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Hydrology / Environmental soil science / Physical geography / Water pollution / Environmental science / Geographic information system / Surface runoff / Hydrological modelling / Erosion / Earth / Water / Environment


Using GIS, Terrain Attributes and Hydrologic Models to Predict the Risk of Soil Erosion and Stream Water Deterioration Caused by Forest Roads
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Document Date: 2013-01-15 18:00:19


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City

Canberra / San Francisco / Bangkok / A GIS / Launceston / /

Company

Sodosols / Chromosols / Kurosols / Flanagan S.A. / SPSS / /

Country

Thailand / Iran / /

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Event

Environmental Issue / /

Facility

University of NSW / Quasi Stable / Murrumbidgee River Catchment / Moderately Stable / University of Gorgan / The Australian National University / /

IndustryTerm

forest road network / forest management systems / drainage systems / unsealed forest road networks / stream network / road networks / stream networks / evaluation applications / particle-tracking algorithm / unsealed road networks / forestry systems / natural and environmental systems / forest road systems / road drainage systems / road systems / forest road networks / /

NaturalFeature

Molonglo River / Australian forest / Forest Road Field Survey Field Data DEM DTM / /

Organization

US Department of Agriculture / Bureau of Meteorology / School of Resources / Australian National University / Canberra / USDA / Gorgan University / /

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Position

Governor / Major / General / /

ProgrammingLanguage

EC / /

ProvinceOrState

Tasmania / Capital Territory / California / Idaho / /

PublishedMedium

Earth Surface Processes and Landforms / /

Region

Southeastern Australia / /

Technology

GPS / particle-tracking algorithm / Simulation / /

URL

http /

SocialTag