Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS

Abstract The ephemeral character of the radiative signal together with the presence of aerosols imposes severe limitations on the use of classical approaches, e.g. based on red and near-infrared, to discriminate between burned and unburned surfaces in tropical environments. Surface reflectance in the middle-infrared (MIR) has been used to circumvent these difficulties because the signal is virtually unaffected by the presence of aerosols associated to biomass burning. Retrieval of the MIR reflected component from the total signal is, however, a difficult problem because of the presence of a diversity of radiance sources, namely the surface reflected solar irradiance and the surface emitted radiance that may reach comparable magnitude during daytime. The method proposed by Kaufman and Remer (1994) to retrieve surface MIR reflectance presents the advantage of not requiring auxiliary datasets (e.g. atmospheric profiles) nor major computational means (e.g. for solving radiative transfer models). Nevertheless, the method was specifically designed to retrieve MIR reflectance over dense dark forests in the middle latitudes and, as shown in the present study, severe problems may arise when applying it beyond the range of validity, namely for burned area mapping in tropical environments. The present study consists of an assessment of the performance of the method for a wide range of atmospheric, geometric and surface conditions and of the usefulness of extracted surface reflectances for burned area discrimination. Results show that, in the case of tropical environments, there is a significant decrease in performance of the method for high values of land surface temperature, especially when associated with low sun elevation angles. Burned area discrimination is virtually impaired in such conditions, which are often present when using data from instruments on-board polar orbiters, namely MODIS in Aqua and Terra, to map burned surfaces over the Amazon forest and “cerrado” savanna regions.

[1]  C. Nobre,et al.  Overview of atmospheric conditions during the Smoke, Clouds, and Radiation-Brazil (SCAR-B) field experiment , 1998 .

[2]  José M. C. Pereira,et al.  A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping , 1999, IEEE Trans. Geosci. Remote. Sens..

[3]  Giles M. Foody,et al.  The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 mu m) , 1999 .

[4]  Kalifa Goita,et al.  Surface temperature and emissivity separability over land surface from combined TIR and SWIR AVHRR data , 1997, IEEE Trans. Geosci. Remote. Sens..

[5]  A. Setzer,et al.  AVHRR analysis of a savanna site through a fire season in Brazil , 2001 .

[6]  P. Barbosa,et al.  An Algorithm for Extracting Burned Areas from Time Series of AVHRR GAC Data Applied at a Continental Scale , 1999 .

[7]  Doreen S. Boyd,et al.  Use of middle infrared radiation to estimate the leaf area index of a boreal forest. , 2000, Tree physiology.

[8]  R. Ottmar,et al.  Smoke Impacts from Agricultural Burning in a Rural Brazilian Town , 2001, Journal of the Air & Waste Management Association.

[9]  Igor V. Florinsky,et al.  Influence of topography on landscape radiation temperature distribution , 1994 .

[10]  J.B. Schutt,et al.  Estimation of emittances and surface temperatures from avhrr data , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[11]  J. Hansen,et al.  Climate Effects of Black Carbon Aerosols in China and India , 2002, Science.

[12]  Ghassem R. Asrar,et al.  Theory and applications of optical remote sensing. , 1989 .

[13]  E. Vermote,et al.  Aerosol retrieval over land from AVHRR data-application for atmospheric correction , 1992, IEEE Trans. Geosci. Remote. Sens..

[14]  D. Roy,et al.  Fire‐induced albedo change and its radiative forcing at the surface in northern Australia , 2005 .

[15]  Françoise Nerry,et al.  Bidirectional Reflectivity in AVHRR Channel 3 , 1998 .

[16]  E. Prins,et al.  An overview of GOES‐8 diurnal fire and smoke results for SCAR‐B and 1995 fire season in South America , 1998 .

[17]  D. Koch,et al.  Sources and Transport of Urban and Biomass Burning Aerosol Black Carbon at the South–West Atlantic Coast , 2007 .

[18]  R. Korobov,et al.  Canonical correlation relationships among spectral and phytometric variables for twenty winter wheat fields , 1993 .

