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biosds2890_fpu (FeatureServer)

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Service Description: The Central Valley Riparian Mapping developed by the Geographic Information Center (GIC) is used as a planning tool for the Department of Water Resources (DWR) and stakeholders in planning regional flood management projects and plans associated with the Central Valley Flood Protection Plan (CVFPP). These data are used to assess current areas of vegetation and habitat within the flood protection system, set measurable objectives within CVFPP Conservation Planning areas for the enhancement of specific types of habitat, and create initial assessments of potential impacts of proposed multi-benefit projects associated with the State Plan of Flood Control. This dataset was developed as part of the California Department of Water Resource's Central Valley Flood Protection Program to facilitate regional planning and conservation and enhancement of biological resources by the Department of Water Resources, project partners, and regional stakeholders.

Service ItemId: b9f4101fd9904ded95cf2f109a79d408

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: False

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Description:

The Department of Water Resources hired the GIC in early 2010 to complete a riparian vegetation map of the Central Valley Flood Protection Plan's (CVFPP) footprint. The total acreage of the CVFPP footprint is approximately 2,645,600 acres and spans portions of the following 22 counties: Amador, Butte, Calaveras, Colusa, Fresno, Glenn, Kings, Madera, Mariposa, Merced, Placer, Sacramento, San Joaquin, Shasta, Stanislaus, Sutter, Tehama, Tulare, Tuolumne, Yolo, and Yuba. The Central Valley Flood Protection Plan Area was remapped using 2016 National Agricultural Inventory Program aerial imagery.

CHANGE DETECTION

Change detection was performed for the Central Valley Flood Protection Plan area, comparing the years 2009 to 2016, totaling 2,645,999 acres. Each map was clipped to the designated CVFPP area boundary and then each mapping unit was analyzed for change in acreages between the imagery years. The results of this analysis can be found in Table 4. Riparian acres totaled 281,033 in 2009 and 303,823 in 2016, showing an increase of 22,790 acres (8 percent). Non-riparian acres were 291,582 in 2009 and 264,568 in 2016, showing a decrease of 27,013 acres (9 percent). Agriculture covered 1,753,706 acres in 2009 and 1,757,906 acres in 2016, showing an increase of 4,200 acres (<1 percent). Urban areas covered 241,002 acres in 2009 and 244,155 acres in 2016, showing an increase of 3,153 acres (1 percent).

Change detection is a modern concept where two maps covering the same area but based on different imagery years are compared using ArcGIS tools. The output tells us what has changed and, with further inquiry, one can determine specific changes from one mapping unit to another. For example, a wetland area mapped as Managed Marsh in 2009 had small willow trees that were not tall enough or dense enough to be considered a tree stand. By 2016, these willow trees had matured enough over 7 years to be classified as a willow stand. This example occurred in the Butte Sink area west of the Sutter Buttes.

Changes in a remap effort can occur due to several factors, some due to physical change and some due to non-physical change. Examples of factors that represent physical change are: stand maturation or decadence, fire, erosion, deposition, anthropogenic disturbances such as scraping/clearing, urban development, agricultural development, and restoration. Non-physical changes include: improvement in imagery quality, incorrect original mapping, imagery shifts, improvement of older linework, and change in level mapped (classification). Imagery quality continues to improve with time, which allows the photointerpreter to better determine which species are present and in what amounts to determine its best classification. A photointerpreter could also disagree with the previous mapper’s decisions and may change the classification in the remapping effort. A more subtle map change, which does not affect the acreages significantly, is when the photointerpreter improves old linework to make it better fit the classification type visually. Also, when the NAIP imagery is ortho-rectified, in some years it does not perfectly align with the year it is being compared to and linework needs to be shifted/redrawn. Lastly, a photointerpreter may have remapped an Alliance at the Group level due to lack of confidence at the Alliance level, and vice versa the interpreter may have mapped an Alliance that was previously mapped at Group level due to better confidence at that level. All of these factors should be taken into consideration when using and comparing these data to previous efforts. Please see the report here https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=184992for more information on these data and the change detection results.



Copyright Text: VegCAMP Vegetation Classification and Mapping Program; Program Lead; California Department of Fish and Wildlife (CDFW); Biogeographic Data Branch; 1700 9th Street, 4th Floor; (916) 324-9765; ; ; VegCAMP@wildlife.ca.gov;

Spatial Reference: 102100 (3857)

Initial Extent:
Full Extent:
Units: esriMeters

Child Resources:   Info

Supported Operations:   Query   ConvertFormat   Get Estimates