis/edit#slide=id.g4e98c855a5_0_0

15. Planetary-scale Geospatial Analysis 15 Google Earth Engine: Next Generation Digital Earth Source: https://docs.google.com/presentation/d/1hT9q6kWigM1MM3p7IEcvNQlpPvkedW-lgCCrIqbNeis/edit#slide=id.g4e98c855a5_0_0

16. Planetary-scale Geospatial Analysis 16 Google Earth Engine: Next Generation Digital Earth Source: https://docs.google.com/presentation/d/1hT9q6kWigM1MM3p7IEcvNQlpPvkedW-lgCCrIqbNeis/edit#slide=id.g4e98c855a5_0_0

17. Planetary-scale Geospatial Analysis 17 Google Earth Engine coder Source: https://docs.google.com/presentation/d/1hT9q6kWigM1MM3p7IEcvNQlpPvkedW-lgCCrIqbNeis/edit#slide=id.g4e98c855a5_0_0 https://code.earthengine.google.com/

18. Future of big data analytics in remote sensing and GIS? 18

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