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Ground sample data for the conterminous U.S. land cover characteristics database .
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Ground sample data for the conterminous U.S. land cover characteristics database .
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Title
Ground
sample
data
for the
conterminous
U.S
.
land
cover
characteristics
database
.
Contributor
Burgan, Robert E. ;<br> Rocky Mountain Research Station--Ogden.
Description
Ground
sample
data
were
collected
for a
land
cover
database
and
raster
map
that
portray
159
vegetation
classes
at
1
km²
resolution
for the
conterminous
United
States
.
Location
for
3,500
1
km²
ground
sample
plots
were
selected
randomly
across
the
United
States
. The
number
of
plots
representing
each
vegetation
class
was
weighted
by the
proportionate
coverage
of
each
vegetation
class
.
Field
data
collected
for
2,560
of these
plots
included
dominant
vegetation
species
;
coverage
,
height
, and
diameter
estimates
of
major
tree
species
;
coverage
,
depth
, and
density
estimates
for
shrubs
and
grasses
; and
photographs
of the
sample
plots
. These
data
were
compared
to
vegetation
labels
assigned
in the
USGS
,
EROS
Data
Center's
Land
Cover
Characteristics
(LCC)
database
. The
vegetation
types
were
comparable
in
most
cases
, but the
ground
data
provided
labels
ordered
according
to
decreasing
vegetation
frequency
. A
formal
accuracy
assessment
of the
LCC
map
was not
attempted
.
All
data
are
available
on
CD-ROM
from the
EROS
Data
Center
.
Publisher
Ogden, UT : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [1999]
Subject
Vegetation
mapping
-
-
United
States
. ; <br>
Land
use
-
-
United
States
.
Relation
General technical report RMRS ; GTR-41.
Source
A 13.88:RMRS-GTR-41
Date Original
1999-11-01
Date Digital
2007
;
Type
text
Format
application/pdf
Resource Identifier
mtg002101
Contributing Institution
The University of Montana
Language
en
Digitization Specifications
Scanned by Lacey Gibbons using an OpticBook 3600 scanner at 400 dpi, 8 bit gray scale. Master images stored as TIFF and derivatives presented as PDF. Abbey FineReader 8.0 used for optical character recognition.
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