mapping burned scars in amazon region using modis data big bear lake, california, usa, 2011. andré...
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![Page 1: Mapping burned scars in Amazon region using MODIS data Big Bear Lake, California, USA, 2011. André Lima Yosio Edemir Shimabukuro Luiz Eduardo Aragão SCGIS](https://reader035.vdocuments.us/reader035/viewer/2022062421/56649e3f5503460f94b2f645/html5/thumbnails/1.jpg)
Mapping burned scars in Amazon region using MODIS data
Big Bear Lake, California, USA, 2011.
André LimaYosio Edemir ShimabukuroLuiz Eduardo Aragão
SCGIS 2011
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Context
It is estimated that 75% of Brazil's emissions of CO2 from forest fires (MCT, 2004)
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Context
It is estimated that 75% of Brazil's emissions of CO2 comes from forest fires (MCT, 2004);
According to Bowman et al. (2009) until 50% of GHG emissions in the world comes from forest fires.
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Context
It is estimated that 75% of Brazil's emissions of CO2 from forest fires (MCT, 2004);
According to Bowman et al. (2009) until 50% of GHG emissions comes from burning the globe;
There are not systematic regional mapping of burnt scars in the tropics (Giglio et. Al., 2010, Setzer et al., 2011).
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Justification
Need for data on fires in tropical forests to generate estimates of GHG emissions (IPCC, 2008).
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It is possible to map fire scars using MODIS data (250m) at a level of detail appropriate to the assessments of GHG emissions caused by burning.
Hipotese
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Objective
To develop methodology for mapping of burned scars using MODIS data – Surface Reflectance Daily (MOD09);
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Study Area
Amazonia Legal area 5.217.423 km², equivalent 61% Brazilian territory
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Study Area
Location General chateristics
Amazon Forest, the largest tropical biome of the world equivalent to 30% of remaining tropical forests;
High biodiversity;
Agriculture frontier, Deforestation, region called “Deforestation Arc”.
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Material and Methods Images Selection per Brazilian Federation Unit Based on hot spot active fire frequency distribution,
PROARCO Data (http://sigma.cptec.inpe.br/queimadas/) Acre
Amapa Maranhao
Mato Grosso Para
RoraimaRondonia
Amazonas
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Material and Methods
Images Selection in Rondonia State Based on hot spot active fire frequency distribution,
PROARCO Data (http://sigma.cptec.inpe.br/queimadas/)
January
February
March
April
May
June
July
August
September
October
November
December
Images correspond to months with higher occurrence of fire hotspots
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Material and Methods
Used images Surface Reflectance daily 250m (Mod09 product); Spectral Bands: 1 (Red), 2 (Near-infrared), 6* (Middle-infrared);
Total images used =105.
* Spatial resolution 500 m.
Images selected
Table 01. Images used to map burnt scars occurred in 2005
0202
02
02
03020503
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Spectral Linear Mixing Model (SLMM)– Decomposition (n) spectral bands in three fraction images.
Material and Methods
Vegetation Fraction
Soil Fraction
Shade Fraction
Shade Fraction – Targets with low reflectance are realced.
Water body
Burnt Scar
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Materiais e Métodos
Segmentation– Region algorithm– Threshold
Area = 4 (pixels)Similarity = 8 (digital number value variation)
Shade Fraction image Segmentation
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• Classification– Classification non-supervised
• Algorithm ISOSEG– Threshold 75% (probability)
Material Methods
Burnt scars boundary Burnt scar mapped
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Results
Burnt scars in 2005
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Results
Table 02. Burnt scars total area mapped in 2005 per State.
*Table 02. Estimates affected by the large cloud cover.
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Final Considerations
Useful methodology; Support for a future detection
burnt scars program in the Amazon (DETEQ);
Important source of data for emission models of Greenhouse Gases;
Validation in process.
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Obrigado.André Lima