LiDAR and Landsat change indices for the 2012 Pole Creek Fire

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: McCarley, T. Ryan
Originator: Kolden, Crystal A.
Originator: Vaillant, Nicole M.
Originator: Hudak, Andrew T.
Originator: Smith, Alistair M.S.
Originator: Wing, Brian M.
Originator: Kellogg, Bryce S.
Originator: Kreitler, Jason
Publication_Date: 2018
Title:
LiDAR and Landsat change indices for the 2012 Pole Creek Fire
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2018-0017
Description:
Abstract:
Changes in forest structure caused by the 2012 Pole Creek Fire in central Oregon were estimated using muti-temporal LiDAR and compared to multi-temporal spectral indices derived from Landsat. This data publication contains twenty-four estimates for change in forest structure, which were calculated by taking an absolute and relative difference in LiDAR metrics estimated for 2009 and 2013. These metrics include canopy cover, canopy density, canopy relief ratio, mean surface fuel height, and other point cloud statistics. Also included are twenty-one differenced spectral indices developed using Landsat images for 2011 and 2013. These include the delta normalized burn ratio (dNBR) and relative dNBR (RdNBR), as well as other indices that have been used to assess fire effects. LiDAR metrics were computed at 30-meter voxels to match the Landsat data. A mask, which is included in this data publication, was developed to exclude areas of water and snow that interfered with spectral change analysis. Pre-fire mountain pine beetle (MPB) outbreak and forest management were also identified to evaluate their effect on model performance. A pre-fire condition layer is included, which identifies portions of the study area as being affected or not affected by MPB and/or forest management, as well as being burned or unburned in the Pole Creek Fire.
Purpose:
These products were used to assess how well various spectral indices derived from Landsat imagery predict changes in forest structure inferred from LiDAR.
Supplemental_Information:
Original metadata date was 03/29/2018. Minor metadata updates were made on 11/12/2019.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2009
Ending_Date: 2013
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
Vicinity of the Pole Creek Fire, central Oregon, approximately 30 kilometers west of Bend, Oregon.
Bounding_Coordinates:
West_Bounding_Coordinate: -122.083515
East_Bounding_Coordinate: -121.320832
North_Bounding_Coordinate: 44.453995
South_Bounding_Coordinate: 43.905161
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: wildfire
Theme_Keyword: LiDAR
Theme_Keyword: Landsat
Theme_Keyword: dNBR
Theme_Keyword: d74
Theme_Keyword: canopy cover
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Fire
Theme_Keyword: Fire effects on environment
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Forest management
Theme_Keyword: Forest & Plant Health
Theme_Keyword: Insects
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Oregon
Place_Keyword: Pole Creek Fire
Place_Keyword: Eastern Cascades
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

McCarley, T. Ryan.; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M.S.; Wing, Brian M.; Kellogg, Bryce S.; Kreitler, Jason. 2018. LiDAR and Landsat change indices for the 2012 Pole Creek Fire. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0017
Data_Set_Credit:
This work was partially funded by the USDA Forest Service, Pacific Northwest Research Station, Western Wildland Environmental Threat Assessment Center under Joint Venture Agreement 13-JV-11261900-072; the Department of the Interior Northwest Climate Science Center through Cooperative Agreement G14AP00177 from the U.S. Geological Survey.
Cross_Reference:
Citation_Information:
Originator: McCarley, T. Ryan
Originator: Kolden, Crystal A.
Originator: Vaillant, Nicole M.
Originator: Hudak, Andrew T.
Originator: Smith, Alistair M.S.
Originator: Wing, Brian M.
Originator: Kellogg, Bryce S.
Originator: Kreitler, Jason
Publication_Date: 20170315
Title:
Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Remote Sensing of Environment
Issue_Identification: 191: 419-432
Online_Linkage: https://doi.org/10.1016/j.rse.2016.12.022
Back to Top
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
LiDAR data were acquired by Watershed Sciences Inc., who performed horizontal and vertical accuracy assessments of the point cloud. Landsat data were acquired from Earth Explorer. These data were Level 1 terrain corrected by USGS. Further description of limitations and quality-control procedures performed following data acquisition are detailed in McCarley et al. (2017).

