Forest Fire Management and Research in China
description
Transcript of Forest Fire Management and Research in China
Forest Fire Management and
Research in China
The Research Institution of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, CHINA
Prof. Yi Haoruo
Email: [email protected]
Tel: 86-10-62889161
1. Forest Fire Management
2. Forest Fire Research
3. Operation
OUTLINE
1.1 Forest Fire in China
1.2 Forest Fire Monitoring System
1.3 Organization Structure
1.4 Instruments
1. Forest Fire Management
Total Chinese Land Area: 9 600K sq.km
Forest Area: 2 080K sq.km
Forest Fire Management is a huge mission
for the government, community, and
researchers in China
(July 28,2002, Da Xing’anling, Inner Mongolia ) Damaged Forest Area: 13,800ha
1.1 Forest Fire in China
(May 17, 2003, Heihe, Heilongjiang province ) Burned Area:319,253ha, Damaged Forest Area:248,729 ha
1.1 Forest Fire in China
Number of Forest fire in China Times
1.1 Forest Fire in China
Annual Burned Area of Forest Fire
1.1 Forest Fire in China
1.2 Forest Fire Monitoring System
Fire WatchTower
Satellite
Airplane
Watch man Ground
Near GroundVideo
Airborne
SpaceFY
1.3 Organization Structure
National Forest Fire Prevention Headquarters
State Forestry Administration
National Forest Fire Prevention Office
Forest Fire Prevention Headquarters of Province
Armed Forest Police Headquarters
Aerial Forest Protection Center of Northeast
Coordination Center of Forest Fire Prevention
Aerial Forest Protection Center of Southwest
Coordination Center of Forest Fire Prevention of Southwest
Material Reserves Center of Beijing, Northeast and Southwest
Forest Fire Warning and Monitoring Information Center of SFA
Aerial Forest Protection Station
Forest Fire Prevention Office of Province
Forest Fire Prevention Office of City level
Forest Fire Prevention Office of City-level
Forest Fire Prevention Headquarters of County-level
Forest Fire Prevention Office of County-level
Forest Fire Company
Forest Fire Prevention Inspection Station
General of Heilongjiang, Inner Mongolia, Sichuan, Yunnan, etc.
Division
Group
Detachment
Sub-center of Forest Fire Monitoring using Satellite
Aerial Forest
Protection Station
1.3 Organization Structure
1.4 InstrumentsSatellite Received Station
FYAerial Forest Protection
(About 30 aerial forest protection Station)
1.4 Instruments
Ground
2.1 Forest Fire Risk Prediction
2.2 Forest Fire Monitoring
2.3 Burned Area Mapping
2.4 Carbon Emission Monitoring
2. Forest Fire Research
National/Regional-level prediction on forest fire risk To get the forest fuel types of China.
To get the method to estimate the Relative Greenness.
To get the method to estimate the Fuel Moisture Content.
To get the methodology of forest fire danger rating System.
