DOC PREVIEW
WOU ES 473 - Lecture Notes

This preview shows page 1-2-3-4-5 out of 15 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 15 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Upper KlamathLake DrainageNorth Fork Sprague RiverUpper Klamath Lake Drainage LandCover AssessmentMethodologySlide 1-15Land Cover Assessment MethodologyStep 1. Land cover polygons and stream polylines are digitized from 1998 color aerialphotos. All digitized polygons are drawn to capture visually like land cover features. Alldigitized line work is completed at 1:5,000 or less.Step 2. Basic land cover types are developed and assigned to individual polygons. Theland cover types used in this effort are aggregate land cover groups, such as: conifers,hardwoods, shrubs, etc.Step 3. Through simple assumptions regarding land cover succession and by examiningland cover types adjacent to major anthropogenic disturbance areas (i.e. clearcuts, roads,cultivated fields, etc.), it is possible to develop a rule set that can be used to estimatepotential land cover conditions. For example, small conifers are assumed to have thepotential to become large conifers. A high and low range is developed in areas whereuncertainty remains about land cover succession or the potential for recovery.Step 4. Automated sampling is conducted on classified land cover spatial data sets in 2-dimensions. Every 100 feet along the stream (i.e. in the longitudinal direction), bothstream banks are sampled every 15 feet, starting at the channel edge, out to 135 feet.This sampling rate results in 950 measurements of land cover per every mile of stream.Step 5. Ground level land cover data is statistically summarized and sorted by land covertype. Median values for land cover height and density can then be used to describe landcover classifications.Step 6. Land cover physical attributes can then be described in 2-dimensions sinceautomated sampling occurs in both the longitudinal and transverse directions.Slide 2-15####################################Step 1Digitize LandCoverPolygonsand StreamPolyline at1:5,000Slide 3-15####################################Pasture/Cultivated FieldRoadLarge MixSmall MixLarge HardwoodSmall HardwoodLarge ConiferSmall ConiferShrubs - UplandShrubs - WetlandGrasses - UplandGrasses - WetlandWaterDeveloped - Residential;25% Distribution of Shrubs75% Distribution of ShrubsStep 2Classify LandCoverLand Cover TypesSlide 4-15Potential ConditionHigh RangePotential ConditionLow RangeStep 3Develop Potential Land Cover Condition########################################################################Slide 5-15####################################Step 4Sample Land CoverData SetsRed dots are stream datanod es placed at100 foot in tervals in thelongitudinal directionGreen dots representtransverse sample points for land cover that occur atstream data nodesSlide 6-15Graminoid& ForbWetlandShrubDrylandShrubConifersDeciduousWesternJuniperLand Cover Height (feet)Step 5Assign Physical Attributes to ClassificationsGround level landcover data isstatisticallysummarized andsorted byvegetation type.Median valuesallow a generaldescription basedon site specificdata collected inthe study area.Vegetation heightis used here as anexample.Slide 7-15Using the medianvalues for each landcover type, vegetationheight can be assigned tosampled land cover data sets.The derived data is 2-dimensional sincesampling occurs in the longitudinal and transverse directions.34.232.330.529.027.626.124.322.620.919.017.215.614.411.710.28.67.05.43.51.6120'15'60'01020304050607080Step 62-Dimensional Analysis of Land Cover AttributesCurrent Condition Vegetation Height (ft)River MilesDistance from Channel Edge(ft)Example - North Fork Sprague Vegetation Height 120’120’ 0’ 0’Slide 8-15Upper Klamath Lake Drainage LandCover AssessmentResultsSouth Fork Sprague RiverSlide 9-15Fishhole CreekTrout CreekSlide 10-15N.F. Sprague RiverS.F. Sprague RiverSlide 11-15Sycan River - UpperSycan River - LowerSlide 12-15Sprague River - UpperSprague River - MiddleSlide 13-15Sprague River - LowerSlide 14-15Williamson River - UpperWilliamson River - LowerSlide


View Full Document

WOU ES 473 - Lecture Notes

Download Lecture Notes
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture Notes and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture Notes 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?