McCarley, T. Ryan.; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M.S.; Wing, Brian M.; Kellogg, Bryce S.; Kreitler, Jason. 2017. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure. Remote Sensing of Environment. 191: 419-432. https://doi.org/10.1016/j.rse.2016.12.022
Logical_Consistency_Report:
All data was aligned at a 30-meter resolution, matching the initial Landsat data.
Completeness_Report:
Raster data of LiDAR metrics and Landsat spectral indices is complete as calculated. However, presence of snow, open water, and other similar features were observed to interfere with change analysis, producing anomalous spectral values which were masked from further analysis. The mask we used is provided.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Watershed Sciences Inc.
Publication_Date: Unknown
Title:
Pre-fire LiDAR
Geospatial_Data_Presentation_Form: remote-sensing image
Type_of_Source_Media: disc
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20091007
Ending_Date: 20091011
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Pre-fire LiDAR
Source_Contribution:
Data were delivered in georeferenced binary LAS file format.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Watershed Sciences Inc.
Publication_Date: Unknown
Title:
Post-fire LiDAR
Geospatial_Data_Presentation_Form: remote-sensing image
Type_of_Source_Media: disc
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20131008
Ending_Date: 20131011
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Post-fire LiDAR
Source_Contribution:
Data were delivered in georeferenced binary LAS file format.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Geological Survey
Publication_Date: Unknown
Title:
Pre-fire Landsat Image
Geospatial_Data_Presentation_Form: remote-sensing image
Online_Linkage: https://earthexplorer.usgs.gov
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20110723
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Pre-fire Landsat
Source_Contribution:
Data were acquired as level 1 terrain corrected TIFF files, corresponding to each band of the Landsat Thematic Mapper (TM) sensor. The downloaded scene was path 45, row 29 in the Landsat Worldwide Reference System.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Geological Survey
Publication_Date: Unknown
Title:
Post-fire Landsat Image
Geospatial_Data_Presentation_Form: remote-sensing image
Online_Linkage: https://earthexplorer.usgs.gov
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20130610
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Post-fire Landsat
Source_Contribution:
Data were acquired as level 1 terrain corrected TIFF files, corresponding to each band of the Landsat Operational Land Imager (OLI) sensor. The downloaded scene was path 45, row 29 in the Landsat Worldwide Reference System.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: 2015
Title:
Forest Service Activity Tracking System (FACTS)
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: https://data.fs.usda.gov/geodata/edw/datasets.php
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1962
Ending_Date: 2015
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
FACTS
Source_Contribution:
Hazardous Fuel Treatment Reduction: Polygon and Timber Harvest were acquired in shapefile format.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: 2015
Title:
Aerial Detection Surveys
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: https://www.fs.usda.gov/detail/r6/forest-grasslandhealth/insects-diseases
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1947
Ending_Date: 2015
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
ADS
Source_Contribution:
Aerial survey data for 2000 through 2006 were acquired in shapefile format.
Process_Step:
Process_Description:
Pre-fire LiDAR was re-projected in LAStools (Isenburg 2013) in order to match the post-fire data.

Isenburg, Martin. 2013. LAStools – efficient tools for LiDAR processing. Retrieved from http://lastools.org.
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Process_Date: 2014
Process_Step:
Process_Description:
Pre- and post-fire LiDAR were normalized by subtracting the vendor-provided terrain models from the LiDAR point cloud using the FUSION software package (McGaughey 2014).

