80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
Birr - Identifying Critical Portions of the Landscape
1. Identifying Critical Portions of the Landscape for Water Quality Protection Using Terrain Attributes Jake Galzki, David Mulla, Joel Nelson Department of Soil, Water, and Climate University of Minnesota Adam Birr and Kevin Kuehner Minnesota Department of Agriculture
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3. Digital Terrain Analysis Overview Example Point Elevations with GPS DEM Terrain Attributes Spatial Interpolation Attribute Calculation
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6. Slope Blue Earth County Minnesota Beauford Sub-Watershed High Low
28. Courtesy of the Brown, Nicollet, Cottonwood Water Quality Board
29. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
30. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
31. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
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34. Stream Power Index One-Way ANOVA of mean values p = 4.3x10 -8 95% C.I. Field Verified Gully Random Point SPI
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Hinweis der Redaktion
Critical area = disproportionate flow/loads. Nothing new have used HEL for targeting purposes, etc but largely based on qualitative interpretations, this enables us to establish a standardized approach that can be quantified. Also identifies areas that may not be necessary to change management practices. Index not used for quantitative predictions but rather establish relative differences and aid in targeting and increase efficiency of limited conservation dollars.
This includes features such as gullies. It is believed that LIDAR data will eventually become available statewide over time.
![Terrain Analysis - DEM ,[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)