MoscowMtStJoe {yaImpute}

Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data

Description

Data used to compare the utility of discrete-return light detection and ranging (LiDAR) data and multispectral satellite imagery, and their integration, for modeling and mapping basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho, USA.

Usage

data(MoscowMtStJoe)

Format

A data frame with 165 rows and 64 columns:

Ground based measurements of trees:

• ABGR_BA - Basal area (m^2/ha) of ABGR

• ABLA_BA - Basal area (m^2/ha) of ABLA

• ACGL_BA - Basal area (m^2/ha) of ACGL

• BEOC_BA - Basal area (m^2/ha) of BEOC

• LAOC_BA - Basal area (m^2/ha) of LAOC

• PICO_BA - Basal area (m^2/ha) of PICO

• PIEN_BA - Basal area (m^2/ha) of PIEN

• PIMO_BA - Basal area (m^2/ha) of PIMO

• PIPO_BA - Basal area (m^2/ha) of PIPO

• POBA_BA - Basal area (m^2/ha) of POBA

• POTR_BA - Basal area (m^2/ha) of POTR

• PSME_BA - Basal area (m^2/ha) of PSME

• SAEX_BA - Basal area (m^2/ha) of SAEX

• THPL_BA - Basal area (m^2/ha) of THPL

• TSHE_BA - Basal area (m^2/ha) of TSHE

• TSME_BA - Basal area (m^2/ha) of TSME

• UNKN_BA - Basal area (m^2/ha) of unknown species

• Total_B - Basal area (m^2/ha) total over all species

• ABGR_TD - Trees per ha of ABGR

• ABLA_TD - Trees per ha of ABLA

• ACGL_TD - Trees per ha of ACGL

• BEOC_TD - Trees per ha of BEOC

• LAOC_TD - Trees per ha of LAOC

• PICO_TD - Trees per ha of PICO

• PIEN_TD - Trees per ha of PIEN

• PIMO_TD - Trees per ha of PIMO

• PIPO_TD - Trees per ha of PIPO

• POBA_TD - Trees per ha of POBA

• POTR_TD - Trees per ha of POTR

• PSME_TD - Trees per ha of PSME

• SAEX_TD - Trees per ha of SAEX

• THPL_TD - Trees per ha of THPL

• TSHE_TD - Trees per ha of TSHE

• TSME_TD - Trees per ha of TSME

• UNKN_TD - Trees per ha of unknown species

• Total_T - Trees per ha total over all species

Geographic Location, Slope and Aspect:

1. EASTING - UTM (Zone 11) easting at plot center

2. NORTHING - UTM (Zone 11) northing at plot center

3. ELEVATION - Mean elevation (m) above sea level over plot

4. SLPMEAN - Mean slope (percent) over plot

5. ASPMEAN - Mean aspect (degrees) over plot

Advanced Land Imager (ALI):

1. B1MEAN - Mean of 30 m ALI band 1 pixels intersecting plot

2. B2MEAN - Mean of 30 m ALI band 2 pixels intersecting plot

3. B3MEAN - Mean of 30 m ALI band 3 pixels intersecting plot

4. B4MEAN - Mean of 30 m ALI band 4 pixels intersecting plot

5. B5MEAN - Mean of 30 m ALI band 5 pixels intersecting plot

6. B6MEAN - Mean of 30 m ALI band 6 pixels intersecting plot

7. B7MEAN - Mean of 30 m ALI band 7 pixels intersecting plot

8. B8MEAN - Mean of 30 m ALI band 8 pixels intersecting plot

9. B9MEAN - Mean of 30 m ALI band 9 pixels intersecting plot

10. PANMEA - Mean of 10 m PAN band pixels intersecting plot

11. PANSTD - Standard deviation of 10 m PAN band pixels intersecting plot

LiDAR Intensity:

1. INTMEAN - Mean of 2 m intensity pixels intersecting plot

2. INTSTD - Standard deviation of 2 m intensity pixels intersecting plot

3. INTMIN - Minimum of 2 m intensity pixels intersecting plot

4. INTMAX - Maximum of 2 m intensity pixels intersecting plot

LiDAR Height:

1. HTMEAN - Mean of 6 m height pixels intersecting plot

2. HTSTD - Standard deviation of 6 m height pixels intersecting plot

3. HTMIN - Minimum of 6 m height pixels intersecting plot

4. HTMAX - Maximum of 6 m height pixels intersecting plot

LiDAR Canopy Cover:

1. CCMEAN - Mean of 6 m canopy cover pixels intersecting plot

2. CCSTD - Standard deviation of 6 m canopy cover pixels intersecting plot

3. CCMIN - Minimum of 6 m canopy cover pixels intersecting plot

4. CCMAX - Maximum of 6 m canopy cover pixels intersecting plot

Source

Dr. Andrew T. Hudak
USDA Forest Service
Rocky Mountain Research Station
1221 South Main
Moscow, Idaho, USA 83843

References

Hudak, A.T.; Crookston, N.L.; Evans, J.S.; Falkowski, M.J.; Smith, A.M.S.; Gessler, P.E.; Morgan, P. (2006). Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data. Can. J. Remote Sensing. 32(2):126-138. https://www.tandfonline.com/doi/abs/10.5589/m06-007