• Corpus ID: 17444237

Visualizing International Deforestation Trajectories Using ArcGIS

@inproceedings{Chamberlain2005VisualizingID,
  title={Visualizing International Deforestation Trajectories Using ArcGIS},
  author={Brent C. Chamberlain and Michael J. Meitner and Ryan Gandy},
  year={2005}
}
With the increase in permanent forest clearing, global deforestation is having a major impact on our finite resources. A growing public awareness of current forestry practices around the world is provoking people to question the management of these valuable forested regions. We will present a conceptual model that links visualizations and quantitative data to spatial locations over a range of time periods. This information will enable people from around the world to freely explore the forces… 
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References

SHOWING 1-10 OF 33 REFERENCES
Characterizing landscape changes in central Rondonia using Landsat TM imagery
An analysis of landscape changes in a region of pioneer settlements in central Rondonia, western Brazilian Amazon, was derived from Landsat TM data. Total deforested area increased from 206 x 103 ha
The multiple roles of environmental data visualization in evaluating alternative forest management strategies
Forest management decisions are often based on long-range projections of future forest conditions. These conditions and effects can be complex and difficult to understand for those not trained or
Reviewing the role of visualization in communicating and understanding forest complexity
TLDR
Issues of complexity raised by today's demand for sustainable forest management, and the potential of 3D visualization to address these issues are reviewed, drawing on past and current research on visualization effectiveness and validity.
Effects of Land-Use Change on Soil Nutrient Dynamics in Amazônia
Over the past several decades, the conversion of native forest to agricultural land uses has accelerated across the Amazon Basin. Despite a growing body of research on nutrient dynamics in Amazonian
Proximate Causes and Underlying Driving Forces of Tropical Deforestation
TLDR
Tropical deforestation is driven by identifiable regional patterns of causal factor synergies, of which the most prominent are economic factors, institutions, national policies, and remote influences driving agricultural expansion, wood extraction, and infrastructure extension (at the proximate level).
Global assessment of deforestation related to tobacco farming
TLDR
The hypothesis that deforestation from tobacco production does not have a significant negative effect has to be challenged and the globally significant pattern of estimated tobacco-related environmental damage ought to be included in international research agendas on global environmental change.
The relative importance of cattle grazing in subtropical grasslands: does it reduce or enhance plant biodiversity?
TLDR
For land managers to retain plant diversity on grazed landscapes, it would be desirable to provide all levels of grazing pressure across the landscape, including areas protected from livestock grazing, which would apply to all plant communities where both grazing increasers and decreasers are present.
Global Warming and Tropical Land-Use Change: Greenhouse Gas Emissions from Biomass Burning, Decomposition and Soils in Forest Conversion, Shifting Cultivation and Secondary Vegetation
Tropical forest conversion, shiftingcultivation and clearing of secondary vegetation makesignificant contributions to global emissions ofgreenhouse gases today, and have the potential forlarge
Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data
Airborne hyperspectral data were analyzed for the classification of 11 forest cover types, including pure and mixed stands of deciduous and conifer species. Selected bands from first difference
ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data
TLDR
A new methodology for automatic mapping from Landsat thematic mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed and tested, overcoming common limitations of back propagation.
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