McGaughey, Robert J. 2014. FUSION/LDV: Software for LiDAR Data Analysis and Visualization. USDA, Forest Service, Pacific Nowrthwest Research Station. Retrieved from http://forsys.sefs.uw.edu/fusion/fusionlatest.html.
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Process_Step:
Process_Description:
Calculated mean return height (for returns above 0.15-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dMHT
Source_Produced_Citation_Abbreviation:
RdMHT
Process_Step:
Process_Description:
Calculated standard deviation of return heights (for returns above 0.15-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dSD
Source_Produced_Citation_Abbreviation:
RdSD
Process_Step:
Process_Description:
Calculated skewness of return heights (for returns above 0.15-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dSKW
Source_Produced_Citation_Abbreviation:
RdSKW
Process_Step:
Process_Description:
Calculated percent of returns < 1-meter (strata 1) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dS1
Source_Produced_Citation_Abbreviation:
RdS1
Process_Step:
Process_Description:
Calculated percent of returns >= 1-meter and <= 5-meter (strata 2) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dS2
Source_Produced_Citation_Abbreviation:
RdS2
Process_Step:
Process_Description:
Calculated percent of returns > 5-meter and <= 8-meter (strata 3) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dS3
Source_Produced_Citation_Abbreviation:
RdS3
Process_Step:
Process_Description:
Calculated percent of returns > 8-meter and <= 20-meter (strata 4) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dS4
Source_Produced_Citation_Abbreviation:
RdS4
Process_Step:
Process_Description:
Calculated percent of returns > 20-meters (strata 5) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dS5
Source_Produced_Citation_Abbreviation:
RdS5
Process_Step:
Process_Description:
Calculated mean surface fuel height (percent of returns <= 1.8-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).

1.8 meters was used as the threshold between surface and canopy fuels based on:
Brown, James K.; Oberheu, Rick D.; Johnston, Cameron M. 1982. Handbook for inventorying surface fuels and biomass in the Interior West. Gen. Tech. Rep. INT-129. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experimental Station. 48 p. https://doi.org/10.2737/INT-GTR-129
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dMSFH
Source_Produced_Citation_Abbreviation:
RdMSFH
Process_Step:
Process_Description:
Calculated canopy cover (percent of all returns > 1.8-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).

1.8 meters was used as the threshold between surface and canopy fuels based on:
Brown, James K.; Oberheu, Rick D.; Johnston, Cameron M. 1982. Handbook for inventorying surface fuels and biomass in the Interior West. Gen. Tech. Rep. INT-129. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experimental Station. 48 p. https://doi.org/10.2737/INT-GTR-129
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dCC
Source_Produced_Citation_Abbreviation:
RdCC
Process_Step:
Process_Description:
Calculated canopy relief ratio ((mean height - minimum height)/(maximum height - minimum height)) (using returns > 0.15-meters) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dCRR
Source_Produced_Citation_Abbreviation:
RdCRR
Process_Step:
Process_Description:
Calculated canopy density (mean vegetation height * canopy cover) for pre- and post-fire lidar. Produced absolute and relative change metric using (pre-post) and ((pre-post)/pre).
Source_Used_Citation_Abbreviation:
Pre-fire LiDAR
Source_Used_Citation_Abbreviation:
Post-fire LiDAR
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dCD
Source_Produced_Citation_Abbreviation:
RdCD
Process_Step:
Process_Description:
Pre- and post-fire USGS Level 1 terrain-corrected Landsat imagery was transformed to top-of-atmosphere reflectance (Chander and Markham, 2003), then atmospherically corrected to at-surface-reflectance using the Cos(t) model (Mahiny and Turner, 2007) and Dark Object Subtraction (Chavez, 1996).

Chander, G.; Markham, B. 2003. Revised Landsat-5 TM Radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41(11): 2674-2677. https://doi.org/10.1109/TGRS.2003.818464

Chavez, P.S.J. 1996. Image-based atmospheric corrections-revisited and improved. Photogrammic Engineering and Remote Sensing. 62(9): 1025-1035.

