Tatiya  Chuentragun Geo-Informatics and Space Technology Development Agency (tatiya@gistda.or.th ) Accurate Satellite Mapp...
Northern Region Central Region North Eastern Region Southern Region Overview : 510,000 km 2 : 4 Regions : 76 Provinces Bac...
หน่วย :  ไร่ Unit: km 2 . Source: Office of Agricultural Economics  http://www.oae.go.th/download/article/article_20090417...
Major Agricultural Products  Field crops:  Rice, Field Corns, Cassavas, Sugar Canes, Soybeans, Green Beans, Peanuts, Drago...
Source: National Statistical Office of Thailand Age  >  15 Thai Population Categorized by Type of Labor Force (2008)  Non-...
Satellite imagery and Value-Add Products for Thai Agricultural Management
Mapping Feature Identification Positional Accuracy Resolving Power Satellite Image Utilization
TERRA   ระบบ   ASTER   ความสูงของการโคจร 705  กม . โคจรซ้ำบริเวณเดิม 16  วัน รายละเอียดภาพ 15   ม . ความกว้างแนวถ่ายภาพ 60...
Rubber Classification in Southern Region from Landsat-5
Rubber and Oil Palm in Southern Region from Landsat-5
29 January   2009 THEOS MS 15 m . Forest fire from THEOS
Agricultural application  (Thailand/GISTDA)  Sensor  : Optical Resolution: few high, medium --- low Coverage  :  Large are...
ความถูกต้องทางตำแหน่งของภาพถ่ายดาวเทียม   WorldView-1
Horizontal Accuracy of SPOT-5  และ  THEOS imagery Product Levels Horizontal Accuracy SPOT-5 THEOS Level  1 A  < 30 m < 300...
Horizontal Accuracy of Cadastral Maps (DOL) Land Title 1:4,000 1:1,000 NS 3K 1:5,000 1 mm on Printed media on each scale 4...
Rice Insurance (Rice Price Guarantee Scheme) Agricultural products Mortgage  VS. Agricultural products Insurance Agricultu...
Off-Season Rice Plantation from THEOS
Agricultural Parcel Identification from THEOS
From those processes, the followings may be acquired: : Approximate areas of cropping : Locations of those crops : Health ...
Objectives - To generate ortho-satellite imagery with consistent sufficient positional accuracy as ready-to-use and fundam...
To support Agricultural Policy in Thailand operational tools are required to:  - Assist farmers to  better manage their pa...
Satellite Image Geometric Corrections Digital Terrain Model (DTM)
Ortho-Rectification Process
Off-Season Rice Plantation from THEOS (Pathumthani) Areas of Plantation Registered VS. Detected  Location of Paddy fields ...
Accurate  Satellite imagery and Value-Add Products for Thai Agricultural Management
Coverage of SPOT-5 Ortho-Image
Off-Season Rice Plantation from THEOS (Pathumthani)
Paddy Fields Land Parcels © 2010 GISTDA
Paddy Fields Land Parcels © 2007 Image
Paddy Fields Land Parcels WV-2 ©2010 DigitalGlobe
Farmers VS. Owners  Paddy Fields Land Parcels © 2010 DigitalGlobe
Positional (Horizontal) Accuracy Assessment SPOT-5 THEOS WorldView-1 WorldView-2 Quickbird GeoEye-1
SPOT-5 Ortho-Image Horizontal Accuracy  RMSE x  = 2.844 m RMSE y  = 2.700 m RMSE r  = 3.921 m NSSDA(CE95) = 6.787 m NMAS(C...
THEOS Ortho-Image Horizontal Accuracy  Preliminary Result RMSE x  = 1.962 m RMSE y  = 1.720 m RMSE r  = 2.609 m NSSDA(CE95...
WorldView-2 Ortho-Image Horizontal Accuracy  RMSE x  = 0.58 m RMSE y  = 0.80 m RMSE r  = 0.99 m NSSDA(CE95) = 1.72 m NMAS(...
ASPRS Standard
Use of Accurate satellite Mapping for  Agricultural Management <ul><li>Source for classification </li></ul><ul><li>Base ma...
Thank you
Associated Government Organization Royal Forest Department & Department of National Park, Wildlife, and Plant Conservation...
Associated Government Organization Agricultural Land Reform Office Land Development Department Land Allocation for Farmers...
GISTDA: Geo-Informatics and Space Development Agency Satellite image and geo-informatics products provider and support for...
