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Source: http://daac.ornl.gov/data/bluangel_harvest/Preparation_for_Archive/LC22_MODIS_VCF_Tree_Cover.xml
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simpleSaveXMLlength: 17970
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OME_version: Version 4.7.5, Revision Date: 04 Apr 2006
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DTD_version: metadata07.dtd
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Creation_datetime: 20080128 203720
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Creation_IP: 72.171.0.142
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File_revision: 20081105 140254
Team_Information
Investigation_Team
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Team_ID: LC-22 (DeFries / Shimabukuro)
Investigator
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Name: Townshend, John
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Email: jrtownsh@geog.umd.edu
Investigator
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Name: DeFries, Ruth
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Email: rdefries@geog.umd.edu
Investigator
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Name: Sohlberg, Rob
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Email: sohlberg@umd.edu
Investigator
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Name: Hansen, Matthew
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Email: mhansen@glue.umd.edu
Investigator
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Name: Dimiceli, Charlene
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Email: cdimicel@geog.umd.edu
Investigator
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Name: Carroll, Mark
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Email: markc@geog.umd.edu
Investigator
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Name: Semeiks, Bethany
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Email: semeiks@geog.umd.edu
Investigator
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Name: Eastman, Jill
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Email: jceast@geog.umd.edu
Contact_Person
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Name: DeFries, Ruth
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Email: rdefries@geog.umd.edu
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LBA_Science_Component: Land Use and Land Cover
Metadata_Author
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Name: Jasinski, Ellen
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Email: ejasinsk@pop900.gsfc.nasa.gov
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Phone: 301-286-2624
Data_Set_Information
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Data_Set_Title: LBA-ECO LC-22 MODIS 500m Vegetation Continuous Fields, Percent Tree Cover: 2001
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Activity: MODIS Land Science Team
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Project: LBA-ECO
Site_Information
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Site: South America
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Region: South America
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Westernmost_Longitude: -82
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Easternmost_Longitude: -34
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Northernmost_Latitude: 16
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Southernmost_Latitude: -63
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Geodetic_Datum: Goode's Homolosine Sphere
Time_Period
Temporal_Coverage
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Start_Date: 20001101
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End_Date: 20011130
- Temporal_Resolution:
Parameter_Description
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Topic: LAND SURFACE
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Term: LAND USE/LAND COVER
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Parameter: LAND COVER
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Sensor: MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)
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Source: COMPUTER MODEL
- Keywords:
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Description: Proportional estimates of cover are developed from global training data derived using high-resolution imagery. The training data and phenological metrics are used with a regression tree to derive percent cover globally. The model is then used to estimate aerial proportions of:
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).
The first release of the MODIS Vegetation Continuous Fields product is now available for download. 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 with emphasis given to bands 1,2, and 7.
- Data_Last_Modified:
Data_Access_Information
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Data_Set_Status: Final
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Data_Set_Restrictions: Public
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Data_Set_Location: LBA DIS / CPTEC
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Data_Center_Contact: LBA-DIS User Services (lba-dis@cptec.inpe.br)
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Data_Center_URL: http://lba.cptec.inpe.br
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Data_Set_Citation: Hansen, M., R. DeFries, J.R. Townshend, M. Carroll, C. Dimiceli and R. Sohlberg. 2008. 500m MODIS Vegetation Continuous Fields (for full name, specify layer: Tree Cover, Bare Cover, Herbaceous Cover). Data set. Available on-line [http://lba.cptec.inpe.br/] from LBA Data and Information System, National Institute for Space Research (INPE/CPTEC), Cachoeira Paulista, Sao Paulo, Brazil.
Intellectual Property Rights: University of Maryland; Department of Geography; use is free to all if citation is indicated as source. UMD holds ultimate copyright.
Data_Set_Link
Data_Set_Link
Poster_Link
Search_Text_Link
Other_Link
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Data_Set_Inventory_ID: LC22_MODIS_VCF_Tree_Cover
LBA_DIS_Archive
LBA_DIS_Archive
LBA_DIS_Archive
Related_Web_Site
Related_Data_Set
- Data_Set_Title:
- Relationship:
Related_Publication_Information
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Publication_Title: Towards an operational MODIS continuous field of percent tree cover algorithm; examples using AVHRR and MODIS data
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Publication_Authors: Hansen, M.C., R.S. DeFries, J.R.G. Townshend, R. Sohlberg, C. Dimiceli, and M. Carroll.
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Publication_Abstract: The continuous fields Moderate Resolution Imaging Spectroradiometer (MODIS) land cover products are 500-m sub-pixel representations of basic vegetation characteristics including tree, herbaceous and bare ground cover. Our previous approach to deriving continuous fields used a linear mixture model based on spectral endmembers of forest, grassland and bare ground training. We present here a new approach for estimating percent tree cover employing continuous training data over the whole range of tree cover. The continuous training data set is derived by aggregating high-resolution tree cover to coarse scales and is used with multi-temporal metrics based on a full year of coarse resolution satellite data. A regression tree algorithm is used to predict the dependent variable of tree cover based on signatures from the multi-temporal metrics. The automated algorithm was tested globally using Advanced Very High Resolution Radiometer (AVHRR) data, as a full year of MODIS data has not yet been collected. A root mean square error (rmse) of 9.06% tree cover was found from the global training data set. Preliminary MODIS products are also presented, including a 250-m map of the lower 48 United States and 500-m maps of tree cover and leaf type for North America. Results show that the new approach used with MODIS data offers an improved characterization of land cover.
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Publication_Citation: 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.
