EcoService Models Library (ESML)
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Variables Details
: (EM-940)
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EM Identity and Description
EM-940 | |
Document Author
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Morrison, K. D. and C. A. Kolden |
Document Year
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2015 |
Variable General Info
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Variable ID
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23130 |
Not reported | |
Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Qualitative (Class, Rating or Ranking) |
Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Non-Ordinal |
Not applicable |
Variable Typology
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Predictor-Intermediate-Response
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Predictor |
Predictor Variable Type
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Time- or Space-varying Variable |
Response Variable Type
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Not applicable |
Data Source/Type
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Local field/Lab data (e.g., particular to the EM study) |
Variable Classification Hierarchy
variable.detail.vchLevel1Help
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2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
--Land use/land cover type or dominant habitat type |
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----Other, multiple, unspecified or unclear |
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Variable Spatial Characteristics
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Spatial Extent Area
variable.detail.spExtentHelp
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100-1000 km^2 |
Spatially Distributed?
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Yes |
Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes |
Spatial Grain Type
variable.detail.spGrainTypeHelp
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other (specify), for irregular (e.g., stream reach, lake basin) |
Spatial Grain Size
variable.detail.spGrainSizeHelp
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irregular |
Spatial Density
variable.detail.spDensityHelp
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Not applicable |
EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Variable Temporal Characteristics
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Temporal Extent
variable.detail.tempExtentHelp
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2005-2008 |
Temporally Distributed?
variable.detail.tempDistributedHelp
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Yes |
Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Yes |
Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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1 |
Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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year |
Temporal Density
variable.detail.tempDensityHelp
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Not applicable |
Variable Values
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Not applicable | |
Min Value
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Not applicable |
Max Value
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Not applicable |
Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable |
Other Value
variable.detail.otherEstHelp
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Not applicable |
Variable Variability and Sensitivity
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
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Variability Expression Given?
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Not applicable |
Variability Metric
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None |
Variability Value
variable.detail.variabilityValueHelp
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None |
Variability Units
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None |
Resampling Used?
variable.detail.bootstrappingHelp
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Not applicable |
Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
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Not applicable |
Variable Operational Validation (Response Variables only)
Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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