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Accurate satellite mapping for government agricultural management

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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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Accurate satellite mapping for government agricultural management

  1. 1. Tatiya Chuentragun Geo-Informatics and Space Technology Development Agency (tatiya@gistda.or.th ) Accurate Satellite Mapping for Governmental Agricultural Management
  2. 2. Northern Region Central Region North Eastern Region Southern Region Overview : 510,000 km 2 : 4 Regions : 76 Provinces Background
  3. 3. หน่วย : ไร่ Unit: km 2 . Source: Office of Agricultural Economics http://www.oae.go.th/download/article/article_20090417181149.html   การใช้ที่ดินเพื่อการเกษตรของประเทศไทย ระดับประเทศ  ภาค  จังหวัด  ปี 2549       เนื้อที่ถือครองทางการเกษตร   เนื้อที่   เนื้อที่ / เนื้อที่ถือครอง ที่อยู่อาศัย ที่นา ที่พืชไร่ ที่ไม้ผลและ ที่สวนผักและ ที่ทุ่งหญ้า ที่รกร้าง เนื้อที่ เนื้อที่ ทั้งหมด ป่าไม้ ทางการเกษตร       ไม้ยืนต้น ไม้ดอก เลี้ยงสัตว์   ทำการเกษตรอื่นๆ นอกการเกษตร 320,696,888 104,744,331 130,290,717 3,609,998 63,551,124 27,249,969 28,626,646 1,236,938 1,132,083 2,290,823 2,593,136 85,661,840 Agricultural Land use in Thailand (2006) Overall Area Forest Agricultural Use Non-Agriculture Total Residence Rice Field Field Crops Permanent Crops Vegetable/ Flower Pasture Abandoned Others 513,115.02 167,590.93 208,465.15 5,776.00 101,681.80 43,599.95 45,802.63 1,979.10 1,811.33 3,665.32 4,149.02 137,058.94 32.66% 40.63% 19.82% 17.42% 26.71%
  4. 4. Major Agricultural Products Field crops: Rice, Field Corns, Cassavas, Sugar Canes, Soybeans, Green Beans, Peanuts, Dragonfly, Sorghums, Shallots, Onions, Garlic, Potatoes, Pineapple Permanent crops: Rubber plant, Oil Palm, Coffee, Longan, Durian, Mangosteen, rambutan, lichee, Manggo, Coconut, Long kong, Tangerine Cattle and Inland Fishery: Pork, Chicken, Beef, Milk, Fresh-Water Fish etc. http:// www.oae.go.th/main.php?filename=agri_production
  5. 5. Source: National Statistical Office of Thailand Age > 15 Thai Population Categorized by Type of Labor Force (2008) Non-labor Force 14.20 Millions 27.4% Labor Force 37.7 Millions 72.6% Students4.23M House work 4.66M Others 5.31M Employed 37.02M Non-Agricultural WF 22.32M Agricultural WF 14.70M Unemployed 0.52M Off-season 0.16M
  6. 6. Satellite imagery and Value-Add Products for Thai Agricultural Management
  7. 7. Mapping Feature Identification Positional Accuracy Resolving Power Satellite Image Utilization
  8. 8. TERRA ระบบ ASTER ความสูงของการโคจร 705 กม . โคจรซ้ำบริเวณเดิม 16 วัน รายละเอียดภาพ 15 ม . ความกว้างแนวถ่ายภาพ 60 กม . LANDSAT-5 ความสูงของการโคจร 705 กม . โคจรซ้ำบริเวณเดิม 16 วัน รายละเอียดภาพ 30 ม . 60 ม . ความกว้างแนวถ่ายภาพ 185 กม . ALOS ความสูงของการโคจร 692 กม . โคจรซ้ำบริเวณเดิม 46 วัน รายละเอียดภาพ 2.5 - 100 ม . ความกว้างแนวถ่ายภาพ 70 - 350 กม . THEOS ความสูงของการโคจร 822 กม . โคจรซ้ำบริเวณเดิม 26 วัน รายละเอียดภาพ 2 ม . (PAN) 15 ม . (Multispectral) ความกว้างแนวถ่ายภาพ 90 ก . ม . (Multispectral) MODIS ระบบ ASTER ความสูงของการโคจร 705 กม . โคจรซ้ำบริเวณเดิม 16 วัน รายละเอียดภาพ 250 ม . - 1 กม . ความกว้างแนวถ่ายภาพ 2330 กม .
