The document discusses efforts by the Japanese government and organizations to develop an interoperable platform for agricultural data exchange and applications. It outlines policies and initiatives to standardize agricultural data, promote open data, and launch groups to gather user scenarios and requirements. It also describes various projects exploring ways to integrate sensor networks, remote sensing, weather data and crop simulation models to provide more accessible and usable agricultural information and decision support services.
The document summarizes the Geospatial Information and Space Technology Development Agency (GISTDA) of Thailand's use of space technology for disaster risk reduction. GISTDA utilizes satellite data and imagery to monitor and map natural disasters such as droughts, forest fires, and floods affecting Thailand. Satellite data from THEOS, SPOT, RADARSAT, and other satellites are used to detect hazards, assess damage from events, and disseminate information to authorities and the public through online maps and reports.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
1. The study aims to provide decision support for drought risk and crisis management in Cambodia using remote sensing data.
2. TRMM and MODIS data will be used to identify drought prone areas and monitor drought conditions. TRMM data will be used to classify drought prone areas while TVDI derived from MODIS will assess water stress.
3. The results can help identify areas for drought preparedness and mitigation as well as monitor drought response efforts. Remote sensing shows potential for drought monitoring when validated with ground data.
1) The document discusses a case study using the SINMAP model to conduct rain-triggered landslide hazard analysis in Nan Province, Thailand.
2) The SINMAP model combines an infinite slope stability model with a steady-state hill slope hydrology model to analyze landslide hazards under different rainfall and land cover scenarios.
3) The results of the analysis found that about 22% of historical landslides were in areas classified as having low hazard, while 49% occurred in areas of high hazard, indicating the model was effective at predicting landslide occurrence.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
The document discusses efforts by the Japanese government and organizations to develop an interoperable platform for agricultural data exchange and applications. It outlines policies and initiatives to standardize agricultural data, promote open data, and launch groups to gather user scenarios and requirements. It also describes various projects exploring ways to integrate sensor networks, remote sensing, weather data and crop simulation models to provide more accessible and usable agricultural information and decision support services.
The document summarizes the Geospatial Information and Space Technology Development Agency (GISTDA) of Thailand's use of space technology for disaster risk reduction. GISTDA utilizes satellite data and imagery to monitor and map natural disasters such as droughts, forest fires, and floods affecting Thailand. Satellite data from THEOS, SPOT, RADARSAT, and other satellites are used to detect hazards, assess damage from events, and disseminate information to authorities and the public through online maps and reports.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
1. The study aims to provide decision support for drought risk and crisis management in Cambodia using remote sensing data.
2. TRMM and MODIS data will be used to identify drought prone areas and monitor drought conditions. TRMM data will be used to classify drought prone areas while TVDI derived from MODIS will assess water stress.
3. The results can help identify areas for drought preparedness and mitigation as well as monitor drought response efforts. Remote sensing shows potential for drought monitoring when validated with ground data.
1) The document discusses a case study using the SINMAP model to conduct rain-triggered landslide hazard analysis in Nan Province, Thailand.
2) The SINMAP model combines an infinite slope stability model with a steady-state hill slope hydrology model to analyze landslide hazards under different rainfall and land cover scenarios.
3) The results of the analysis found that about 22% of historical landslides were in areas classified as having low hazard, while 49% occurred in areas of high hazard, indicating the model was effective at predicting landslide occurrence.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
1) The document discusses how to effectively provide disaster information to end users.
2) It identifies different types of information needed like damage reports, images, and descriptions that can be collected and transmitted orally, via phone, fax, email or satellite images.
3) The information then needs to be interpreted or analyzed and cooked in a way that is easily understood by different end users like citizens, local governments to aid in emergency response, recovery and preparedness efforts.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
The document summarizes the activities of the Asian Disaster Reduction Center (ADRC) including information sharing, human resource development, and community capacity building. It describes ADRC's Sentinel Asia program which utilizes satellite data from partner agencies for disaster management purposes. The goal of ADRC's Japan-ASEAN cooperation project is to build capacity for utilizing satellite images in producing disaster-related information and products through training workshops and seminars in ASEAN countries.
