| 个人简介 | |
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 Prof. Yosio Edemir Shimabukuro Divisão de Sensoriamento Remoto, Brazil |
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| 标题： Brazilian Amazon forest from space: monitoring systems using satellite images | |
| 摘要：
Amazonia is the greatest rain forest biome in our Planet, and the place where we can find the largest continuous extension of tropical forests still existing. In Brazilian Amazon, an accelerated process of anthropization of extense mass of forest began by the end of the 1960 decade, due to governmental policies intending to integrate the vast Amazonian territory in the country with roads, human settlements, and the resultant expansion of frontiers for agriculture and cattle farming. The Brazilian government has historically organized its policies for surveillance and control of the Brazilian Amazon forest through the use of space technology tools. In operational terms, it has been made possible because historical data provided by Landsat-series satellites through a methodological development in the extraction of information from images taken by sensors (MSS, TM, ETM+, OLI/Landsat) to map and monitor activities that convert forest typology into areas of agriculture and/or cattle farming.
In face of constant international pressure, the PRODES– Brazilian deforestation monitoring project (http://www.dpi.inpe.br/prodesdigital/) has been set up inside INPE (Brazilian National Institute for Space Research). However, PRODES information is obtained using low temporal resolution images from Landsat (16 days), and very often the government and environment-control agencies need to have an efficient and operational procedure, as close as possible to a real-time follow up, to monitor the rapid dynamics of deforestation activities. Thus, since data from MODIS/Terra and MODIS/Aqua sensors became available, with a temporal resolution of about two days for the Amazonian region, these products have been providing for a very big potential
of application in near-real-time monitoring of deforested areas. In this way, a new methodology has been developed through a project called DETER (Real-Time Detection of Deforestation, http://www.obt.inpe.br/deter/indexdeter).
This work presents an overview of the spatial distribution of deforestation and its dynamics in the Brazilian Amazonia, taking from a regular program of annual (Analogic PRODES and Digital PRODES) and monthly (DETER) monitoring of that immense territory through remote sensing. Information given about rates (since 1988) and spatial distribution (since 2000) of this forest conversion has been useful to characterize the magnitude and the directions of change, giving subsidies to those who make decision and helping them to direct public policies and make an adequate environmental governance of this key region of our Planet, most especially in areas considered to be hot spots, where anthropic pressure is greater.
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| 简介：
Yosio Edemir Shimabukuro possui Graduação em Engenharia Florestal pela Universidade Federal Rural do Rio de Janeiro (1972), Mestrado em Sensoriamento Remoto pelo Instituto Nacional de Pesquisas Espaciais (1977), Doutorado em Ciências Florestais / Sensoriamento Remoto pela Colorado State University (1987) e Pós-doutoramento pela NASA Goddard Space Flight Center (1993) nos Estados Unidos. Atualmente é Pesquisador Titular III na Divisão de Sensoriamento Remoto (DSR), Coordenação de Observação da Terra (OBT), do Instituto Nacional de Pesquisas Espaciais (INPE) e docente/orientador no Curso de Pós-graduação em Sensoriamento Remoto do INPE. Tem experiência na área de Recursos Florestais e Engenharia Florestal, com ênfase em Conservação da Natureza, atuando principalmente nos seguintes temas: Sensoriamento Remoto, Geoprocessamento, Engenharia Florestal e Ciências Ambientais. Desenvolveu o modelo linear de mistura espectral para dados de sensores remotos.
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