Sentinel Asia Wildfire Monitoring
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1 Sentinel Asia Wildfire Monitoring Masami FUKUDA Institute of Low Temp. Sci. Hokkaido Univ. 3rd Sentinel Asia JPT Meeting 13 March 2007, Singapore
2 Objective of Sentinel Asia Wildfire Monitoring Contribution to the Asia-Pacific region for Wildfire Management and Control based on requirements Contribution to Global Environment: Prevention of global warming Impact to future global warming Carbon Cycle: Sink Source Contribution to Kyoto Protocol Sustainable Forest Management
3 Requirements for Sentinel Asia Wildfire Monitoring Requirements from Asian countries: Wildfire is one of the major and chronic phenomenon affecting many Countries in South-East Asia. Requrements from Hotspot Users (Fire Control Agency): Current hotspot information using MODIS data on various Web Sites cannot be used for its unreliability. Actual Needs: To protect protected-area from Wildfire Mitigate damage caused by smoke
4 Requirements for Disaster Monitoring JAXA investigated requirements for disaster monitoring using satellite data in 2002 Thailand Flood, Wildfire, Drought, Typhoon, Landslide Indonesia Wildfire, Flood, Oil spill, Marine peril Philippine Typhoon, Flood, Drought, Volcanic eruption, Earthquake Malaysia Wildfire, Water pollution Vietnam Wildfire, Typhoon, Landslide, Drought, Flood
5 History Feb. 2006: Sentinel Asia has been initiated including Wildfire Monitoring in its activities June 2006: Wildfire Working Group (WG) has been organized Leader : Prof. M. Fukuda of Hokkaido Univ. 1st WG meeting was held in Bangkok Sept. 2006: 2nd WG meeting (Provider Group) at Pekayon in Indonesia Oct. 2006: Validation Campain in Indonesia Jan. 2007: 3rd WG meeting (Provider Group+ User Group) in GEOSS Symposium in Tokyo
6 Necessary Activities VS Requirements Requirement from Asian countries: Wildfire is one of the major and chronic phenomenon affecting many Countries in South-East Asia. Requrements from Hotspot Users (Fire Control Agency): Current hotspot information using MODIS data on various Web Sites cannot be used because of its unreliability. To provide validated & reliable Hotspot information Validation Campain & Improvement of Hotspot Detection Argorithm Actual Needs: To protect protected-area from Wildfire To provide Fire Danger Warning & To provide value-added Hotspot information to show critical Wildfire for Fire Control Agencies To mitigate damage caused by smoke To provide Smoke Forecasting
7 Organization Wildfire Monitoring WG Hotspot Information Provider Group Hotspot Information User Group Hotspot Information Validation Team Zone1 (Northern Mongolia) Zone2 (Central Indochina Peninsula) Zone3 (Southern Kalimantan) Zone4 (Australia) Soil Moisture Estimation Team Hotspot Detection Algorithm Improvement Team Fire Expansion Forecast Team
8 Hot Spot Information User Group as Country Bangladesh (Bangladesh Space Research and Remote Sensing Organization SPARRSO) Cambodia (Ministry of Land Management, Urban Planning and Construction, Geography Dept.) Lao P.D.R. (Science Technology and Environment Agency STEA) Mongolia (National Remote Sensing Center of Mongolia) Myanmar (Department of Meteorology and Hydrology) Philippines (National Mapping and Resource Information Authority NAMRIA) Sri Lanka (Survey Department of Sri Lanka) Vietnam (Institute of Physics & Electronics, Vietnamese A Academy of Science and Technology VAST)
9 Hot Spot Information Provider Group Agency or Institution Major Coverage Area Hokkaido University (JAPAN) Northern Asia Korean Aerospace Research Institute (Korea) Northern Asia KARI Asian Institute of Technology (Thailand) South-east Asia (AIT) Malaysian Center for Remote Sensing (Malaysia) South-east Asia (MACRES) Centre for Remote Imaging, Sensing (Singapore) South-east Asia Processing (CRISP) National Institute of Aeronautics and Space (Indonesia) South-east (LAPAN) Asia CSIRO Office of Space Science (Austraia) and Application (COSSA) Oceania