This document outlines a study that aims to model land suitability evaluation for growing certain crops in Lop Buri province, Thailand using geo-informatics technology. The study will integrate land quality factors like soil properties, climate, and erosion risk to create individual and combined land suitability maps for crops like rice, corn, sugarcane, cassava, and sunflower. Field data on crop requirements, soil characteristics, and land use will be analyzed in a GIS along with economic and social data to validate the land suitability maps. The results are expected to improve land management and identify optimal areas for different agricultural activities.
This document analyzes changes in land use and the encroachment of agriculture on forest reserves in Phu Luang Wildlife Sanctuary, Loei Province, Thailand between 1997-2010 using satellite imagery. The methodology involved classifying land use from Landsat images in 1997, 2001, 2005, and THEOS data in 2010, validating with field surveys. The results showed forest area decreased 15.28 sq km while agriculture increased 27.93 sq km over this period, demonstrating ongoing encroachment on the forest reserve despite protection measures.
This document discusses using remote sensing for agricultural drought monitoring in China. It presents several methods:
1) Various remote sensing indices are used to monitor vegetation conditions, surface temperature, and soil moisture from sensors including AVHRR and MODIS.
2) Models are developed to relate the indices to soil moisture measurements from monitoring stations.
3) The models are validated and incorporated into an operational drought monitoring system called DroughtWatch to monitor drought conditions across China.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
1) The document discusses how to effectively provide disaster information to end users.
2) It identifies different types of information needed like damage reports, images, and descriptions that can be collected and transmitted orally, via phone, fax, email or satellite images.
3) The information then needs to be interpreted or analyzed and cooked in a way that is easily understood by different end users like citizens, local governments to aid in emergency response, recovery and preparedness efforts.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
The document summarizes the activities of the Asian Disaster Reduction Center (ADRC) including information sharing, human resource development, and community capacity building. It describes ADRC's Sentinel Asia program which utilizes satellite data from partner agencies for disaster management purposes. The goal of ADRC's Japan-ASEAN cooperation project is to build capacity for utilizing satellite images in producing disaster-related information and products through training workshops and seminars in ASEAN countries.
This document outlines a study that aims to model land suitability evaluation for growing certain crops in Lop Buri province, Thailand using geo-informatics technology. The study will integrate land quality factors like soil properties, climate, and erosion risk to create individual and combined land suitability maps for crops like rice, corn, sugarcane, cassava, and sunflower. Field data on crop requirements, soil characteristics, and land use will be analyzed in a GIS along with economic and social data to validate the land suitability maps. The results are expected to improve land management and identify optimal areas for different agricultural activities.
This document analyzes changes in land use and the encroachment of agriculture on forest reserves in Phu Luang Wildlife Sanctuary, Loei Province, Thailand between 1997-2010 using satellite imagery. The methodology involved classifying land use from Landsat images in 1997, 2001, 2005, and THEOS data in 2010, validating with field surveys. The results showed forest area decreased 15.28 sq km while agriculture increased 27.93 sq km over this period, demonstrating ongoing encroachment on the forest reserve despite protection measures.
This document discusses using remote sensing for agricultural drought monitoring in China. It presents several methods:
1) Various remote sensing indices are used to monitor vegetation conditions, surface temperature, and soil moisture from sensors including AVHRR and MODIS.
2) Models are developed to relate the indices to soil moisture measurements from monitoring stations.
3) The models are validated and incorporated into an operational drought monitoring system called DroughtWatch to monitor drought conditions across China.
Progress of land ecosystem studies with geo information and space technology ...
Accurate satellite mapping for government agricultural management
1. Tatiya Chuentragun Geo-Informatics and Space Technology Development Agency (tatiya@gistda.or.th ) Accurate Satellite Mapping for Governmental Agricultural Management
2. Northern Region Central Region North Eastern Region Southern Region Overview : 510,000 km 2 : 4 Regions : 76 Provinces Background
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. 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. 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
11. 29 January 2009 THEOS MS 15 m . Forest fire from THEOS
12. Agricultural application (Thailand/GISTDA) Sensor : Optical Resolution: few high, medium --- low Coverage : Large area Accuracy : moderate Spectral : Pan, MS
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. 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
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. 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. 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
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. 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. 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)
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. 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. 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