[19]  Geng-Ming Jiang,et al.  Land surface emissivity retrieval from combined mid-infrared and thermal infrared data of MSG-SEVIRI , 2006 .

[20]  R. Fraser,et al.  The Relative Importance of Aerosol Scattering and Absorption in Remote Sensing , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[21]  D. Boyd,et al.  Exploring spatial and temporal variation in middle infrared reflectance (at 3.75 @m) measured from the tropical forests of west Africa , 2001 .

[22]  E. Vermote,et al.  A Method to Retrieve the Reflectivity Signature at 3.75 μm from AVHRR Data , 1998 .

[23]  Z. Li,et al.  Feasibility of land surface temperature and emissivity determination from AVHRR data , 1993 .

[24]  D. Rosenfeld TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall , 1999 .

[25]  J. Pereira Remote sensing of burned areas in tropical savannas , 2003 .

[26]  Eric F. Lambin,et al.  Land-use and land-cover change : local processes and global impacts , 2010 .

[27]  Z. Wan MODIS Land-Surface Temperature Algorithm Theoretical Basis Document (LST ATBD) , 1999 .

[28]  C. DaCamara,et al.  Land surface temperature and emissivity estimation based on the two-temperature method: sensitivity analysis using simulated MSG/SEVIRI data , 2004 .

[29]  Alberto Setzer,et al.  AVHRR analysis of a savanna site through a fire season in Brazil , 2001 .

[30]  S. Running,et al.  Simulated impacts of historical land cover changes on global climate in northern winter , 2000 .

[31]  Christine A. O'Neill,et al.  Effects of Aerosol from Biomass Burning on the Global Radiation Budget , 1992, Science.

[32]  Ilan Koren,et al.  Measurement of the Effect of Amazon Smoke on Inhibition of Cloud Formation , 2004, Science.

[33]  J. Luvall,et al.  Thermal remote sensing methods in landscape ecology , 1991 .

[34]  José A. Sobrino,et al.  Thermal remote sensing of land surface temperature from satellites: Current status and future prospects , 1995 .

[35]  Lorraine Remer,et al.  Detection of forests using mid-IR reflectance: an application for aerosol studies , 1994, IEEE Trans. Geosci. Remote. Sens..

[36]  A. Setzer,et al.  AVHRR temporal analysis of a savanna site in Brazil , 1998 .

[37]  D. Roy Multi-temporal active-fire based burn scar detection algorithm , 1999 .

[38]  S. Running,et al.  Developing Satellite-derived Estimates of Surface Moisture Status , 1993 .

[39]  R. Betts,et al.  The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[40]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[41]  W. Duane,et al.  Exploring spatial and temporal variation in middle infrared reflectance (at 3.75 @m) measured from the tropical forests of west Africa , 2001 .

[42]  S. Hook,et al.  The ASTER spectral library version 2.0 , 2009 .

[43]  R. Trigo,et al.  Global fire activity patterns (1996–2006) and climatic influence: an analysis using the World Fire Atlas , 2007 .

[44]  J. Chena,et al.  Systematic corrections of AVHRR image composites for temporal studies , 2004 .

[45]  G. J. Collatz,et al.  Comparison of Radiative and Physiological Effects of Doubled Atmospheric CO2 on Climate , 1996, Science.

[46]  B. Holben,et al.  Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors , 1993 .

[47]  Brent N. Holben,et al.  Fraction images derived from NOAA AVHRR data for studying the deforestation in the Brazilian Amazon , 1994 .

[48]  P. Crutzen,et al.  Biomass Burning in the Tropics: Impact on Atmospheric Chemistry and Biogeochemical Cycles , 1990, Science.

[49]  J. C. Price,et al.  Remote sensing in the thermal infrared , 1986 .

[50]  Mei Zhao,et al.  The impact of land cover change on the atmospheric circulation , 2001 .

[51]  François Petitcolin,et al.  Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data , 2002 .

[52]  J. Salisbury,et al.  Emissivity of terrestrial materials in the 3–5 μm atmospheric window☆ , 1992 .

[53]  G. Gesell,et al.  An algorithm for snow and ice detection using AVHRR data An extension to the APOLLO software package , 1989 .