Mahiny, Abdolrassoul S.; Turner, Brian J. 2007. A comparison of four common atmospheric correction methods. Photogrammic Engineering and Remote Sensing. 73(4): 361-368. https://doi.org/10.14358/PERS.73.4.361
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Process_Step:
Process_Description:
Calculated difference in pre- and post- fire Landsat bands (blue, green, red, near infrared, shortwave infrared 1, and shortwave infrared 2). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Key, Carl H. 2006. Ecological and sampling constraints on defining landscape fire severity. Fire Ecology. 2(2): 34-59. https://doi.org/10.4996/fireecology.0202034
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dB
Source_Produced_Citation_Abbreviation:
dG
Source_Produced_Citation_Abbreviation:
dR
Source_Produced_Citation_Abbreviation:
dNIR
Source_Produced_Citation_Abbreviation:
dSWIR1
Source_Produced_Citation_Abbreviation:
dSWIR2
Process_Step:
Process_Description:
Calculated the delta normalized burn ratio (dNBR) per Key and Benson (2006): pre-fire NBR minus post-fire NBR, where NBR is ((near infrared - shortwave infrared 2)/(near infrared + shortwave infrared 2)). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Key, Carl H.; Benson, Nathan C. 2006. Landscape Assessment (LA). In: Lutes, Duncan C.; Keane, Robert E.; Caratti, John F.; Key, Carl H.; Benson, Nathan C.; Sutherland, Steve; Gangi, Larry J. 2006. FIREMON: Fire effects monitoring and inventory system. Gen. Tech. Rep. RMRS-GTR-164-CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. LA-1-55. https://doi.org/10.2737/RMRS-GTR-164
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dNBR
Process_Step:
Process_Description:
Calculated the relative delta normalized burn ratio (RdNBR) per Miller and Thode (2007): dNBR / sqrt(abs(pre-fire NBR)/1000). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Miller, Jay D.; Thode, Andrea E. 2007. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta normalized burn ratio (dNBR). Remote Sensing of Environment. 109(1): 66-80. https://doi.org/10.1016/j.rse.2006.12.006
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
RdNBR
Process_Step:
Process_Description:
Calculated the delta normalized vegetation index (dNDVI) per Rouse et al. (1974): pre-fire NDVI minus post-fire NDVI, where NDVI is ((near infrared - red)/(near infrared + red)). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Rouse, J.W.; Haas, R.H.; Deerling, D.W.; Schell, J.A.; Harlan, J.C. 1974. Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. NASA/GSFC Type III Final Report, Greenbelt, MD.
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dNDVI
Process_Step:
Process_Description:
Calculated the delta mid-infrared bi-spectral index (dMIRBI) per Trigg and Flasse (2001): pre-fire MIRBI minus post-fire MIRBI, where MIRBI is (10*shortwave infrared 2) - (9.8*shortwave infrared 1) +2.0. An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Trigg, S.; Flasse, S. 2001. An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah. International Journal of Remote Sensing. 22(13): 2641-2647. https://doi.org/10.1080/01431160110053185
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dMIRBI
Process_Step:
Process_Description:
Calculated the delta char soil index (CSI) per Smith et al. (2009): pre-fire CSI minus post-fire CSI, where CSI is near infrared / shortwave infrared 1. An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Smith, Aistair M.S; Falkowski, Michael J.; Hudak, Andrew T.; Evans, Jeffrey S.; Robinson, Andrew P.; Steele, Caiti M. 2009. A cross-comparison of field, spectral, and lidar estimates of forest canopy cover. Canadian Journal of Remote Sensing. 35(5): 447-459. https://doi.org/10.5589/m09-038
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dCSI
Process_Step:
Process_Description:
Calculated the delta soil adjusted vegetation index (dSAVI) per Huete (1988): pre-fire SAVI minus post-fire SAVI, where SAVI is (near infrared - red)*(1+L)/(shortwave infrared 1), and L is a soil constant set to 0.5. An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment. 25(3): 295-309. https://doi.org/10.1016/0034-4257(88)90106-X
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dSAVI
Process_Step:
Process_Description:
Calculated differenced tasseled cap brightness, greenness, and wetness (dTCB, dTCG, dTCW) per Kauth and Thomas (1976): pre-fire tassel cap minus post-fire tassel cap, where tassel cap is (blue*e)+(green*e)+(red*e)+(near infrared*e)+(shortwave infrared 1*e)+(shortwave infrared 2*e), and e are pre-defined coefficients for linear transformation defined by Crist (1985). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Crist, Eric P. 1985. A TM Tasseled Cap equivalent transformation for reflectance factor data. Remote Sensing of Environment. 17(3): 301-306. https://doi.org/10.1016/0034-4257(85)90102-6

