The conference is aimed at dissemination of scientific research results, sharing of experience, improvement of foreign language and cross - cultural communication skills, and establishing of international contacts.
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Showing items 1 through 9 of 9.-
Library ResourceConference Papers & ReportsDecember, 2018Serbia, France, Lithuania, Turkey, Afghanistan, Azerbaijan, Belarus, Latvia, India, Kazakhstan, Romania, Czech Republic
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Library ResourceJournal Articles & BooksDecember, 2007United States of America, Japan, China, India, Russia
Much is reported about the destruction of natural forests and the consequences for global warming, while on the other hand, exotic plantations in some regions struggle to gain public acceptance. The earth's population is projected to rise to around 9 billion by 2050, with a concomitant increase in demand for forest products. Inevitably, forests in general, and managed forest in particular, will be called on to provide an ever-increasing proportion of local supplies and the international wood trade.
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Library ResourceJournal Articles & BooksDecember, 2009China, Spain, India, Brazil, New Zealand
Data from the 1990-1994 period presented in the "Brazil's Initial National Communication" document indicated that the country is one of the top world greenhouse gas (GHG) emitters. A large majority of Brazil's GHG emissions come from deforestation mainly of the Amazon biome for agriculture and livestock land uses. This unique inventory is now out of date.
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Library ResourceJournal Articles & BooksDecember, 2009China, Spain, India, Brazil, New Zealand
Data from the 1990-1994 period presented in the "Brazil's Initial National Communication" document indicated that the country is one of the top world greenhouse gas (GHG) emitters. A large majority of Brazil's GHG emissions come from deforestation mainly of the Amazon biome for agriculture and livestock land uses. This unique inventory is now out of date.
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Library ResourceConference Papers & ReportsDecember, 2011United States of America, Vietnam, Peru, Belarus, Australia, Kazakhstan, India, Russia, Republic of Korea, Malaysia, New Zealand
This paper discusses the economic implications of the preferential trade agreements that New Zealand is currently negotiating, using a computable general equilibrium modelling framework. The New Zealand dairy industry is a particular focus in the results, which come from the GTAP model produced by Purdue University.
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Library ResourceJournal Articles & BooksDecember, 2015Australia, Brazil, Canada, United States of America, India, Russia, China
Groundwater vulnerability assessment is an important task in water resources and land management. The most sophisticated among the vulnerability assessment techniques is the GIS-based DRASTIC model. However, despite its popularity, it is marred with excessive subjectivity glitches; little research has been conducted to address the shortcomings associated with this method. This study investigates various issues regarding the application of the GIS-based DRASTIC model through a critical review of relevant literatures.
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Library ResourceJournal Articles & BooksDecember, 2013South Africa, Uganda, China, India, Europe, Asia, Africa, Southern Africa
This special issue has presented some of the specific findings of the RE-Impact Project which was commissioned and funded by the EuropeAid Cooperation Office from 2007 until its conclusion in 2010. The project aimed to provide impact assessment frameworks and influence relevant policies through direct involvement in bioenergy projects and policy analysis in South Africa, Uganda, India and China. The papers summarised here have covered issues related to Jatropha curcas and forest-based bioenergy in these countries.
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Library ResourceJournal Articles & BooksDecember, 2013India, Brazil, China, United States of America, Europe
Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of land remote sensing satellites from USA, China, Brazil, India and Europe will produce in 1year as much data as 5 years of the Landsat-7 satellite. Thus, the research community needs new ways to analyze large data sets of remote sensing imagery. To address this need, this paper describes a toolbox for combing land remote sensing image analysis with data mining techniques.
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Library ResourceJournal Articles & BooksDecember, 2012India, Netherlands
A remote-sensing and geographical information sysytem (GIS)-based quantitative methodology for landslide-susceptibility zonation is described in a stepwise manner with its application in the Igo River Basin in the West Siang District of Arunachal Pradesh, Eastern Himalaya, India. Parameters such as geology, physiography, slope angle, slope length, slope aspect, slope type, generic landforms, lineament distance, road distance, drainage distance, altitudinal zones and land cover are used for landslide-susceptibility zonation.
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