Smithsonian Environmental
Research Center
Bhatt, Gopal & Duffy, Christopher
Estimation
of the vegetation parameters for the National Land Cover Data 2001 classes to
drive PIHM
I. Mapping of representative class
UMD Classification a |
NLCD 2001 Classification b |
0 – Water |
10 – Open
Water 11 – Open
Water (0.90 x C0 + 0.10 x C6) 12 –
Perennial Ice/Snow (0.80 x C0 + 0.20 x C6) |
1 –
Evergreen Needle Leaf forest |
|
2 –
Evergreen Broadleaf forest |
42 – Evergreen
Forest (0.60 x C2 + 0.40 x C10) |
3 – Deciduous
Needle leaf forest |
|
4 –
Deciduous Broadleaf forest |
41 –
Deciduous Forest (0.60 x C4 + 0.40 x C10) |
5 – Mixed
Cover |
43 –
Mixed Forest (0.60 x C5 + 0.40 x C10) |
6 –
Woodland |
40 – Forested
Upland (0.65 x C6) 91 – Palustrine Forested Wetland (0.60 x C6) 93 – Estuarine
Forested Wetland (0.60 x C6) |
7 –
Wooded Grassland |
92 – Palustrine Scrub/Wetland (0.60 x C7) 94 – Estuarine
Scrub/Wetland (0.60 x C7) |
8 –
Closed Shrub land |
50 – Shrub
land (C8) 52 – Shrub/Scrub
(0.60 x C8) 90 –
Woody Wetlands (0.60 x C8 + 0.40 x C12) |
9 – Open
Shrub land |
51 – Dwarf
Scrub (0.60 x C9) 95 – Emergent
Herbaceous Wetland (0.60 x C9 + 0.40 x C12) |
10 –
Grassland |
70 – Herbaceous
upland (0.85 x C10) 71 – Grassland/Herbaceous
(0.90 x C10) 72 – Sedge/Herbaceous
(0.90 x C10) 73 – Lichens
(0.90 x C10) 74 – Moss
(0.90 x C10) 80 – Planted/Cultivated
(0.90 x C10) 96 – Palustrine Emergent Wetland (0.80 x C10 + 0.20 x C2) 97 – Estuarine
Emergent Wetland (0.80 x C10 + 0.20 x C4) 98 – Palustrine Aquatic Bed (0.20 x C10) 99 – Estuarine
Aquatic Bed (0.20 x C10) |
11 –
Cropland |
81 –
Pasture/Hay (0.60 x C11) 82 –
Cultivated Crops (0.60 x C11) |
12 – Bare
ground |
30 –
Barren (C12) 31 –
Barren Land (0.92 x C12 + 0.08 x C9) 32 –
Unconsolidated (C12) |
13 –
Urban & Built-up |
20 – Developed
(0.65 x C13) 21 –
Developed, Open Space (0.90 x C13 + 0.10 x C10) 22 –
Developed, Low Intensity (0.35 x C13 + 0.65 x C10) 23 –
Developed, Medium Intensity (0.65 x C13 + 0.35 x C10) 24 –
Developed, High Intensity (0.90 x C13 + 0.10 x C10) |
II. Derivation of vegetation parameters using above mapping
scheme
LDAS vegetation
parameters were used via. (1) Microsoft Excel, (2) PIHMgis
III. Uncertainty quantization in the form of upper and lower
bounds
Using
the minimum and maximum bounds instead of mean
a. http://www.epa.gov/mrlc/nlcd-2001.html
b. http://www.glcf.umd.edu/data/landcover
Hansen, M., R. DeFries, J.R.G. Townshend, and R. Sohlberg
(1998), UMD Global Land Cover Classification, 1 Kilometer, 1.0, Department of
Geography, University of Maryland, College Park, Maryland, 1981-1994.
http://ldas.gsfc.nasa.gov/gldas/GLDASmapveg.php