rr_ad_tribpoints

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Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Rr_ad_tribpoints.shp was created by Circuit Rider Productions, Inc.(CRP) through funding from the Sonoma County Water Agency, Fisheries Enhancement Program and California Department of Fish and Game.
Publication_Date:
May, 2002
Title: rr_ad_tribpoints
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: \\GISGOAT\rrgis\Vegetation\rr_ad_tribpoints.shp
Description:
Abstract:
This dataset represents the extent of the Arundo donax invasions occurring within the alluvial zones along significant tributaries of the Russian River. The point features in rr_ad_tribpoints represent approximate location of the centers of Arundo stands. As part of this project Circuit Rider Productions, Inc. (CRP) mapped the extent of the giant reed invasion using Geographic Information Systems (GIS) software ArcView GIS version 3.1, donated by Environmental Systems Research Institute, Inc. (ESRI), Environmental Conservation Program. Datasets that make up this study include rr_ad_tribpoints, rr_ad_triblines, rr_ad_main, rr_ad_me, rr_ad_av, rr_ad_fm, rr_ad_mr, rr_ad_lr ArcView shapefiles.

Purpose:
The purpose of this dataset is to support watershed assessment, planning and riparian mapping/analysis. Specifically, the intended purpose of this dataset is to support the process of addressing the negative impacts of the invasive giant reed (Arundo donax) on the Russian River. The Russian River is a coastal stream system that once supported one of the largest steelhead populations in the world. The invasion by giant reed is contributing to the decline of Russian River riparian habitat - a critical habitat type upon which salmonids and many other wildlife species depend. A clear understanding of the extent of the invasion by giant reed is critical for prioritizing control strategies and estimating costs associated with eradication and site restoration. Additionally, mapped information about the extent of the invasion can help to inform landowners, agencies and community groups about the scope of the problem, and whether the weed exists on their lands.

The giant reed invasion is of immediate concern in the Russian River watershed. Based on information from river systems in southern California and other riparian areas throughout the world, it is clear that giant reed may be one of the most serious impacts to the remaining riparian habitat in the Russian River system, having a direct impact on the salmonid fishery. Given the fact that the Russian River watershed is home to federally listed salmonid species - steelhead trout, coho and chinook salmon - as well as the federally listed freshwater shrimp and red legged frog, it is imperative that riparian zone management in these ecosystems take into account the impacts of invasive plants. Preservation of the remaining riparian habitat, as well as restoration of fisheries resources, will be more successful, and far more cost effective, if the giant reed issue is addressed during the early phase of this invasion.

Supplemental information:
Source data:
Mendocino County USGS DOQQ were developed from 1993 National Aerial Photography Program imagery (1:40,000 photo scale). The project 3.75-minute DOQQ are in the Universal Transverse Mercator coordinate system on the North American Datum of 1983 and have a ground pixel distance of 1 meter.
 
For infestations mapped in Sonoma county, newly released, year 2000 orthophotography was used as the base imagery. The county orthophotogrpahy utilized in this project was a "Beta Version" of the orthophotography in Mr. SID-Compressed format. The data are stored in California Stateplane Zone II, NAD 83 (survey feet) II coordinates, and have been georeferenced to match ground conditions and earth surface features using aerial and ground-based global positioning system (GPS) survey coordinates. At the time of use, the image data was being quality checked by County staff and may have contained irregularities. Available photo resolution varies within the orthophoto coverage with one-foot resolution or better in urban or incorporated areas and two-foot resolution in forested, mountainous, or other unincorporated areas of the County. In both counties, Arundo stands were interpreted from photographs taken during a series of low-level fixed wing aircraft flights.

*The above information that describes the Sonoma County orthophotogrpaphy was largely taken from the original metadata provided along with the images. For more detailed information describing the county orthophotography, please contact: (707) 565-3819 or via E-mail at gis@sonoma-county.org.

Methods:
The procedures listed below describe methods used to survey and map the extent of Arundo donax invasion occurring within the alluvial zone along significant tributaries of the Russian River. As part of this project Circuit Rider Productions, Inc. (CRP) mapped the extent of the giant reed invasion using Geographic Information Systems (GIS) software ArcView GIS version 3.1, donated by Environmental Systems Research Institute, Inc. (ESRI), Environmental Conservation Program.
CRP has surveyed the majority of the salmonid-bearing streams in the watershed to document the level of Arundo invasion. Because Arundo tends to be found predominantly in alluvial areas, CRP has focused the aerial reconnaissance and mapping program to the alluvial sections of the tributary streams.