Kauth, R.J.; Thomas, G.S. 1976. The tasseled cap - a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. In Final Proceedings: 2nd International Symposium on Machine Processing of Remotely Sensed Data. Purdue University, West Lafayette, IN.
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dTCB
Source_Produced_Citation_Abbreviation:
dTCG
Source_Produced_Citation_Abbreviation:
dTCW
Process_Step:
Process_Description:
Calculated the first three principle components of the differenced Landsat bands (dPC1, dPC2, dPC3) using principle component analysis following Patterson and Yool (1998): (dB*a)+(dG*a)+(dR*a)+(dNIR*a)+(dSWIR1*a)+(SWIR2*a), where a are coefficients derived from pixels within the fire using an unstandardized principle component transformation (based on covariance matrix), defined in Table S1 of McCarley et al. (2017).

Patterson, Mark W.; Yool, Stephen R. 1998. Mapping fire-induced vegetation mortality using Landsat Thematic Mapper Data. Remote Sensing of Environment. 65(2): 132-142. https://doi.org/10.1016/S0034-4257(98)00018-2

McCarley, T. Ryan.; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M.S.; Wing, Brian M.; Kellogg, Bryce S.; Kreitler, Jason. 2017. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure. Remote Sensing of Environment. 191: 419-432. https://doi.org/10.1016/j.rse.2016.12.022
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dPC1
Source_Produced_Citation_Abbreviation:
dPC2
Source_Produced_Citation_Abbreviation:
dPC3
Process_Step:
Process_Description:
Calculated the delta normalized water index (dNDWI) per Gao (1996): pre-fire NDWI minus post-fire NDWI, where NDWI is ((near infrared - shortwave infrared 1)/(near infrared + shortwave infrared 1)). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Gao, Bo-cai. 1996. NDWI - a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment. 58(3): 257-266. https://doi.org/10.1016/S0034-4257(96)00067-3
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
dNDWI
Process_Step:
Process_Description:
Calculated the delta 7/4 ratio (d74) per Kushla and Ripple (1998): pre-fire 7/4 ratio minus post-fire 7/4 ratio, where the 7/4 ratio is (shortwave infrared 2 / near infrared). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Kushla, J.D.; Ripple, W.J. 1998. Assessing wildfire effects with Landsat thematic mapper data. International Journal of Remote Sensing. 19(13): 2493-2507. https://doi.org/10.1080/014311698214587
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
d74
Process_Step:
Process_Description:
Calculated the delta 7/5 ratio (d75) per Epting et al. (2005): pre-fire 7/5 ratio minus post-fire 7/5 ratio, where the 7/5 ratio is (shortwave infrared 2 / shortwave infrared 1). An offset value was identified in homogenous reference forested areas outside the fire perimeter, and then applied to the differenced image per Key (2006).

Epting, Justin; Verbyla, David; Sorbel, Brian. 2005. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+. Remote Sensing of Environment. 96(3-4): 328-339. https://doi.org/10.1016/j.rse.2005.03.002
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
d75
Process_Step:
Process_Description:
In order to exclude areas of water and snow that interfered with change analysis, a mask was developed by manually editing the Pole Creek Fire perimeter using the pre- and post-fire Landsat images as reference. The shape was then rasterized to match the spatial resolution of the other layers and the footprint of the pre-fire LiDAR (which had the smallest footprint).

