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Investigation:

LC-22 (DeFries / Shimabukuro)

LBA Dataset ID:

LC22_MODIS_VCF_TREE_COVER

Originator(s):

1. HANSEN, M.C.
2. DEFRIES, R.S.
3. TOWNSHEND, J.R.G.
      4. CARROLL, M.
5. DIMICELI, C.
6. SOHLBERG, R.A.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

Proportional estimates of vegetation cover were developed using vegetation phenology metrics from MODIS and a global database of training sites with estimates of vegetation cover derived from high-resolution imagery. The relationship between training data and MODIS phenological metrics was used to develop a regression tree classifier to derive estimates of percent vegetation cover globally. The model estimates the aerial proportion of vegetation in each 500m grid cell according to: 1) life form (proportion of woody vegetation, herbaceous vegetation, or bare ground), 2) leaf type (proportion of woody vegetation that is needleleaf or broadleaf)
3) leaf longevity (proportion of woody vegetation that is evergreen or deciduous).

Beginning Date:

2000-11-01

Ending Date:

2001-11-30

Metadata Last Updated on:

2012-09-14

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO LC-22 Vegetation Cover Types from MODIS, 500-m, South America: 2000-2001:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1112

Documentation/Other Supporting Documents:

LBA-ECO LC-22 Vegetation Cover Types from MODIS, 500-m, South America: 2000-2001:  http://daac.ornl.gov/LBA/guides/LC22_MODIS_VCF_Tree_Cover.html

Citation Information - Other Details:

Hansen, M., R. DeFries, J.R. Townshend, M. Carroll, C. Dimiceli and R. Sohlberg. 2012. LBA-ECO LC-22 Vegetation Cover Types from MODIS, 500-m, South America: 2000-2001. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1112

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND COVER BIOSPHERE TERRESTRIAL ECOSYSTEMS LABORATORY MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)
LAND COVER BIOSPHERE TERRESTRIAL ECOSYSTEMS TERRA (MORNING EQUATORIAL CROSSING TIME SATELLITE) MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)

Uncontrolled Theme Keyword(s):  BRAZILIAN AMAZON, FORESTS, LAND COVER, MODIS, SOUTH AMERICA

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
    16.00000 -63.00000 -34.00000 -82.00000

Related Publication(s):

Hansen, M.C., R.S. DeFries, J.R.G. Townshend, L. Marufu, and R. Sohlberg. 2002. Development of a MODIS tree cover validation data set for Western Province, Zambia. Remote Sensing of Environment 83(1-2):320-335.

Hansen, M.C., R.S. DeFries, J.R.G. Townshend, M. Carroll, C. Dimiceli, and R.A. Sohlberg. 2003. Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm. Earth Interactions 7(10):1-15.

Hansen, M.C., R.S. DeFries, J.R.G. Townshend, R. Sohlberg, C. Dimiceli, and M. Carroll. 2002. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sensing of Environment 83(1-2):303-319.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

The three data files in this dataset are titled as follows: Goodes.SA.2001.Bare.tif.gz

Goodes.SA.2001.Herb.tif.gz

Goodes.SA.2001.Tree.tif.gz





Vegetation Continuous Fields

8-bit unsigned integer file

11264 pixels by 16032 lines



Projection: Goode\'s Homolosine

Earth Ellipsoid: Sphere, rad 6370997 m

Datum: Sphere



Upper Left Corner : -9276500.000 E 1630500.000 N

Upper Right Corner : -3644500.000 E 1630500.000 N

Image Centre : -6460500.000 E -2377500.000 N

Lower Left Corner : -9276500.000 E -6385500.000 N

Lower Right Corner : -3644500.000 E -6385500.000 N



Pixel Size : 500.000 E 500.000 N



Values

0-100 = percent cover

203 = interrupted space

253 = water

251 = bad data





This product contains three available layers which add up

to represent 100% ground cover. The first layer represents percent tree

cover, the second represents percent herbaceous ground cover. and the

third layer represents percent bare ground cover. The three layers can be

properly displayed in a Red, Green, Blue band combination.



These files are in a tif format and are importable to any image viewing software.

Data Application and Derivation:

Percent tree cover per 500-m MODIS pixel is estimated using a supervised regression tree algorithm. Data derived from the MODIS visible bands contribute the most to discriminating tree cover. The results show that MODIS data yield greater spatial detail in the characterization of tree cover compared to past efforts using AVHRR data. This finer-scale depiction should allow for using successive tree cover maps in change detection studies at the global scale.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

This product is a representation of percent tree cover for the period from Nov. 2000 to Nov. 2001. Initial validation efforts show a reasonable relationship between the MODIS-estimated tree cover and tree cover from validation sites.

Process Description:

Data Acquisition Materials and Methods:

This product was generated from monthly composites of 500 meter resolution MODIS data. The MOD09A1 Surface Reflectance 8 day composites were used as inputs to the 32 day composites. Compositing was based on the second darkest albedo to remove clouds and cloud shadow. All 7 500m bands were used to derive metrics for the calculation of the percent tree cover.

References:

none cited

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