  9. 9. Rubber Classification in Southern Region from Landsat-5
  10. 10. Rubber and Oil Palm in Southern Region from Landsat-5
  11. 11. 29 January 2009 THEOS MS 15 m . Forest fire from THEOS
  12. 12. Agricultural application (Thailand/GISTDA) Sensor : Optical Resolution: few high, medium --- low Coverage : Large area Accuracy : moderate Spectral : Pan, MS
  13. 13. ความถูกต้องทางตำแหน่งของภาพถ่ายดาวเทียม WorldView-1
  14. 14. Horizontal Accuracy of SPOT-5 และ THEOS imagery Product Levels Horizontal Accuracy SPOT-5 THEOS Level 1 A < 30 m < 300 m (190 m) Level 1 B < 30 m < 300 m (190 m) Level 2A < 30 m < 300 m (190 m) Level 2B GCPs GCPs Level 3 (Ortho-image) GCPs GCPs
  15. 15. Horizontal Accuracy of Cadastral Maps (DOL) Land Title 1:4,000 1:1,000 NS 3K 1:5,000 1 mm on Printed media on each scale 4 -5 m accuracy
  16. 16. Rice Insurance (Rice Price Guarantee Scheme) Agricultural products Mortgage VS. Agricultural products Insurance Agricultural products Insurance
  17. 17. Off-Season Rice Plantation from THEOS
  18. 18. Agricultural Parcel Identification from THEOS
  19. 19. From those processes, the followings may be acquired: : Approximate areas of cropping : Locations of those crops : Health of those crops : etc. Whose land parcels were those crops are planted in ? Private Own??? Public Own???
  20. 20. Objectives - To generate ortho-satellite imagery with consistent sufficient positional accuracy as ready-to-use and fundamental data for all RS and agricultural applications and integration with cadastral maps. - To assess and determine positional accuracy and potential suitable map scale for available satellite imagery.
  21. 21. To support Agricultural Policy in Thailand operational tools are required to:  - Assist farmers to better manage their parcels and get more revenues  - Estimation of yields to anticipate export market capacity  - Effective monitor agricultural practices and assess environmental stress (pollution, irrigation)  - etc.   http://www.gisdevelopment.net/application/agriculture/overview/ma06_215abs.htm
  22. 22. Satellite Image Geometric Corrections Digital Terrain Model (DTM)
  23. 23. Ortho-Rectification Process
  24. 24. Off-Season Rice Plantation from THEOS (Pathumthani) Areas of Plantation Registered VS. Detected Location of Paddy fields Registered VS. Detected
  25. 25. Accurate Satellite imagery and Value-Add Products for Thai Agricultural Management
  26. 26. Coverage of SPOT-5 Ortho-Image
  27. 27. Off-Season Rice Plantation from THEOS (Pathumthani)
  28. 28. Paddy Fields Land Parcels © 2010 GISTDA
  29. 29. Paddy Fields Land Parcels © 2007 Image
  30. 30. Paddy Fields Land Parcels WV-2 ©2010 DigitalGlobe
  31. 31. Farmers VS. Owners Paddy Fields Land Parcels © 2010 DigitalGlobe
  32. 32. Positional (Horizontal) Accuracy Assessment SPOT-5 THEOS WorldView-1 WorldView-2 Quickbird GeoEye-1
  33. 33. SPOT-5 Ortho-Image Horizontal Accuracy RMSE x = 2.844 m RMSE y = 2.700 m RMSE r = 3.921 m NSSDA(CE95) = 6.787 m NMAS(CE90) = 5.951 m Map Scale 1:15,000 (ASPRS)
  34. 34. THEOS Ortho-Image Horizontal Accuracy Preliminary Result RMSE x = 1.962 m RMSE y = 1.720 m RMSE r = 2.609 m NSSDA(CE95) = 4.515 m NMAS(CE90) = 3.959 m Map Scale 1:8,000 (ASPRS)
  35. 35. WorldView-2 Ortho-Image Horizontal Accuracy RMSE x = 0.58 m RMSE y = 0.80 m RMSE r = 0.99 m NSSDA(CE95) = 1.72 m NMAS(CE90) = 1.49 m Preliminary Result Map Scale 1:4,000 (ASPRS)
  36. 36. ASPRS Standard
  37. 37. Use of Accurate satellite Mapping for Agricultural Management <ul><li>Source for classification </li></ul><ul><li>Base map for superimpose with other data </li></ul>
  38. 38. Thank you
  39. 39. Associated Government Organization Royal Forest Department & Department of National Park, Wildlife, and Plant Conservation Office of Agricultural Economics Forest & National Parks Agricultural Information Agricultural Policy & Development Agricultural Research
  40. 40. Associated Government Organization Agricultural Land Reform Office Land Development Department Land Allocation for Farmers Develop & maintain infrastructure Enhance farmers living & increase income Land use
  41. 41. GISTDA: Geo-Informatics and Space Development Agency Satellite image and geo-informatics products provider and support for those organizations and government’s policies. The Department of Lands (DOL) Title deed and land right issuance, Land registration and demarcation

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