Validação do balanço de radiação obtido a partir de dados MODIS/TERRA na Amazônia com medidas de superfície do LBA

This study aims to estimate the components of net radiation in two regions located in the state of Rondonia (southwest of the Brazilian Amazon), using Moderate Resolution Imaging Spectroradiometer (MODIS/TERRA) data based on Surface Energy Balance Algorithms for Land (SEBAL) model, and to validate the results with information acquired by the micrometeorological towers of LBA under the conditions of pasture (Fazenda Nossa Senhora Aparecida) and forest (Reserva Biologica do Jaru). Implementation of SEBAL model was performed directly on the MODIS data and included steps involving the computation of vegetation indices, albedo and atmospheric transmittance. Comparison between estimates from MODIS data and the observations showed relative errors for the condition of pasture between 0.2 and 19.2%, and for the condition of forest ranging between 0.8 and 15.6%. The integration of data at different scales was a useful proposition for the estimation and spatialization of the radiation fluxes in the Amazon region, which may contribute to a better understanding of the interaction between Amazon rainforest and atmosphere, and generate input information needed to the surface models coupled to atmospheric general circulation models.

[1]  A. Arneth,et al.  Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation , 2010 .

[2]  Albedo da cultura da soja em área de avanço da fronteira agrícola na Amazônia , 2010 .

[3]  Xavier Fettweis,et al.  The 1979–2005 Greenland ice sheet melt extent from passive microwave data using an improved version of the melt retrieval XPGR algorithm , 2007 .

[4]  O. C. Rotunno Filho,et al.  A comparison of experimental energy balance components data and SEBAL model results in Dourados, Brazil , 2011 .

[5]  M. G. Hodnett,et al.  The Albedo of Amazonian Forest and Ranch Land , 1995 .

[6]  A. Manzi,et al.  Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images , 2011 .

[7]  R. Schowengerdt,et al.  Early results on the characterization of the Terra MODIS spatial response , 2002 .

[8]  Luiz Eduardo Oliveira E. Cruz de Aragão,et al.  A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas , 2012, Remote. Sens..

[9]  Eva Boegh,et al.  Evaluating evapotranspiration rates and surface conditions using Landsat TM to estimate atmospheric resistance and surface resistance , 2002 .

[10]  P. P. Harris,et al.  Amazonian climate: results and future research , 2004 .

[11]  Paulo Artaxo,et al.  Break down boundaries in climate research , 2012, Nature.

[12]  C. Nobre,et al.  Mudanças climáticas e Amazônia , 2007 .

[13]  Andreas Marx,et al.  Uncertainty analysis for satellite derived sensible heat fluxes and scintillometer measurements over Savannah environment and comparison to mesoscale meteorological simulation results , 2008 .

[14]  Luke J. Marzen,et al.  Validation of evaporation estimates from a modified surface energy balance algorithm for land (SEBAL) model in the south-eastern United States , 2012 .

[15]  Pedro Vieira de Azevedo,et al.  BALANÇO DE RADIAÇÃO EM ÁREAS IRRIGADAS UTILIZANDO IMAGENS LANDSAT 5 - TM , 2005 .

[16]  Bernardo Barbosa da Silva,et al.  Mapeamento do saldo de radiação com imagens Landsat 5 e modelo de elevação digital , 2008 .

[17]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[18]  Manoel Cardoso,et al.  Regional climate change over eastern Amazonia caused by pasture and soybean cropland expansion , 2007 .

[19]  S. H. Franchito,et al.  Effects of biomass burning in Amazonia on climate: A numerical experiment with a statistical‐dynamical model , 2004 .

[20]  W. Bastiaanssen.  Regionalization of surface flux densities and moisture indicators in composite terrain. A remote sensing approach under clear skies in Mediterranean climates. , 1995 .

[21]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[22]  S. Liang.  Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[23]  Gilberto Câmara,et al.  Long-term potential for tropical-forest degradation due to deforestation and fires in the Brazilian Amazon , 2009, Biologia.

[24]  BALANÇO DE RADIAÇÃO NO PERÍMETRO IRRIGADO SÃO GONÇALO - PB MEDIANTE IMAGENS ORBITAIS , 2011 .

[25]  M. Hodnett,et al.  Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia , 2004 .

[26]  John H. C. Gash,et al.  Amazonian deforestation and climate , 1997 .

[27]  Ailton Marcolino Liberato.  Estimativa do Albedo e Índice de Área Foliar na Amazônia , 2011 .

[28]  Fernando Luiz Cardoso,et al.  Estimativa do Índice de Área Foliar (IAF) e Biomassa em pastagem no estado de Rondônia, Brasil , 2009 .

[29]  Bernardo Barbosa da Silva,et al.  Downward longwave radiation estimates for clear-sky conditions over northeast Brazil , 2011 .

[30]  A. Huete.  A soil-adjusted vegetation index (SAVI) , 1988 .

[31]  F. Roesler,et al.  Data-model comparison search analysis of coincident PBO Balmer α, EURD Lyman β geocoronal measurements from March 2000 , 2004 .

[32]  J. Tenhunen,et al.  On the relationship of NDVI with leaf area index in a deciduous forest site , 2005 .