EPIC Forest LAI Dataset: LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in VA and NC.
This data depicts calculated and validated LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic
provinces in Virginia and North Carolina. Measurements of forest composition (species and number), LAI, tree diameter, basal area, and canopy height were recorded at each site during the 2002 field season. Calibrated EPIC results show stand-level temporally resolved LAI estimates with R2 values ranging from 0.69 to 0.96, and stand maximum height estimates within 20% of observation.
This dataset is associated with the following publication:
Iiames, J., E. Cooter, D. Schwede, and J. Williams. A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA. Forests. MDPI AG, Basel, SWITZERLAND, 9(1): 26, (2018).
Resources
3 resources available
-
https://www.mdpi.com/journal/forests/special_issues/LAI_remotesensing
FILE -
ExcelData.zip
APPLICATION/X-ZIP-COMPRESSED -
forests-09-00026 (1).pdf
APPLICATION/PDF
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Ellen Cooter",
"hasEmail": "mailto:cooter.ellen@epa.gov"
}
|
| description | This data depicts calculated and validated LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in Virginia and North Carolina. Measurements of forest composition (species and number), LAI, tree diameter, basal area, and canopy height were recorded at each site during the 2002 field season. Calibrated EPIC results show stand-level temporally resolved LAI estimates with R2 values ranging from 0.69 to 0.96, and stand maximum height estimates within 20% of observation. This dataset is associated with the following publication: Iiames, J., E. Cooter, D. Schwede, and J. Williams. A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA. Forests. MDPI AG, Basel, SWITZERLAND, 9(1): 26, (2018). |
| distribution |
[
{
"title": "https://www.mdpi.com/journal/forests/special_issues/LAI_remotesensing",
"accessURL": "https://www.mdpi.com/journal/forests/special_issues/LAI_remotesensing"
},
{
"title": "ExcelData.zip",
"mediaType": "application/x-zip-compressed",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418159/ExcelData.zip"
},
{
"title": "forests-09-00026 (1).pdf",
"mediaType": "application/pdf",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418159/forests-09-00026%20%281%29.pdf"
}
]
|
| identifier | https://doi.org/10.23719/1418159 |
| keyword |
[
"EPIC",
"LAI",
"Southeastern USA",
"atmospheric flux",
"mixed forest",
"nitrogen deposition",
"unmanaged"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-01-26 |
| programCode |
[
"020:094"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.3390/f9010026"
]
|
| rights |
null
|
| title | EPIC Forest LAI Dataset: LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in VA and NC. |
