Carlos Di Bella Instituto de Clima y Agua (INTA)
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2 General Outline Fires in Argentina Fire Research at INTA Presenation of RedLaTIF network Presenation of SERENA network
3 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: km 2
4 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: km 2
5 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 Argentina: km 2
6 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 Argentina: km 2
7 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 Argentina: km 2
8 Fire Research at INTA Approach Continental Application Spatial Distribution Regional Local
9 Fire Research at INTA Approach Application Continental Temporal Evolution Regional Maranhao (Brazil) Fire density (fires/km 2 ) Local Date
10 Fire Research at INTA Approach Application Continental Regional Pre-Fire Veg. Condition Local
11 Fire Research at INTA Approach Application Continental Regional Post-Fire Veg. Condition Local
12 Fire Research at INTA Approach Application Continental Regional 100 Open Shrublands Fires day Drivers Local FFDI
13 Fire Research at INTA Approach Application Continental Regional Local Fire Risk
14 Fire Research at INTA Approach Application Continental Regional Local Fire Risk
15 Fire Research at INTA Approach Application Continental Regional Sev erity Local Fire Risk
16 Fire Research at INTA Approach Application Continental Regional Sev erity Local Fire Risk
17 Fire Research at INTA Approach Application Continental Regional Sev erity Local IND VIpre fire Fire Risk
18 Fire Research at INTA Approach Application Continental Regional Sev erity Local IND VIpre fire NDVI -post fire Fire Risk
19 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)
20 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 barreiro alonso universidade de vigo - departamento de informática escuela superior de ingeniería informática ingeniería del software de gestión 20 / 47
21 RedLaTIF presentation tema 2 - administración de proyectos PERSONS IN CONTACT Country Argentina Bolivia Brasil Chile Colombia Costa Rica EEUU España México Portugal Uruguay Venezuela Total Member's Number enrique barreiro alonso universidade de vigo - departamento de informática escuela superior de ingeniería informática ingeniería del software de gestión 21 / 47
22 RedLaTIF presentation tema 2 - administración de proyectos Meetings RESULTS November 2004: Chile November 2005: México September 2006: Colombia September 2007: Argentina Projects Publications Website 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 New Proyect SERENA enrique barreiro alonso universidade de vigo - departamento de informática escuela superior de ingeniería informática ingeniería del software de gestión 22 / 47
23 RedLaTIF presentation tema 2 - administración de proyectos Meetings RESULTS November 2004: Chile November 2005: México September 2006: Colombia September 2007: Argentina Projects Publications Website 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 New Proyect SERENA enrique barreiro alonso universidade de vigo - departamento de informática escuela superior de ingeniería informática ingeniería del software de gestión 23 / 47
24 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
25 SERENA presentation Reception Centers Principal reception centers (MODIS) Serena Member groups RedLaTIF participants
26 SERENA presentation Fire Danger Maps - INTA Experiences NDVI Based: Fire danger Index
27 SERENA presentation Fire Danger Maps - INPE Experiences Meteorological Stations Minimum relative humidity Satellite Information Estimated convective precipitation Via GOESS Maximum Temperature
28 SERENA presentation Fire Danger Maps - INPE Experiences
29 Conclusions Product of FDR for Latin America Uniform Accurate In real time Need for combining information from satellite remote sensing to the products of FDR Need for a local validation
30 Thank you Very Much!
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