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		<doi>10.1080/01431161.2010.519004</doi>
		<issn>0143-1161</issn>
		<label>lattes: 9191097222405687 5 LuBaMoHeAlBr:2011:FrFoCo</label>
		<citationkey>LuBaMoHeAlBr:2011:FrFoCo</citationkey>
		<title>Fractional forest cover mapping in the Brazilian Amazon with a combination of MODIS and TM images</title>
		<year>2011</year>
		<month>Nov.</month>
		<secondarytype>PRE PI</secondarytype>
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		<author>Lu, Dengsheng,</author>
		<author>Batistella, Mateus,</author>
		<author>Moran, Emilio,</author>
		<author>Hetrick, Scott,</author>
		<author>Alves, Diogenes Salas,</author>
		<author>Brondizio, Eduardo,</author>
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		<affiliation>Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405, United States</affiliation>
		<affiliation>Brazilian Agricultural Research Corporation, EMBRAPA Satellite Monitoring, Campinas, São Paulo, Brazil</affiliation>
		<affiliation>Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405, United States</affiliation>
		<affiliation>Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405, United States</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Bloomington, IN 47405, United States</affiliation>
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		<journal>International Journal of Remote Sensing</journal>
		<volume>32</volume>
		<number>22</number>
		<pages>7131-7149</pages>
		<secondarymark>B3_BIOTECNOLOGIA A1_CIÊNCIA_DA_COMPUTAÇÃO A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_GEOCIÊNCIAS A1_GEOGRAFIA A2_INTERDISCIPLINAR B1_ODONTOLOGIA A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_SAÚDE_COLETIVA</secondarymark>
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		<abstract>High deforestation rates in Amazonia have motivated considerable efforts to monitor forest changes with satellite images, but mapping forest distribution and monitoring change at a regional scale remain a challenge. This article proposes a new approach based on the integrated use of Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat Thematic Mapper (TM) images to rapidly map forest distribution in Rondônia, Brazil. The TM images are used to differentiate forest and non-forest areas and the MODIS images are used to extract three fraction images (vegetation, shade and soil) with linear spectral mixture analysis (LSMA). A regression model is built to calibrate the MODIS-derived forest results. This approach is applied to the MODIS image in 2004 and is then transferred to other MODIS images. Compared to INPE PRODES (Brazil's Instituto Nacional de Pesquisas Espaciais  Programme for the Estimation of Deforestation in the Brazilian Amazon) data, the errors for total forest area estimates in 2000, 2004 and 2006 are&#8201;&#8722;0.97%, 0.81% and&#8201;&#8722;1.92%, respectively. This research provides a promising approach for mapping fractional forest (proportion of forest cover area in a pixel) distribution at a regional scale. The major advantage is that this procedure can rapidly provide the spatial and temporal patterns of fractional forest cover distribution at a regional scale by the integrated use of MODIS images and a limited number of Landsat images.</abstract>
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		<language>en</language>
		<targetfile>fractionalforestIJRS2011.pdf</targetfile>
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