© Carlos Di Bella Instituto de Clima y Agua (INTA)

© Carlos Di Bella
Instituto de Clima y Agua (INTA)
General Outline
Fires in Argentina
Fire Research at INTA
Presenation of RedLaTIF network
Presenation of SERENA network
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fires in Argentina
In Argentina we have
great variability in
climates and vegetation
types. (clk) From North to
south, fire occurrence is
strongly Influenced by
climatic conditions and
human activities, (clk)
principally agricultural
expansion.
Mean annual fire (clk)
distributions are
principally concentrated
at mid-north latitudes
Argentina: 2.791.810 km2
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fires in Argentina
In Argentina we have
great variability in
climates and vegetation
types. (clk) From North to
south, fire occurrence is
strongly Influenced by
climatic conditions and
human activities, (clk)
principally agricultural
expansion.
Mean annual fire (clk)
distributions are
principally concentrated
at mid-north latitudes
Mean Fires
2004
Argentina: 2.791.810 km2
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fires in Argentina
In Argentina we have
great variability in
climates and vegetation
types. (clk) From North to
south, fire occurrence is
strongly Influenced by
climatic conditions and
human activities, (clk)
principally agricultural
expansion.
Mean annual fire (clk)
distributions are
principally concentrated
at mid-north latitudes
Mean Fires
2004
2005
Argentina: 2.791.810 km2
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fires in Argentina
In Argentina we have
great variability in
climates and vegetation
types. (clk) From North to
south, fire occurrence is
strongly Influenced by
climatic conditions and
human activities, (clk)
principally agricultural
expansion.
Mean annual fire (clk)
distributions are
principally concentrated
at mid-north latitudes
Mean Fires
2004
2005
2006
Argentina: 2.791.810 km2
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fires in Argentina
In Argentina we have
great variability in
climates and vegetation
types. (clk) From North to
south, fire occurrence is
strongly Influenced by
climatic conditions and
human activities, (clk)
principally agricultural
expansion.
Mean annual fire (clk)
distributions are
principally concentrated
at mid-north latitudes
Mean Fires
2004
2005
2006
2007
Argentina: 2.791.810 km2
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Research at INTA
Approach
Continental
Regional
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Application
Spatial
Distribution
Fire Research at INTA
Application
Approach
Continental
Temporal
Evolution
Regional
300
200
100
Date
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
1401
1201
1800
110
-0
0
112
-0
0
1600
1400
0
1200
Local
400
1899
110
-9
9
112
-9
9
Fire density (fires/km 2)
Maranhao (Brazil)
Fire Research at INTA
Approach
Application
Continental
Pre-Fire
Veg. Condition
Regional
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Research at INTA
Approach
Application
Continental
Regional
Post-Fire
Veg. Condition
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Research at INTA
Application
Approach
Continental
Regional
Fires day
-1
100
Local
Open Shrublands
10
1
Drivers
0.1
0.01
1
10
FFDI
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
100
Fire Research at INTA
Approach
Application
Continental
Regional
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Risk
Fire Research at INTA
Approach
Application
Continental
Regional
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Risk
Fire Research at INTA
Application
Approach
Continental
Regional
Sev
erity
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Risk
Fire Research at INTA
Application
Approach
Continental
Regional
Sev
erity
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Fire Risk
Fire Research at INTA
Application
Approach
Continental
Regional
Sev
erity
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
IND
VIpre
fire
Fire Risk
Fire Research at INTA
Application
Approach
Continental
Regional
Sev
erity
Local
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
IND
VIpre
fire
NDVI
-post
fire
Fire Risk
RedLaTIF presentation
Red Latinoamericana de Teledetección Incendios Forestales
RedLaTIF is the Latin-American regional network of the
GOFC/GOLD-Fire (Global Observations of Forest and Land Cover
Dynamics) program
