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Forest Cover Changes in Tropical South and Central America from 1990 to 2005 and Related Carbon Emissions and Removals. Repositório Alice
EVA, H. D.; ACHARD, F.; BEUCHLE, R.; MIRANDA, E. E. de; CARBONI, S.; SELIGER, R.; VOLLMAR, M.; HOLLER, W. A.; OSHIRO, O. T.; ARROYO, V. B.; GALLEGO, J..
This paper outlines the methods and results for monitoring forest change and resulting carbon emissions for the 1990-2000 and 200-2005 periods carried out over tropical Central and South America. To produce our forest change estimates we used a systematic sample of medium resolution satellite data processed to forest change maps covering 1230 sites of 20 km by 20 km, each located at the degree confluence. Biomass data were spatially associated to each individual sample site so that annual carbon emissions could be estimated. For our study area we estimate that forest cover in the study area had fallen from 763 Mha (s.e. 10 Mha) in 1990 to 715 Mha (s.e. 10 Mha) in 2005. During the same period other wooded land (i.e., non-forest woody vegetation) had fallen...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Carbon emissions; Deforestation; Tropics; Remote sensing; Monitoring.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/handle/doc/924822
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Global tropical forest cover change assessment with medium spatial stellite imagery using a systematic sample grid - data, methods and first results. Repositório Alice
BEUCHLE, R.; EVA, H. D.; MIRANDA, E. E. de; HOLLER, W. A.; OSHIRO, O. T.; ACHARD, F..
At the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin America, Southeast Asia and Africa on the basis of over 4000 sample units sample units with a dimension of 20 km by 20 km located at every full latitude and longitude degree confluence. From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) instruments, images with low cloud impact from the epochs around the years 1990, 2000 and 2005 were selected and subsets covering the sample units were cut-out, pre-processed, segmented and classified in five different land cover classes in order to build global and regional statistics on tropical forest...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Tropical forest cover; Monitoring; Landsat; Object-based classification.
Ano: 2011 URL: http://www.alice.cnptia.embrapa.br/handle/doc/902317
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