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Publication_Keywords: ALGORITHM;AMERICA;ATMOSPHERE;AVHRR;CLASSIFICATION;COVER;ENDMEMBERS;ERROR;FIELD;FOREST;GLOBAL;GRASSLAND;LAND;LAND COVER;LAND-COVER;LEAF;LEAVES;MODEL;MODIS;MODIS DATA;MULTITEMPORAL;PRODUCTS;RADIOMETER;RANGE;RESOLUTION;SATELLITE;SATELLITE DATA;SCALE;SCIENCE;SPATIAL-RESOLUTION;STATE;TREE;UNITED-STATES;VEGETATION;
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ISBN_Number: ISI:000179160200020
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Internal_Pub_ID: 569
Related_Publication_Information
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Publication_Title: Development of a MODIS tree cover validation data set for Western Province, Zambia
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Publication_Authors: Hansen MC, DeFries RS, Townshend JRG, Marufu L, Sohlberg R
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Publication_Abstract: One of the annual land cover products to be made from Moderate Resolution Imaging Spectroradiometer (MODIS) data is the vegetation continuous fields layers. Of these fields, one is a global percent tree cover map. Using field measurements, IKONOS data, Enhanced Thematic Mapper Plus (ETM+) data, and ancillary map sources, a tree cover map was made and validated for two WRS path/rows in Western Province, Zambia. This map will be used in validating the 500-m global MODIS tree cover product. The map was made at the 30-m Enhanced Thematic Mapper Plus (ETM+) resolution and also scaled up to 250- and 500-m resolutions. Five IKONOS images were classified into crown cover/no crown cover maps at 4-m resolution. These maps were aggregated to 30 m to create a continuous training data set of percent crown cover. Three dates of ETM+ data were acquired to predict percent crown cover using a regression tree algorithm. Comparisons of training accuracies and field data to ETM+ tree estimates yielded root mean square errors (rinse) of similar to +/- 10% crown cover. When aggregating the 30-m map to 250- and 500-m MODIS cell sizes, the training errors are more than halved. The final 250-m map was assessed using a structural vegetation map of the area and an overall rmse of 8.5% is estimated. The 250-m map was sampled and used to derive a tree cover continuous field product using 3 Level 113 MODIS time slices, approximating the acquisitions of the ETM+ data. The results are promising as an overall root mean square error between the ETM+ derived tree crown cover map and an aggregated MODIS 500-m map was 5.2%. Results from this test in Zambia show that the MODIS 250-m bands should allow for improved depictions of percent tree cover.
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Publication_Citation: 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.
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Publication_Keywords: ACCURACY;AERIAL PHOTOGRAPHS;ALGORITHM;AREA;CLASSIFICATIONS;COVER;DISCOVER;DYNAMICS;ERROR;FIELD;FIELD-MEASUREMENTS;GLOBAL;GRASSLAND;IKONOS;IMAGERY;IMAGES;LAND;LAND COVER;LAND-COVER;LANDSCAPE;LAYER;MODIS;PRODUCTS;RESOLUTION;SATELLITE;SCIENCE;SPATIAL-RESOLUTION;THEMATIC MAPPER;TIME;TREE;VALIDATION;VEGETATION;WORLD;
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ISBN_Number: ISI:000179160200021
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Internal_Pub_ID: 570
Related_Publication_Information
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Publication_Title: Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm
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Publication_Authors: M. C. Hansen, R. S. DeFries, J. R. G. Townshend, M. Carroll, C. Dimiceli and R. A. Sohlberg
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Publication_Abstract: The first results of the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous field algorithm's global percent tree cover are presented. 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. Initial validation efforts show a reasonable relationship between the MODIS-estimated tree cover and tree cover from validation sites.
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Publication_Citation: 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.
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Publication_Keywords: ALGORITHM;AVHRR;AVHRR DATA;CONTINUOUS FIELDS;COVER;FIELD;FOREST MAPPING;GLOBAL;GLOBAL-SCALE;MODIS;MODIS DATA;PIXEL;RESOLUTION;SCALE;SPATIAL-RESOLUTION;REGRESSION TREE;VALIDATION;VEGETATION;
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ISBN_Number: http://dx.doi.org/10.1175/1087
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Internal_Pub_ID: 680
Data_Set_Documentation
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Data_Set_Overview: Proportional estimates of cover are developed from global training data derived using high-resolution imagery. The training data and phenological metrics are used with a regression tree to derive percent cover globally. The model is then used to estimate aerial proportions of: life form (proportion of woody vegetation, herbaceous vegetation, or bare ground); leaf type (proportion of woody vegetation that is needleleaf or broadleaf); leaf longevity (proportion of woody vegetation that is evergreen or deciduous).
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Data_Characteristics: The three data files included are percent trees, bare, and herbaceous.
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.
The global product is freely available at http://glcf.umiacs.umd.edu/data/modis/vcf/
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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.
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Quality_Assessment: Initial validation efforts show a reasonable relationship between the MODIS-estimated tree cover and tree cover from validation sites.
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Data_Acquisition_Materials_and_Methods: This product is an annual representation of percent tree cover for the period from Nov. 2000 to Nov. 2001. This product will be generated annually on one year's worth of data. This product is also available in MODIS tile format from the EDC DAAC.
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.
- Data_Access:
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References: Hansen, M. C., and R. S. DeFries, 2004. Detecting long term global forest change using continuous fields of tree cover maps from 8km AVHRR data for the years 1982 to 99. Ecosystems, 7,695-716.
Hansen, M. C., R. S. DeFries, J. R. G. Townshend, and R. Sohlberg, 2000. Global land cover classification at 1km spatial resolution using a classification tree approach. Int. J. Remote Sens., 21, 1331-1364.
Venables, W. N., and B. D. Ripley, 1994. Modern Applied Statistics with S-Plus. Springer-Verlag, New York, 462 pp.