Values were coded as follows: 0 - areas not to be analyzed (i.e., water or snow); 1 - areas that can be used outside the fire; 2 - areas that can be used inside the fire.
Source_Used_Citation_Abbreviation:
Pre-fire Landsat
Source_Used_Citation_Abbreviation:
Post-fire Landsat
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
Mask
Process_Step:
Process_Description:
Areas within the extent of pre- and post-fire LiDAR and Landsat data were identified as having been affected by either mountain pine beetle (MPB) or forest management (MGMT). Forest management was identified using the USDA Forest Service Activities Tracking System (FACTS). Areas were flagged as MGMT if they had either Timber Harvest or Hazardous Fuel Treatment prior to the first LiDAR acquisition in 2009. Areas where treatments occurring after 2009 were not used. MPB was identified using cumulative Aerial Detection Survey data (ADS) between 2000 and 2006, as these dates were observed to correspond with peak mortality from the most recent outbreak. Due to noise in the ADS data, a 3x3 moving window was used to smooth mortality estimates. A threshold of 6 trees per hectare was also used to separate MPB from background mortality, based on findings in McCarley (2016). Finally, all pixels were assigned a pre-fire condition based on these data and identified as to whether they were affected by the Pole Creek Fire, using the following codes:
0 - MGMT occurred after 2009 (not used); 111 - No Fire, No MPB, No MGMT; 112 - Yes Fire, No MPB, No MGMT; 121 - No fire, No MPB, Yes MGMT; 122 - Yes Fire, No MPB, Yes MGMT; 211 - No Fire, Yes MPB, No MGMT; 212 - Yes Fire, Yes MPB, No MGMT; 221 - No Fire, Yes MPB, Yes MGMT; 222 - Yes Fire, Yes MPB, Yes MGMT.