Initially focused on fire issues (open to other topics)
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
RedLaTIF presentation
tema 2 - administración de proyectos
GOALS
Compile a list of Latinamerican experts
working on remote sensing and forest fires
Foster the participation of Latinamerican
scientist in global networks related
to the GOFC/GOLD-Fire program
Generate thematic networks
for participation in fire-related projects
within the Latinamerican region
© enrique
© Carlos
Di Bella
barreiro alonso
- departamento de informática
universidade
vigo
Instituto
de Clima y Aguade
(INTA)
escuela superior de ingeniería informática
ingeniería del software de gestión
20 / 47
RedLaTIF presentation
tema 2 - administración de proyectos
PERSONS IN CONTACT
© enrique
© Carlos
Di Bella
Country
Member's Number
Argentina
Bolivia
Brasil
Chile
Colombia
Costa Rica
EEUU
España
México
Portugal
Uruguay
Venezuela
Total
7
14
12
5
9
2
1
4
9
1
2
4
75
barreiro alonso
- departamento de informática
universidade
vigo
Instituto
de Clima y Aguade
(INTA)
escuela superior de ingeniería informática
ingeniería del software de gestión
21 / 47
RedLaTIF presentation
tema 2 - administración de proyectos
RESULTS
November 2004: Chile
November 2005: México
Meetings
September 2006: Colombia
September 2007: Argentina
Projects
Publications
AQL2004: Generation of a monthly burned-land map
of Latinamerica
Chuvieco, E.; S. Opazo, W. Sione, H. del Valle, J. Anaya, C. Di Bella,
Cruz, L. Manzo, J. Karpandegui, N. Mari, F. González, G. López, F.
Morelli, A. Setzer, I. Csiszar and A. Bastarrika (2007). Global Burned
Land Estimation in Latin America using MODIS Composite Data .
Accepted Ecological Applications
Website
New Proyect
© enrique
© Carlos
Di Bella
barreiro alonso
- departamento de informática
universidade
vigo
Instituto
de Clima y Aguade
(INTA)
http://www.fuego.org.ar/redlatif/index.html
SERENA
escuela superior de ingeniería informática
ingeniería del software de gestión
22 / 47
RedLaTIF presentation
tema 2 - administración de proyectos
RESULTS
November 2004: Chile
November 2005: México
Meetings
September 2006: Colombia
September 2007: Argentina
Projects
Publications
AQL2004: Generation of a monthly burned-land map
of Latinamerica
Chuvieco, E.; S. Opazo, W. Sione, H. del Valle, J. Anaya, C. Di Bella,
Cruz, L. Manzo, J. Karpandegui, N. Mari, F. González, G. López, F.
Morelli, A. Setzer, I. Csiszar and A. Bastarrika (2007). Global Burned
Land Estimation in Latin America using MODIS Composite Data .
Accepted Ecological Applications
Website
New Proyect
© enrique
© Carlos
Di Bella
barreiro alonso
- departamento de informática
universidade
vigo
Instituto
de Clima y Aguade
(INTA)
http://www.fuego.org.ar/redlatif/index.html
SERENA
escuela superior de ingeniería informática
ingeniería del software de gestión
23 / 47
SERENA presentation
What is Serena?
• SERENA is the Latin-American network of study and monitoring of natural
resources.
History:
• SERENA was created as part of the RedlaTIF network, and it is totally founded
by the CYTED program, with more than 13 Latin-American participant countries.
Principal goals:
• Design and development of a continental processing system, using remote
sensing and ancillary information, for:
• Fire detection
• Burned area quantification
• Fire risk estimation
• Local validation
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
SERENA presentation
Reception Centers
Principal reception centers (MODIS)
Serena Member groups
RedLaTIF participants
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
SERENA presentation
Fire Danger Maps - INTA Experiences
NDVI Based: Fire danger Index
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
SERENA presentation
Fire Danger Maps - INPE Experiences
Meteorological
Stations
Minimum relative humidity
Maximum Temperature
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Satellite
Information
Estimated convective precipitation
Via GOESS
SERENA presentation
Fire Danger Maps - INPE Experiences
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Conclusions
™ Product of FDR for Latin America
¾
Uniform
¾
Accurate
¾
In real time
™ Need for combining information from satellite remote sensing to the
products of FDR
™ Need for a local validation
© Carlos Di Bella
Instituto de Clima y Agua (INTA)
Thank you Very Much!
© Carlos Di Bella
Instituto de Clima y Agua (INTA)