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Public_Forest_Health/WADNR_PUBLIC_Forest_Health_Survey (MapServer)

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Service Description:

Every summer for approximately the past seventy years, an insect and disease aerial detection survey has been flown of all the forested acres of Washington state (except where noted in the digital data by large 'NF' (not flown) areas). This survey is a cooperative effort between the U.S. Forest Service and the WADNR with two different flight observers each sketching a two mile swath out their side of the plane. The primary mission of the survey is to record recently killed and defoliated groups of trees throughout the state, and to continually build a historical record of these trends. The vast majority of damage found is caused by insect and disease damage agents; however, trees killed by early spring feeding of black bears or by events such as winter storms, fires, floods and landslides are recorded as well. Current defoliation can be detected as soon as the affected foliage changes color that year. However, whole tree mortality is not current since only flagged trees (i.e., trees which have a bright red, orange, or yellow foliage color) are recorded. This means that trees killed the year of the survey will not have changed color yet and so a one year lag time results. Since only this distinctive color or "signature" of the tree can be seen. It is an educated guess as to the causal agent. We therefore use ground surveys to reinforce our estimates as much as possible. Example: When bear damage is spotted while surveying, a polygon is drawn on the map of the size and location of the damage. The polygon is then labeled with the appropriate damage agent (i.e. Bear) and the number of trees affected rounded to the nearest five. No vertical data is recorded.

Layers Include:

Forest Health Aerial Survey 2015: Foliar Diseases 2015, Defoliating Insects 2015, Abiotic/Animal/Root Disease 2015, Mortality Agents 2015, and Areas Not Flown 2015.

Forest Health Aerial Survey 2016: Foliar Diseases 2016, Defoliating Insects 2016, Abiotic/Animal/Root Disease 2016, Mortality Agents 2016, and Areas Not Flown 2016.

Forest Health Aerial Survey 2017: Foliar Diseases 2017, Defoliating Insects 2017, Abiotic/Animal/Root Disease 2017, Mortality Agents 2017, and Areas Not Flown 2017.

Forest Health Aerial Survey 2018: Foliar Diseases 2018, Defoliating Insects 2018, Abiotic/Animal/Root Disease 2018, Mortality Agents 2018, and Areas Not Flown 2018.

Forest Health Aerial Survey 2019: Foliar Diseases 2019, Defoliating Insects 2019, Abiotic/Animal/Root Disease 2019, Mortality Agents 2019, and Areas Not Flown 2019.

15 Year Mortality Indicator 2003-2017



Map Name: WADNR_PUBLIC_Forest_Health_Survey

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Every summer for approximately the past seventy years, an insect and disease aerial detection survey has been flown of all the forested acres of Washington state (except where noted in the digital data by large 'NF' (not flown) areas). This survey is a cooperative effort between the U.S. Forest Service and the WADNR with two different flight observers each sketching a two mile swath out their side of the plane. The primary mission of the survey is to record recently killed and defoliated groups of trees throughout the state, and to continually build a historical record of these trends. The vast majority of damage found is caused by insect and disease damage agents; however, trees killed by early spring feeding of black bears or by events such as winter storms, fires, floods and landslides are recorded as well. Current defoliation can be detected as soon as the affected foliage changes color that year. However, whole tree mortality is not current since only flagged trees (i.e., trees which have a bright red, orange, or yellow foliage color) are recorded. This means that trees killed the year of the survey will not have changed color yet and so a one year lag time results. Since only this distinctive color or "signature" of the tree can be seen. It is an educated guess as to the causal agent. We therefore use ground surveys to reinforce our estimates as much as possible. Example: When bear damage is spotted while surveying, a polygon is drawn on the map of the size and location of the damage. The polygon is then labeled with the appropriate damage agent (i.e. Bear) and the number of trees affected rounded to the nearest five. No vertical data is recorded.

Layers Include:

Forest Health Aerial Survey 2015: Foliar Diseases 2015, Defoliating Insects 2015, Abiotic/Animal/Root Disease 2015, Mortality Agents 2015, and Areas Not Flown 2015.

Forest Health Aerial Survey 2016: Foliar Diseases 2016, Defoliating Insects 2016, Abiotic/Animal/Root Disease 2016, Mortality Agents 2016, and Areas Not Flown 2016.

Forest Health Aerial Survey 2017: Foliar Diseases 2017, Defoliating Insects 2017, Abiotic/Animal/Root Disease 2017, Mortality Agents 2017, and Areas Not Flown 2017.

Forest Health Aerial Survey 2018: Foliar Diseases 2018, Defoliating Insects 2018, Abiotic/Animal/Root Disease 2018, Mortality Agents 2018, and Areas Not Flown 2018.

Forest Health Aerial Survey 2019: Foliar Diseases 2019, Defoliating Insects 2019, Abiotic/Animal/Root Disease 2019, Mortality Agents 2019, and Areas Not Flown 2019.

15 Year Mortality Indicator 2003-2017



Service Item Id: 83a2b4061fb94d539b7c9693e1f9381a

Copyright Text: This data is a result of a cooperative effort between USDA Forest Service, Region 6, Forest Health Protection and the Washington State Department of Natural Resources, Wildfire Division, Forest Health.

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates   Generate KML