Analysis and Assessment of the Spatial and Temporal Distribution of Burned Areas in the Amazon Forest
暂无分享,去创建一个
Yosio Edemir Shimabukuro | Gabriel Pereira | Elisabete Caria Moraes | Francielle da Silva Cardozo | Y. Shimabukuro | G. Pereira | F. S. Cardozo | E. Moraes | F. Cardozo
[1] H. Eva,et al. Remote Sensing of Biomass Burning in Tropical Regions: Sampling Issues and Multisensor Approach , 1998 .
[2] C. O. Justicea,et al. The MODIS fire products , 2002 .
[3] Manoel Cardoso,et al. Regional climate change over eastern Amazonia caused by pasture and soybean cropland expansion , 2007 .
[4] Wenjun Chen,et al. A semi-automatic segmentation procedure for feature extraction in remotely sensed imagery , 2005, Comput. Geosci..
[5] F. S. Recuero,et al. Monitoring the transport of biomass burning emissions in South America , 2002 .
[6] Ajit Subramaniam,et al. Causes and impacts of the 2005 Amazon drought , 2008 .
[7] 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..
[8] Kevin C. Ryan,et al. Fire and fire ecology: Concepts and principles , 2009 .
[9] Yosio Edemir Shimabukuro,et al. The least-squares mixing models to generate fraction images derived from remote sensing multispectral data , 1991, IEEE Trans. Geosci. Remote. Sens..
[10] David P. Roy,et al. Remote sensing of fire severity: assessing the performance of the normalized burn ratio , 2006, IEEE Geoscience and Remote Sensing Letters.
[11] Nandamudi Lankalapalli Vijaykumar,et al. A Multi-Resolution Multi-Temporal Technique for Detecting and Mapping Deforestation in the Brazilian Amazon Rainforest , 2011, Remote. Sens..
[12] S. Flasse,et al. Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary , 2004 .
[13] Ciro Abbud Righi,et al. Biomass and greenhouse-gas emissions from land-use change in Brazil's Amazonian “arc of deforestation”: The states of Mato Grosso and Rondônia , 2009 .
[14] Y. Shimabukuro,et al. Mapping burned areas in Mediterranean countries using spectral mixture analysis from a uni‐temporal perspective , 2006 .
[15] Stuart E. Marsh,et al. Broad-Scale Environmental Conditions Responsible for Post-Fire Vegetation Dynamics , 2010, Remote. Sens..
[16] R. Stuhlmann,et al. Effects of burning of biomass on satellite estimations of solar irradiation in Brazil , 2000 .
[17] C. Nobre,et al. Long-term potential for fires in estimates of the occurrence of savannas in the tropics , 2008 .
[18] S. Plummer,et al. Burnt area detection at global scale using ATSR‐2: The GLOBSCAR products and their qualification , 2004 .
[19] E. Chuvieco,et al. Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence , 2013 .
[20] R. Weiss,et al. Rapid growth of hydrofluorocarbon 134a and hydrochlorofluorocarbons 141b, 142b, and 22 from Advanced Global Atmospheric Gases Experiment (AGAGE) observations at Cape Grim, Tasmania, and Mace Head, Ireland , 2004 .
[21] D. Roy,et al. The MODIS fire products , 2002 .
[22] O. Phillips,et al. The 2010 Amazon Drought , 2011, Science.
[23] Ana C. L. Sá,et al. Comparison of burned area estimates derived from SPOT-VEGETATION and Landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type , 2005 .
[24] F. Achard,et al. NOAA-AVHRR Based Tropical Forest Mapping for South-East Asia, Validated and Calibrated with Higher Spatial Resolution Imagery , 1996 .
[25] D. Roy,et al. Burned area mapping using multi-temporal moderate spatial resolution data—a bi-directional reflectance model-based expectation approach , 2002 .
[26] A. Smith,et al. Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS , 2007 .
[27] J. Randerson,et al. Global estimation of burned area using MODIS active fire observations , 2005 .
[28] David P. Roy,et al. Southern Africa Validation of the MODIS, L3JRC, and GlobCarbon Burned-Area Products , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[29] D. Roy,et al. The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product , 2008 .
[30] Javier Gallego,et al. A sampling method for the retrospective validation of global burned area products , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[31] D. Nychka,et al. Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis , 2007 .
[32] J. Kendall,et al. A multi-year active fire dataset for the tropics derived from the TRMM VIRS , 2003 .
[33] C. Nobre,et al. The Drought of Amazonia in 2005 , 2008 .
[34] J. Townshend,et al. Detection of land cover changes using MODIS 250 m data , 2002 .
[35] A. S. Belward,et al. Advances in the Use of NOAA AVHRR Data for Land Applications , 1996 .
[36] T. Loboda,et al. Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data , 2007 .
[37] F. Gonzalez-Alonso,et al. Modis reflectance and active fire data for burn mapping and assessment at regional level , 2010 .
[38] J. Grégoire,et al. The GBA2000 initiative: Developing a global burnt area database from SPOT-VEGETATION imagery , 2003 .
[39] C. Justice,et al. Characterizing Vegetation Fire Dynamics in Brazil through Multisatellite Data: Common Trends and Practical Issues , 2005 .
[40] Philippe Ciais,et al. Ten years of global burned area products from spaceborne remote sensing - A review: Analysis of user needs and recommendations for future developments , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[41] J. Randerson,et al. Interannual variability in global biomass burning emissions from 1997 to 2004 , 2006 .
[42] P. Laris. Spatiotemporal problems with detecting and mapping mosaic fire regimes with coarse-resolution satellite data in savanna environments , 2005 .