Research Papers

Radiometric quality and performance of TIMESAT for smoothing moderate resolution imaging spectroradiometer enhanced vegetation index time series from western Bahia State, Brazil

[+] Author Affiliations
Elane F. Borges

Universidade de Brasília, Campus Universitário Darcy Ribeiro, CEP: 70919-970, Brasília/DF Brazil

Universidade Estadual de Feira de Santana, Av. Transnordestina, s/n, CEP: 44036-900, Feira de Santana/BA, Brazil

Edson E. Sano

Universidade de Brasília, Campus Universitário Darcy Ribeiro, CEP: 70919-970, Brasília/DF Brazil

Empresa Brasileira de Pesquisa Agropecuária, BR-020 km 18, CEP: 73301-970, Planaltina/DF, Brazil

Euzébio Medrado

Empresa Brasileira de Pesquisa Agropecuária, BR-020 km 18, CEP: 73301-970, Planaltina/DF, Brazil

J. Appl. Remote Sens. 8(1), 083580 (Aug 01, 2014). doi:10.1117/1.JRS.8.083580
History: Received November 21, 2013; Revised June 13, 2014; Accepted July 1, 2014
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Abstract.  The launch of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra and Aqua platforms in 1999 and 2002, respectively, with temporal resolutions of 1 to 2 days opened the possibility of using a longtime series of satellite images to map land use and land cover classes from different regions of the Earth, to study vegetation phenology, and to monitor regional and global climate change, among other applications. The main objectives of this study were twofold: to analyze the radiometric quality of the time series of enhanced vegetation index (EVI) products derived from the Terra MODIS sensor in western Bahia State, Brazil, and to identify the most appropriate filter to smooth MODIS EVI time series of the study area among those available in the public domain, the TIMESAT algorithm. The 2000 to 2011 time period was considered (a total of 276 scenes). The radiometric quality was analyzed based on the pixel reliability data set available in the MOD13Q1 product. The performances of the three smoothing filters available within TIMESAT (double logistic, Savitzky-Golay, and asymmetric Gaussian) were analyzed using the Graybill’s F test and Willmott statistics. Five percent of the MODIS pixels from the study area were cloud-affected, almost all of which were from the rainy season. The double logistic filter presented the best performance.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Elane F. Borges ; Edson E. Sano and Euzébio Medrado
"Radiometric quality and performance of TIMESAT for smoothing moderate resolution imaging spectroradiometer enhanced vegetation index time series from western Bahia State, Brazil", J. Appl. Remote Sens. 8(1), 083580 (Aug 01, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083580


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