10 Fire Management Cycle Fire Warning (Fire Danger Warning) Early Fire Detection Forecasting Fire Expansion Early Fire Control Full Suppression Restoration of damaged forest Satellite Information
11 Task of Wild Fire Working Group in Fire Management Cycle Fire Warning (Fire Danger Warning) Soil Moisture Estimation using ALOS/PALSAR data by ALOS PI Group (JAXA, Tohoku Univ., Hokkaido Univ.) Early Fire Detection Forecasting Fire Expansion Early Fire Control Full Suppression Restoration of damaged forest
12 Conventional Fire Danger Index Canadian Forest Service Metrological Data Topographical Data Proposed New Algorithm L-band soil moisture condition ALOS Application
13 Task of Wild Fire Working Group in Fire Management Cycle Fire Warning (Fire Danger Warning) Early Fire Detection Hot Spot Detection Algorithm Validation Campaign using Ground Truth data incorporating User Group Hot Spot Detection Algorithm Improvement by Hokkaido Univ., Soul International Univ., CRISP Forecasting Fire Expansion Early Fire Control Full Suppression Restoration of damaged forest
14 Sentinel Asia (MODIS Wildfire Monitoring) Hokkaido Univ.(Japan) Satellite observation network AIT/Tokyo Univ. (Thailand) Wildfire Location Corps Location Base Location Map CRISP (Singapore) Overlaid Image Integration by Digital Asia Web-GIS interface (Keio Univ.) CSIRO (Australia) Wildfire map of Asia
15
16 Sentinel Asia Wild Fire Working Group Hot Spot Detection Algorithm Validation Campaign Oct.1-Oct.31 Oct.31 Comparison between results of detections by three MODIS Receiving Stations Comparison between ground truth data and hot spot data Comparison between NASA Algorithm and NEW Algorithm
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18 Process of validation of fire detection algorithm MODIS Level1B data Fire observation Report Perimeter hotspot pixels Perimeter of observed fire Comparison Hotspot and non-hotspot pixels with observation Validation Improvement of algorithm
19 Detection by ALOS Oct.7
20 ALOS AVNIR II Imagery
21 Zone Validation Campaign Zone 2 Zone 3 Zone 4
22 Task of Wild Fire Working Group in Fire Management Cycle Fire Warning (Fire Danger Warning) Early Fire Detection Forecasting Fire Expansion Fire Expansion Forecasting Smoke Forecasting by Application of real-time Volcano Plume Tracking (PUFF Model) by Tsukuba University Early Fire Control Full Suppression Restoration of damaged forest
23 Fire Expansion Simulation Result Real fire expansion Simulation result Fire expansion simulation for 24 hours. Black area is forecasted fire expansion area.
24 Fire Expansion Forecast
25 Task of Wild Fire Working Group in Fire Management Cycle Fire Warning (Fire Danger Warning) Early Fire Detection Forecasting Fire Expansion Early Fire Control Full Suppression Restoration of damaged forest
26 Fire Control Management East Siberia Kalimantan
27 シベリアタイガの生態系修復機構 Operational Goal of Sentinel Asia Wild Fire Control Initiative CH 4 CO2 Direct Seeding Disturbance Post Fire Process Early Regeneration Carbon Stock Categorizing regeneration pattern Sampling Index Plant of burn severity Characterization of Larch Growth New Method of Remediation
28 Sentinel Asia Wildfire Monitoring WG Milestones Sentinel Asia Disaster Management Support System (STEP2) APRSAF / JPT APRSAF-12 APRSAF-13 APRSAF-14 JPT#1 JPT#2 JPT#3 JPT# March in Singapore Information Sharing Platform Sentinel Asia System Sentinel Asia Operations Start Operation Emergency Observation by ALOS Wildfire Monitoring Validation Campaign and Algorithm Improvement Full Operation
29 The Most Recent Fire Activity
30 ALOS 10 FEB 2007
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