term (1985-2015) satellite observations Tomshin .. , Solovyev V.S. - - PowerPoint PPT Presentation

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International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems ENVIROMIS-2018 5-11 July 2018, Tomsk Detection of burnt areas in Yakutia and the analysis of forest fires events using

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International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems

ENVIROMIS-2018

5-11 July 2018, Tomsk

Tomshin О.А., Solovyev V.S.

Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy SB RAS, Yakutsk

Detection of burnt areas in Yakutia and the analysis of forest fires events using long- term (1985-2015) satellite observations

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Forest fires:

Cause severe damage to forest ecosystems
Pollute the atmosphere with combustion products
Reduce earth's surface albedo and affect the temperature

regime of soils Climate change can affect forest fires regime. Available satellite estimates of the burnt areas cover the period 2001- 2017 (MODIS). The aim is to map the burnt areas in Yakutia with satellite observations data (AVHRR) for the period 1985- 2015.

Motivation

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Data and Methods

Data:

MODIS (Terra/Aqua) → Burned Area MCD45 (500m) – 2001-2015
AVHRR (NOAA) → NDVI (0.08°), LAC images (1km) – 1985-2015

𝑶𝑬𝑾𝑱 = 𝑶𝑱𝑺 − 𝑾𝑱𝑻 𝑶𝑱𝑺 + 𝑾𝑱𝑻

NearIR (NIR) — albedo in near infrared spectral region VIS — albedo in visual spectral region

NOAA-18 14.08.2011 NOAA-19 08.08.2012

Burned area mapping algorithm NDVI for T and T-1 season

Algorithmic detection

f burned areas

Final evaluation by expert assessment

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Data and Methods

Verification with multispectral images and active fire’s hotspots

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Comparison with MODIS

RGB image

Sept. 2012

MODIS Product Final product after expert evaluation Algorithm results

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6 MODIS and AVHRR Burned Areas 2001-2015

0,0 1,0 2,0 3,0 2001 2003 2005 2007 2009 2011 2013 2015 Burned area, ×106 ha MODIS AVHRR

y = 1,0142x - 0,005 R² = 0,9421

0,0 0,5 1,0 1,5 2,0 2,5 0,0 0,5 1,0 1,5 2,0 2,5 MODIS, ×106 ha AVHRR, ×106 ha

R=0,97

Comparison with MODIS

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7 0,0 0,5 1,0 1,5 2,0 2,5 1985 1990 1995 2000 2005 2010 2015

Burned areas, ×106 ha

Results

Burned areas per 1000 ha, AVHRR 1985-2015 AVHRR Burned areas 1985-2015

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E = A B C D

А – burned area [m2]; B – density of the burned biomass [kg/m2]; C – proportion of biomass burned [%]; D – mass of the material ejected from the combustion of 1 kg of biomass [g/kg]; E – total emission.

* Seiler W., Crutzen P. J. Estimates of gross and net fluxes of carbon between the biosphere and atmosphere from biomass burning // Climate Change. 1980. V. 2. P. 207-247.

Emissions

2 4 6 8 10

1985 1990 1995 2000 2005 2010 2015 CO2 ×1013, PM10 ×1011, BC ×1010, g CO2 PM10 BC

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Summary

The algorithm for detecting the burned areas by comparison of inter-

seasonal changes of NDVI was developed and adapted to the conditions of forest fires in Yakutia (Eastern Siberia).

The results of fire scars detection with the adapted algorithm showed

good agreement with the MODIS data (2001-2015), R=0.97, which justifies the use of the algorithm for the entire AVHRR data set.

The summary map of the forest fire in Yakutia, plotted according to

AVHRR (1985-2015), shows the presence of two regions in central Yakutia with higher forest burning ratio (Leno-Vilyui interfluve and along the coast of Aldan).