The potential use of theos satellite image for land use survey

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Presented in “China – Thailand Geo-Informatics Workshop Series I: Agricultural Applications” 30 June - 2 July 2010 at Pattaya, Thailand

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The potential use of theos satellite image for land use survey

  1. 1. The Potential Use of THEOS Satellite Image for Land Use Survey China-Thailand Geo-Informatics Workshop Series I: Agricultural Applications June 29, 2010 Chamaporn Paiboonvorachat Land Use Analysis Division
  2. 2. Land Use Analysis Division <ul><li>Land Development Department </li></ul><ul><li>Ministry of Agriculture and Cooperatives </li></ul><ul><li>Main responsibility </li></ul><ul><li>Analyze remotely-sensed data for land use survey and mapping </li></ul><ul><li>Provide land use maps for agricultural land use planning </li></ul>
  3. 3. Land Use Analysis Division <ul><li>Hard copy land use maps: 1974 </li></ul><ul><li>Digital land use maps: 2000 </li></ul><ul><li>Revise maps every two years </li></ul>2006 2008
  4. 4. 2010 <ul><li>Land Use Analysis Division 1 </li></ul><ul><li>Mapping in East & Northeast of Thailand </li></ul><ul><li>Overlay previous land use maps on satellite image </li></ul><ul><li>Visual interpretation - Digitizing </li></ul>Aerial photo/ Satellite Image Land Use 2008
  5. 5. Objective of the study <ul><li>To utilize THEOS image in monitoring the changing areas </li></ul><ul><li>To assess the accuracy of the classified areas comparing to ground truth </li></ul>
  6. 6. Study area <ul><li>Southwest of Nongyai District, Chonburi Province </li></ul>
  7. 7. Data Preparation <ul><li>Pre-process </li></ul><ul><li>SPOT 5 : resolution 2.5 meters </li></ul><ul><ul><li>January 12, 2007 </li></ul></ul><ul><li>THEOS : resolution 15 meters </li></ul><ul><ul><li>October 10, 2009 </li></ul></ul>
  8. 8. Data Preparation <ul><li>Geometric correction : Image-to-image registration </li></ul>SPOT THEOS
  9. 9. Data Preparation <ul><li>Rescale SPOT image </li></ul>2.5 meters 15 meters
  10. 10. Data Preparation <ul><li>Atmospheric correction: Empirical Line Calibration </li></ul><ul><ul><li>Forces the remotely-sensed data to match in situ spectral reflectance measurements (Jensen, 2005) </li></ul></ul>
  11. 11. Change Detection <ul><li>Differencing Vegetation Index Images </li></ul><ul><li>Normalized Difference Vegetation Index </li></ul><ul><ul><li>∆ NDVI ij = NDVI ij(date2) – NDVI ij(date1) </li></ul></ul><ul><li>Increase/decrease vegetation cover </li></ul>Decreased
  12. 12. Field Survey <ul><li>Overlay previous land use map, marked polygons, THEOS image </li></ul><ul><li>Field check: GPS, compass, other instruments </li></ul>
  13. 13. Result <ul><li>High classification accuracy of 81.25% </li></ul>
  14. 14. Land use change <ul><li>Perennial crop: Eucalyptus, Oil palm, Cashew nut  Young para rubber plantation, cropland </li></ul>Eucalyptus SPOT THEOS Para rubber Pineapple
  15. 15. Land use change <ul><li>Croplands: Sugarcane, Cassava, Pineapple  Young para rubber plantation </li></ul>SPOT THEOS Para rubber Pineapple Eucalyptus Poultry farm
  16. 16. Uncertainty <ul><li>Mainly found in croplands </li></ul><ul><li>Different time of taking images </li></ul>SPOT THEOS Pineapple Pineapple Sugarcane Sugarcane
  17. 17. Conclusion <ul><li>More than 80% correct classification </li></ul><ul><li>THEOS image is useful for change detection </li></ul><ul><li>Provide more efficiency in survey in limited time </li></ul><ul><li>2011 </li></ul><ul><li>THEOS images should be offered in Central and Southern Regions of Thailand </li></ul>
  18. 18. Thank you

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