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Investigation:

LC-15 (Saatchi / Alvala)

LBA Dataset ID:

LC15_MODIS_TREECOVER

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.
7. SAATCHI, S.S.

Point(s) of Contact:

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

Dataset Abstract:

This data set contains proportional estimates for the vegetative cover types of woody vegetation, herbaceous vegetation, and bare ground over the Amazon Basin for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of MODIS 32-day composites were used to create the vegetation cover types using the Vegetation Continuous Fields (VCF) (Hansen et al., 2002) approach which shows how much of a land cover such as forest or grassland exists anywhere on the land surface. The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated. The original MODIS products are 500-m spatial resolution and are derived from 2000-2001 data products. The data were resampled to 1-km resolution for the regional study under this project, and provided as 3 separate cover type files in ENVI and GeoTIFF file formats that are provided in six zipped files. These products are registered to the rest of the regional data sets over the Amazon basin.
These data are also available for download from the Global Land Cover Facility Website (http://modis.umiacs.umd.edu/).

Beginning Date:

2000-10-31

Ending Date:

2001-12-09

Metadata Last Updated on:

2011-08-22

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-15 Vegetation Cover Types from MODIS, 1-km, Amazon Basin: 2000-2001:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1035

Documentation/Other Supporting Documents:

LBA-ECO LC-15 Vegetation Cover Types from MODIS, 1-km, Amazon Basin: 2000-2001:  http://daac.ornl.gov/LBA/guides/LC15_MODIS_TreeCover.html

Citation Information - Other Details:

Hansen, M.C., R.S. DeFries, J.R.G. Townshend, M. Carroll, C. Dimiceli, R.A. Sohlberg, and S.S. Saatchi. 2011. LBA-ECO LC-15 Vegetation Cover Types from MODIS, 1-km, Amazon Basin: 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/1035

Keywords - Theme:

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

Uncontrolled Theme Keyword(s):  BACKSCATTER , IMAGE DATA, LAND COVER TYPES, QSCAT, SURFACE MOISTURE , TERRA, VEGETATION

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  AMAZON BASIN 13.69440 -21.12730 -34.22140 -82.72080

Related Publication(s):

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: Paper No. 10

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Code values: 0-100: Percent of pixel covered by land cover type; 253: water



Projection: Geographic with WGS84 datum





Data Files: This data set contains three images, each in both ENVI standard format and GeoTIFF format and are provided in six zipped files.



The three zip files with ENVI files contain _envi in their file name and when extrapolated contain an ENVI image (*_envi.dat) and an ENVI image header file (*_envi.hdr).

The three zip files with GeoTIFF files contain _geotiff in their file name and when extrapolated contain a GeoTIFF image (*_geotiff.tif) and a GeoTIFF header file (*_geotiff.tfw) file.

bare_envi.zip:



bare_envi.dat

bare_envi.hdr

bare_geotiff.zip:



bare_geotiff.tif

bare_geotiff.tfw

herbaceous_envi.zip:



herbaceous_envi.dat

herbaceous_envi.hdr

herbaceous_geotiff.zip:



herbaceous_geotiff.tif

herbaceous_geotiff.tfw

tree_envi.zip:



tree_envi.dat

tree_envi.hdr

tree_geotiff.zip:



tree_geotiff.tif

tree_geotiff.tfw

Header File Example: bare_envi.hdr

ENVI

description = {

C:\WorkSpace\DAAC\LBA\LC_15\LC15_MODIS_TreeCover\bare.dat}

samples = 5900

lines = 4200

bands = 1

header offset = 0

file type = ENVI Standard

data type = 1

interleave = bsq

byte order = 0

map info = {Geographic Lat/Lon, 1, 1, -82.72175685, 13.69440556, 0.0082204056075, 0.0082204056075,WGS-84}

coordinate system string = {GEOGCS[GCS_WGS_1984,DATUM[D_WGS_1984,SPHEROID

[WGS_1984,6378137.0,298.257223563]],PRIMEM[Greenwich,0.0],UNIT[Degree,0.017453292519943295]]}

band names = { (Band 1}

Data Application and Derivation:

Standardized maps of forest cover from the regional to global scale are essential to a number of purposes including biogeochemical modeling, delineating remaining intact forest and woodland tracts for conservation and management concerns, and monitoring ecological succession. Repeated efforts at mapping over time can offer important insights into land use intensification and land cover change as well as offering insight into future dynamics. The synoptic view of global satellite data sets affords the best possibility of creating such maps. MODIS sensors offer much finer resolution, and greater spatial spectral response compared to AVHRR.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

To reduce the presence of cloud shadows, the data were converted to 40-day composites using a second darkest albedo (sum of B, G and R bands) algorithm. An extra 40 day composite period was added to compensate for data gaps resulting from temporary sensor outages.



Validation data for the percent tree cover maps based on the MODIS images were developed using ETM+/IKONOS at the 500-m, 1,000-m and 2,000-m scales.

Process Description:

Data Acquisition Materials and Methods:

This study employed approximately 1 year of MODIS imagery data (31 October 2000 to 9 December 2001).



The 7 MODIS land bands were used as inputs: blue (459-479 nm), green (545- 565 nm), red (620-670 nm), near infrared (841-876 nm), and mid-infrared (1,230-1,250, 1,628-1,652, 2,105-2,155 nm). A total of 68 metric were derived from the 7 MODIS bands and the Normalized Difference Vegetation Index (NDVI) and these were used as inputs for estimating percent tree cover. The derivation of the metrics and training data is fully described in Hansen et al. (2002).



The MODIS continuous fields of vegetation cover algorithm described in Hansen et al. (2002) is an automated procedure that employs a regression tree algorithm (Venables and Ripley, 1994). The regression tree is a nonlinear, distribution free algorithm that is highly suited for handling the complexity of global spectral land cover signatures. Outputs from the regression tree are further modified by a stepwise regression and bias adjustment per Hansen et al. (2003). The output of the algorithm is percent canopy cover defined as the amount of sunlight blocked by canopies equal to or greater than 5 meter in height.

References:

Hansen, M.C., R.S. DeFries, J.R.G. Townsend, R.A. Sohlberg, C. Dimiceli and M. Carrol. 2002. Towards an operational MODIS continuous field of percent tree cover algorithm: Examples using AVHRR and MODIS data. Remote Sens. Environ. 83, 303-319.



Venables, W.N. and B.D. Ripley. 1994. Modern Applied Statistics with S-Plus. Springer-Verlag, New York 462 pp.



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: Paper No. 10.

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