Purpose
2.1 Forest Fire Risk Prediction
GIS
Prediction Models
Public NetworkSatellite-Data
Network
Meteorological Observation Data
Forecast Data
Results
Remote Sensing Data
Forest Distribution
AdministrativeBoundary
ObservationData on Fire
Danger
……
FTRG
FMS
FMC: Fuel Moisture Content
RG: Relative Greenness
FT: Fuel Type
The flowchart of Forest Fire Risk Prediction
2.1 Forest Fire Risk Prediction
Fuel Types
Spatial resolution: 1km 250m
Relative Greens, Spatial Resolution 1Km (2001,9.23~9.30)
Fuel Greenness Estimation
Spatial Resolution : 1KM (2001,9. 23~9.30)
Forest Fuel Moisture Content
Water absorb
Reflectivity – Waver Length
Method-validation & Results
Results
To detect burning in the vast forest areas
To mapping large fires for fire suppression
To monitor all phases of a fire in the key regions
To get the fire distribution pattern using satellite data
Purpose
2.2 Forest Fires Monitoring
2.2 Forest Fires Monitoring
Satellite DataNOAA-AVHRR Data (1.1km)
MODIS Data (1.0km)
ENVISAT-AATSR Data (1.1km)
TM/ETM+ (30m)
SPOT 5 (10m)
FY 3A/B (1.0 km)
HJ-1B (150M)
MIR TIR
MIR TIR
Fire Character of Channel High temperature; RadMIR> RadTIR
Results: Detecting the burning over Heilongjiang
province in northeast of China
Fire image, Heilongjiang, May 21~31, 2006
Results: monitoring all phases of a fire in the
key regions
Fire image, Inner Mongolia and Heilongjiang, 2006, Terra/MODIS
Results
May 22May 26
May 31May 30
HJ-1B IRS FY3A VIRR
Results: using various data from different sensor
April 29, 2009, ETM, Spatial Resolution:30meter
Fireline Extraction Results: mapping large fires for fire suppression
Fire Distribution PatternTo get the spatial and temporal distribution pattern
Fire Distribution Pattern
Annual total fire point by province, MODIS Data
Fire Distribution Pattern
Monthly total active fire counts belong to broadleaf forests for years 2000 - 2011
2.3 Burned Area Mapping
Purpose
To map burnt area borderline using
satellite image
To evaluate the damage by forest fires
Satellite Data
Image processing
Boundary Extracting
Maching, Overlay
Analysis
Burned Information Enhance
GIS Databases( Forest Map, DEM, etc.)
Damage
Burned Area
Burned 3D Visualize
Burned Forest Type
The flowchart of Burned Area Mapping
2.3 Burned Area Mapping
Field Picture
Pingxiang City, GuangXi
2.3 Burned Area Mapping
Burning After Deforestation
2.3 Burned Area Mapping
Field Picture
NOAA-AVHRR (1.1Km)
MODIS (250m)
ENVISAT-MERIS (300m)
FY 3A/B MERSI (250m)
HJ-1A/B CCD (30m)
CEBERS CCD (20m)
Satellite Data
2.3 Burned Area Mapping
Red: 0.71m (9)Green: 0.89 m(14)Blue: 0.51 m (4)
China
Russia
MERIS, Oct. 25,2005, Spatial resolution 300meter
Burned Area
Burned Mapping Results
CBERS-2B, March 17, 2008, Spatial resolution:20meter
Burned Mapping Results
HJ-1A CCD, Oct. 5, 2009
Burned Mapping Results
R=1
G=2
B=1
MODIS 8 Day Composition ( Sep. 14~ 21,2001)
Damage Assessment Results
Result of Red-NIR Space Change Vector Method
A
Damage Assessment Results
Damage Assessment Results
Burned Severity (2006.6.2~6.10,MODIS)
Damage Assessment Results
Damage Assessment Results
HJ 1A-CCD, Oct. 5, 2009.
Damage Assessment Results
To adapt a monitoring technique to carbon
emissions (CO/CO2) from forest fires by using
ENVISAT-SCIAMACHY images
2.4 Carbon Emission Monitoring
2.4 Carbon Emission Monitoring
Flowchart of Carbon Emission Estimation
CO column data product (v0.6)
CO2 column data product (v1.0)
Average CO column before Forest Fire
Average CO2 column before Forest Fire
SCI_NL_2PP*
CO column After Forest Fire
CO2 column After Forest Fire
CO Emission CO2 Emission
Interpret to (1º*1º) CO2 Emission
Interpret to (1º*1º) CO Emission
Biomass Burning EstimationTo get the Fire Radiative Energy (FRE) by Biomass Burning
FRE =fire duration.<FRP> =d. <FRP> = f(d, m, c, FRPmax, FRPmin)
Burned Biomass (g/m2)= k . FRE (J/m2) k≈368
Biomass Burning Estimation
September,2004
Results
September, 2004
Results
3. Operation
Forest Fire Weather Danger Prediction
3. OperationFire Monitoring Information
3. Operation
Thanks !