McCarley, T. Ryan. 2016. Estimation of Landscape-scale Fire Effects from Multi-temporal LiDAR. University of Idaho, Moscow, Idaho (Master's thesis).
Source_Used_Citation_Abbreviation:
FACTS
Source_Used_Citation_Abbreviation:
ADS
Process_Date: 2014
Source_Produced_Citation_Abbreviation:
Prefire_Condition
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
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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: 0.9996
Longitude_of_Central_Meridian: -123.00000
Latitude_of_Projection_Origin: 0
False_Easting: 500000.0
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30
Ordinate_Resolution: 30
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: World Geodetic System of 1984
Ellipsoid_Name: World Geodetic System of 1984
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.25722210088
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: LiDAR Metrics
Entity_Type_Definition:
Estimates for change in forest structure between 2009 and 2013 derived from LiDAR.
Entity_Type_Definition_Source:
Derived from 2009 and 2013 LiDAR data.
Attribute:
Attribute_Label: dCC
Attribute_Definition:
Change in canopy cover
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dCD
Attribute_Definition:
Change in canopy density
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dCRR
Attribute_Definition:
Change in canopy relief ratio
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dMHT
Attribute_Definition:
Change in mean vegetation height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dMSFH
Attribute_Definition:
Change in mean surface fuels height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dS1
Attribute_Definition:
Change in percent of returns < 1-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dS2
Attribute_Definition:
Change in percent returns > 1-meter and <= 5-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dS3
Attribute_Definition:
Change in percent returns > 5-meter and <= 8-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dS4
Attribute_Definition:
Change in percent returns > 8-meter and <= 20-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dS5
Attribute_Definition:
Change in percent returns > 20-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dSD
Attribute_Definition:
Change in standard deviation of vegetation height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dSKW
Attribute_Definition:
Change in skewness of vegetation height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdCC
Attribute_Definition:
Relative change in canopy cover
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdCD
Attribute_Definition:
Relative change in canopy density
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdCRR
Attribute_Definition:
Relative change in canopy relief ratio
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdMHT
Attribute_Definition:
Relative change in mean vegetation height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdMSFH
Attribute_Definition:
Relative change in mean surface fuel height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdS1
Attribute_Definition:
Relative change in percent of returns < 1-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdS2
Attribute_Definition:
Relative change in percent of returns > 1-meter and <= 5-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdS3
Attribute_Definition:
Relative change in percent of returns > 5-meter and <= 8-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdS4
Attribute_Definition:
Relative change in percent of returns > 8-meter and <= 20-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdS5
Attribute_Definition:
Relative change in percent of returns > 20-meter
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdSD
Attribute_Definition:
Relative change in standard deviation of vegetation height
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdSKW
Attribute_Definition:
Relative change in skewness of vegetation height
Attribute_Definition_Source:
USFS
Detailed_Description:
Entity_Type:
Entity_Type_Label: Spectral Indices
Entity_Type_Definition:
Spectral change indices between 2011 and 2013 derived from Landsat.
Entity_Type_Definition_Source:
Derived from 2011 and 2013 Landsat.
Attribute:
Attribute_Label: d74
Attribute_Definition:
Delta band 7/4 ratio
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: d75
Attribute_Definition:
Delta band 7/5 ratio
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dB
Attribute_Definition:
Delta blue (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dCSI
Attribute_Definition:
Delta char soil index
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dG
Attribute_Definition:
Delta green (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dMIRBI
Attribute_Definition:
Delta mid-infrared bi-spectral index
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dNBR
Attribute_Definition:
Delta normalized burn ratio
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dNDVI
Attribute_Definition:
Delta normalized differenced vegetation index
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dNDWI
Attribute_Definition:
Delta normalized water index
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dNIR
Attribute_Definition:
Delta near infrared (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dPC1
Attribute_Definition:
Delta principle component 1
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dPC2
Attribute_Definition:
Delta principle component 2
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dPC3
Attribute_Definition:
Delta principle component 3
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dR
Attribute_Definition:
Delta red (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dSAVI
Attribute_Definition:
Delta soil adjusted vegetation index
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dSWIR1
Attribute_Definition:
Delta short wave infrared 1 (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dSWIR2
Attribute_Definition:
Delta short wave infrared 2 (Landsat band)
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dTCB
Attribute_Definition:
Delta tasseled cap brightness
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dTCG
Attribute_Definition:
Delta tasseled cap greenness
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: dTCW
Attribute_Definition:
Delta tasseled cap wetness
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: RdNBR
Attribute_Definition:
Relative delta normalized burn ratio
Attribute_Definition_Source:
USFS
Detailed_Description:
Entity_Type:
Entity_Type_Label: Mask
Entity_Type_Definition:
Raster identifying areas that should be masked from spectral indices due to water/snow interfering with change analysis.
Entity_Type_Definition_Source:
Manually digitized from Pole Creek Fire perimeter and Landsat imagery.
Attribute:
Attribute_Label: OID
Attribute_Definition:
Unique identification assigned to each record (ObjectID)
Attribute_Definition_Source:
ESRI
Attribute:
Attribute_Label: Value
Attribute_Definition:
Code value representing different areas that should be masked
Attribute_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition:
areas not to be analyzed (i.e., water or snow)
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition:
areas that can be used outside the fire
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition:
areas that can be used inside the fire
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute:
Attribute_Label: Count
Attribute_Definition:
Count of cells with the specified value
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: MASK
Attribute_Definition:
Description of the areas that should be masked
Attribute_Definition_Source:
USFS
Detailed_Description:
Entity_Type:
Entity_Type_Label: Prefire_Condition
Entity_Type_Definition:
Status of pre-fire condition with regards to mountain pine beetle (MPB) and forest management (MGMT), as well as whether an area was burned in the Pole Creek Fire.
Entity_Type_Definition_Source:
Derived from USDA Forest Service Forest Activity Tracking System and Areal Detection Survey Data.
Attribute:
Attribute_Label: OID
Attribute_Definition:
Unique identification assigned to each record (ObjectID)
Attribute_Definition_Source:
ESRI
Attribute:
Attribute_Label: Value
Attribute_Definition:
Code value representing the status of pre-fire condition
Attribute_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition:
MGMT occurred after 2009 (not used)
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 111
Enumerated_Domain_Value_Definition:
No Fire, No MPB, No MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 112
Enumerated_Domain_Value_Definition:
Yes Fire, No MPB, No MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 121
Enumerated_Domain_Value_Definition:
No fire, No MPB, Yes MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 122
Enumerated_Domain_Value_Definition:
Yes Fire, No MPB, Yes MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 211
Enumerated_Domain_Value_Definition:
No Fire, Yes MPB, No MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 212
Enumerated_Domain_Value_Definition:
Yes Fire, Yes MPB, No MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 221
Enumerated_Domain_Value_Definition:
No Fire, Yes MPB, Yes MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 222
Enumerated_Domain_Value_Definition:
Yes Fire, Yes MPB, Yes MGMT
Enumerated_Domain_Value_Definition_Source:
USFS
Attribute:
Attribute_Label: COUNT
Attribute_Definition:
Count of cells with the specified value
Attribute_Definition_Source:
USFS
Attribute:
Attribute_Label: CONDITION
Attribute_Definition:
Description of the status of pre-fire condition
Attribute_Definition_Source:
USFS
Overview_Description:
Entity_and_Attribute_Overview:
This data publication contains the following files:

\Data\LiDAR_Metrics.gdb:
ESRI ArcGIS geodatabase containing 24 georeferenced raster digital TIF files of LiDAR derived absolute (d) and relative change (Rd) for: mean vegetation height (MHT), vegetation height standard deviation (SD), vegetation height skewness (SKW), percent of returns < 1-meter (S1), percent of returns ≥ 1-meter and ≤ 5-meter (S2), percent of returns > 5-meter and ≤ 8-meter (S3), percent of returns > 8-meter and ≤ 20-meter (S4), percent of returns > 20-meter (S5), mean surface fuel height (MSFH), percent canopy cover (CC), canopy relief ratio (CRR), canopy density (CD).

\Data\Spectral_Indices.gdb:
ESRI ArcGIS geodatabase containing 21 georeferenced raster digital TIF files of spectral change indices derived from Landsat, including: change in Landsat bands (blue [dB], green [dG], red [dR], near infrared [dNIR], shortwave infrared 1 [dSWIR1], and shortwave infrared 2 [dSWIR2]), delta normalized burn ratio (dNBR), relative delta normalized burn ratio (RdNBR), delta normalized differenced vegetation index (dNDVI), delta mid-infrared bi-spectral index (dMIRBI), delta char soil index (dCSI), delta soil adjusted vegetation index (dSAVI); change in tasseled cap brightness (dTCB), greenness (dTCG), and wetness (dTCW), change in the first three principle components of the change band (dC1, dC2, dC3), delta normalized differenced water index (dNDWI), delta band 7/4 ratio (d74), and delta band 7/5 ratio (d75).

\Data\mask.tif:
Georeferenced raster digital TIF file identifying areas that should be masked from spectral indices due to water/snow interfering with change analysis.

\Data\prefire_condition.tif:
Georeferenced raster digital TIF file containing pre-fire condition with regards to mountain pine beetle (MPB) and forest management (MGMT), as well as whether an area was burned.
Entity_and_Attribute_Detail_Citation:
McCarley, T. Ryan.; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M.S.; Wing, Brian M.; Kellogg, Bryce S.; Kreitler, Jason. 2017. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure. Remote Sensing of Environment. 191: 419-432. https://doi.org/10.1016/j.rse.2016.12.022
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing and physical
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of March 2018. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2018-0017
Distribution_Liability:
Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GDB
Format_Version_Number: see Format Specification
Format_Specification:
ESRI ArcGIS geodatabase
File_Decompression_Technique: Files zipped with 7-Zip 18.01
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2018-0017
Digital_Form:
Digital_Transfer_Information:
Format_Name: TIF
Format_Version_Number: see Format Specification
Format_Specification:
Georeferenced raster digital TIF file
File_Decompression_Technique: Files zipped with 7-Zip 18.01
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2018-0017
Fees: none
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Metadata_Reference_Information:
Metadata_Date: 20191112
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: T. Ryan McCarley c/o Crystal Kolden
Contact_Organization: University of Idaho
Contact_Address:
Address_Type: mailing and physical
Address: University of Idaho
Address: 875 Perimeter Drive MS 1142
City: Moscow
State_or_Province: ID
Postal_Code: 83844-1142
Country: USA
Contact_Voice_Telephone: 720-233-6580
Contact_Electronic_Mail_Address: tmccarley@uidaho.edu
Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
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https://www.fs.usda.gov/rds/archive/products/RDS-2018-0017/_metadata_RDS-2018-0017.html