Two sets of imagery data were used as base maps for the project due to differences in available digital aerial photography data for Sonoma and Mendocino counties. For Mendocino county, USGS Digital Orthogonal Quarter Quadrangles (DOQQ) were used for the raster-format underlay for display of the final mapped stands of Arundo. Mendocino County USGS DOQQ were developed from 1993 National Aerial Photography Program imagery (1:40,000 photo scale). The project 3.75-minute DOQQ are in the Universal Transverse Mercator coordinate system on the North American Datum of 1983 and have a ground pixel distance of 1 meter.

For infestations mapped in Sonoma county, newly released orthophotography was used as the base imagery. The county orthophotogrpahy utilized in this project was a "Beta Version" of the orthophotography in Mr. SID-Compressed format. The data are stored in California Stateplane Zone II, NAD 83 (survey feet) II coordinates, and have been corrected to the ground using aerial and ground-based global positioning system (GPS) survey coordinates. At the time of use, the image data was being quality checked by County staff and may have contained irregularities. Available photo resolution varies within the orthophoto coverage with one-foot resolution or better in urban or incorporated areas and two-foot resolution in forested, mountainous, or other unincorporated areas of the County. In both counties, Arundo stands were interpreted from photographs taken during a series of low-level fixed wing aircraft flights.

In the fall/winter months of 1998, low-level fixed wing aircraft test flights were conducted to determine the best film type, weather conditions, season, photo angle, and plane flight altitude for photographing Arundo in a riparian setting. The significant tributaries were photographed during several low level flights conducted during the winter months (Jan./Feb. 2001), when riparian plant species were dormant, providing the clearest view of Arundo stands. A series of sequential, overlapping photographs was taken for both banks, at an approximate altitude of 500 feet, at a 45 degree angle, using Kodak Gold color film. Arundo polygons not clearly seen in the photographs were identified in the GIS database as being sites that require further surveying or base imagery with improved resolution.

Subsequent to the development of the hand held camera photographs, the photos were cataloged in a Microsoft Excel datasheet, indicating the roll number, photo number a general locational descriptor and the name of the tributary that the photograph captures. The features determined to be Arundo infestations were then digitized directly onto the USGS DOQQ base maps using ESRI ArcView 3.1 and ArcView 3.2 software. When possible, the area boundary of the infestation was digitized, producing a polygon feature to describe the infestation. However, in many cases the resolution of the base imagery was inadequate for mapping the infestations as polygonal data features. Consequentially, a majority of the tributary infestations were mapped as points, representing approximate locations of the centers of infestation stands. The differences in polygonal and point data have been accounted for by creating centroids of the digitized polygons. The resulting points were merged together into one GIS format file (ESRI .shp file) that illustrates and describes the extent of Arundo infestations along significant tributaries to the Russian River. Additionally, a GIS format (ESRI .shp file) has been created that describes the Russian River tributaries that have Arundo donax infestations along them.

Data Summary:
764 points were identified as approximate locations (point data) of Arundo donax infestations within this study. A significant number of tributary infestations are located near the confluence of the tributary and the mainstem. After the mapping was completed, this study required a mechanism for determining which infestations within proximity to the confluence are tributary infestations and which infestations biologically belong to the mainstem. Using ArcView 3.2, a buffering method was used to facilitate this determination. A buffer of thirty feet was applied to the hydrology of the Russian River. Infestations located within a thirty foot radius of the mainstem and tributary confluence were assigned to the tributary while those that were within proximity to the confluence but did not intersect the thirty foot buffer were attributed as being mainstem infestations. After applying this filter, the data resulted in 227 points as tributary infestations.

Though the extent of Arundo growth and general locations of feature polygons were the main focus of this mapping project, the determination of stand growth-patterns in relation to surrounding vegetation was considered important due to the implications for eradication efforts and long term monitoring.

43 tributaries in the Russian River watershed were identified as having Arundo infestations. Of these tributaries, 15 were unnamed tributaries according to the 1:24,000 hydrographic GIS dataset (hydro_121.shp) produced by CDF FRAP (http://frap.cdf.ca.gov/data/frapgisdata/select.asp). Map readers are able to identify these unnamed tributaries using the LLID value which is a unique numeric ID assigned to each hydrographic line feature in the 1:24,000 dataset. Certain tributaries are indicated as having Arundo infestations without corresponding information in the GIS point file indicating the approximate location of the infestation. This is a result of tributaries that have been identified as having Arundo through field surveying however, the point location information was unable to be mapped due to either inadequate base imagery resolution or complications in recording GPS information at the site. The method through which each the point data (representing approximate infestation locations) as well as the line data (representing infested tributaries) has been recorded in the "Methods" field of the two GIS databases.

Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date:
Winter 2001
Currentness_Reference:
Based on date of low-level flights conducted during the winter months (Jan./Feb. 2001).
 
Status:
Progress: Complete
Maintenance_and_Update_Frequency:
None scheduled.
 
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -123.224820
East_Bounding_Coordinate: -122.633082
North_Bounding_Coordinate: 39.256369
South_Bounding_Coordinate: 38.426755
Keywords:
Theme:
Theme_Keyword_Thesaurus:
Arundo donax, giant reed.
Theme_Keyword:
Arundo donax, giant reed, Russian River, riparian habitat, tributaries, salmonids.
Access_Constraints:
None.
Use_Constraints:
The responsibility of the risks associated in regards to the results and representations of using this type of spatial data is understood by the user. In all cases, the user should refer to the associated metadata files or the original source data for accuracy, currentness and appropriate contact information. CRP shall not have any liability to any person or entity with respect to liability, loss or damage caused or alleged to be caused directly or indirectly by information contained in this file.
 
Native_Data_Set_Environment:
Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 2; ESRI ArcCatalog 8.1.1.649

Data_Quality_Information:
Lineage:
Process_Step:
Process_Description: Dataset copied.
Source_Used_Citation_Abbreviation:
C:\GIS_Data\RRGIS\CRP\Arundo\AD Tributaries\final_arundo_all_points
Process_Step:
Process_Description: Dataset copied.
Source_Used_Citation_Abbreviation: C:\GIS_Data\RRGIS\CRP\Arundo\AD Tributaries\rr_ad_tribpoints

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity point
Point_and_Vector_Object_Count: 764

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 10
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -123.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000256
Ordinate_Resolution: 0.000256
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: rr_ad_tribpoints
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: ID - A unique numeric identifier for each record in the attribute table.
Attribute:
Attribute_Label: STREAMNAME - The streamname that this record (giant reed infestation) falls along. Streamnames were taken from the 1:24,000 Russian River hydrography dataset developed by CDF.
Attribute:
Attribute_Label: COMMENTS - Information describing the approximate location of the infestation as well as information describing local surface features and photo quality indicators.
Attribute:
Attribute_Label: CATEGORY - Arundo stands were classified into the following categories:

1- Arundo mixed with bareground
2 - Arundo mixed with shrubs and trees
3 - Arundo mixed with bareground and shrubs
4 - Reinterpretation of Arundo locations from previous mapping
5 - Arundo that is confidently identified
6 - Identified as Arundo, but was not mapped because either of poor aerial photo quality or DOQQ resolution is too course
7 - Arundo is likely identified, but needs field checking to be confident
Attribute:
Attribute_Label: LLID - A unique numeric identifier used by various hydrogrpahic datasets. This numeric describes each hydrogrpahic line feature in this file. This field may be used to link the information in this attribute table to other tables.
Attribute:
Attribute_Label: STRM_TYPE - An indication of whether the field refers to a giant reed infestation along a tributary or the mainstem of the Russian River.
Attribute:
Attribute_Label: METHODS
The method through which each the point data (representing approximate infestation locations) as well as the line data (representing infested tributaries) has been recorded in the "Methods" field of the two GIS databases. The various method values are as follows:

Methods
AP- information is from an aerial photograph
LK- information is from local knowledge, such as someone telling us he/she knows Arundo is present in a general area
FC- the Arundo was seen in the field and either was mapped or a GPS reading was taken

Attribute:
Attribute_Label: CENT_PT - An indication of whether the point is the product of direct aerial photo interpretation or if the point is a is a centroid (being a product of applying the polycent.ave script to the originally digitized polygonal information).
1 - Centroid
2 - Point based on photo interpretation
Attribute:
Attribute_Label: ROLL - The film roll number used to take the original photograph of the infestation.
Attribute:
Attribute_Label: PICTURE - The picture number used to take the original photgraph of the infestation.
Attribute:
Attribute_Label: X - the x value produced from the polycent .ave script.
Attribute:
Attribute_Label: Y - the y value produced from the polycent .ave script.
Attribute:
Attribute_Label: GPS_CODE - The original filename of the GPS point file that recorded the infestation location information.

Distribution_Information:
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 0.345

Metadata_Reference_Information:
Metadata_Date: 20021010
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Circuit Rider Productions, Inc.
Contact_Person:
David Bennett
Contact_Address:
Address_Type:
9619 Old Redwood Highway
City:
Windsor
State_or_Province:
California
Postal_Code:
95492
Contact_Voice_Telephone:
707.838.6641
 
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile

Generated by mp version 2.7.3 on Thu Oct 10 12:31:41 2002