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174 Titles Match Your Query
Showing 1 through 50 of 174 Next
1. ASTER Imagery [GLCF_ASTER]
The Global Land Cover Facility (GLCF) at the University of Maryland, College Park houses ASTER Level 1B scenes. This effort is in part sponsored by the NASA/JAXA ASTER Program. ...


2. 500m MODIS Vegetation Continuous Field [GLCF_MODIS_VCF]
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 three layers can be properly displayed ...


3. Landsat Scenes from the Global Land Cover Facility (GLCF), University of Maryland [GLCF_LANDSAT_SCENES]
The Global Land Cover Facility (GLCF) of the University of Maryland in College Park, Maryland has Landsat data available for download via FTP. First launched in 1972, the Landsat ...


4. MODIS 250m US NDVI, 16 Day Composite Covering November 16 - December 1, 2000 [GLCF_MODIS_USVI_13]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection to ...


5. MODIS, 500m, 32-Day Global Composites [GLCF_MODIS_32Day_Global]
The 500m 32-day composites available from the GLCF were derived from the MODIS level 3 surface reflectance product called MOD09A1 (8-day Surface Reflectance Composites). These monthly composites were ...


6. Shuttle Radar Topography Mission (SRTM) Data from Global Land Cover Facility [GLCF_SRTM]
The Global Land Cover Facility (GLCF) at the University of Maryland, College Park houses Shuttle Radar Topography Mission (SRTM) data. The Shuttle Radar Topography ...


7. Digital Global Quickbird Imagery [GLCF_QUICKBIRD]
The Global Land Cover Facility (GLCF) at the University of Maryland, College Park houses Digital Globe Quickbird imagery for public use. QuickBird imagery ...


8. MODIS 250m US NDVI, 16 day composite covering Apr. 23 - May 8, 2001 [GLCF_MODIS_USVI_10]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


9. MODIS 250m US NDVI, 16 day composite covering Apr. 7 - Apr. 22, 2001 [GLCF_MODIS_USVI_9]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


10. MODIS 250m US NDVI, 16 day composite covering December 2 - December 17, 2000 [GLCF_MODIS_USVI_14]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection to ...


11. MODIS 250m US NDVI, 16 day composite covering Jan. 1 - Jan. 16, 2001 [GLCF_MODIS_USVI_6]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


12. MODIS 250m US NDVI, 16 day composite covering Mar. 22 - Apr. 6, 2001 [GLCF_MODIS_USVI_8]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


13. MODIS 250m US NDVI, 16 day composite covering Mar. 6 - Mar. 21, 2001 [GLCF_MODIS_USVI_7]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


14. MODIS 250m US NDVI, 16 day composite covering May 25 - Jun. 9, 2001 [GLCF_MODIS_USVI_12]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


15. MODIS 250m US NDVI, 16 day composite covering May 9 - May 24, 2001 [GLCF_MODIS_USVI_11]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


16. MODIS 250m US NDVI, 16 day composite covering Oct. 15 - Oct. 30, 2000 [GLCF_MODIS_USVI_4]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


17. MODIS 250m US NDVI, 16 day composite covering Oct. 31 - Nov. 15, 2000 [GLCF_MODIS_USVI_5]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


18. MODIS 250m US NDVI, 16 day composite covering Sep. 13 - Sep. 28, 2000 [GLCF_MODIS_USVI_2]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


19. MODIS 250m US NDVI, 16 day composite covering Sep. 29 - Oct. 14, 2000 [GLCF_MODIS_USVI_3]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the United States. These data have been reprojected from the native Integerized Sinusoidal projection ...


20. MODIS LBA Mosaic, 16 Day Maximum NDVI Composite [GLCF_MODIS_1]
This is a 16 day maximum NDVI composite of 250m MODIS data. The area covered is the six available MODIS 250m tiles in South America. This includes most of Brazil, Bolivia, and the ...


21. MODIS Pyrogenic Emissions [GLCF_MODIS_SAFARI]
The MODIS burned area product over southern Africa for the month of September 2000 was used to calculate regional biomass burning emissions from grassland and woodland fires for a number ...


22. Reference Layer Data Set for Site #11, Konza Prairie [GLCF_CRESS_35]
The reference layer data set for the Konza Prairie site is derived from ESRI (Earth Systems Research Institute) products. Some of the coverages are primarily from the 1998 ESRI Data & ...


23. Reference Layer Data Set for Site #18, Tapajos [GLCF_CRESS_96]
The reference layer data set for the Tapajos site is derived from ESRI (Earth Systems Research Institute) products. Some of the coverages are primarily from the 1998 "ESRI Data & Maps" ...


24. Satellite Estimates of Radiative Fluxes [GLCF_SERF]
The LBA activity is centered on observations and analyses in the Amazon that will improve information on: -Physical Climate -Carbon Storage and Exchange -Atmospheric ...


25. Soils Data Set for Site #3, Bondville [GLCF_CRESS_60]
This data set shows the soil types and locations within the Bondville site. The data are from a Russian Derivation of the FAO (Food and Agriculture Organization) soils map used by the ...


26. 1 Kilometer Land Cover Product from the University of Maryland [GLCF_GLC_1km]
Over the past several years, researchers have increasingly turned to remotely sensed data to improve the accuracy of data sets that describe the geographic distribution of land cover at regional and ...


27. 8 Kilometer Land Cover Product from the University of Maryland [GLCF_GLC_8km]   CHILD METADATA
This summary is adapted from the Eight Kilometer Global Land Cover Project Document-Data Set Description web page, which may be found at the following URL: "http://glcf.umd.edu/data/landcover/". ...


28. Burned Areas in Russia [GLCF_RUSSIAFOREST]
The Burned Areas in Russia data were produced at the Sukachev Institute of Forestry in Krasnoyarsk, using AVHRR satellite data from the receiving station in Krasnoyarsk as well as from ...


29. Continuos Fields Tree Cover [geodata_1385]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


30. Continuos Fields Tree Cover (Africa) [geodata_1387]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


31. Continuos Fields Tree Cover (Asia) [geodata_1388]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


32. Continuos Fields Tree Cover (Europe) [geodata_1391]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


33. Continuos Fields Tree Cover (Middle East) [geodata_1386]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


34. Continuos Fields Tree Cover (North America) [geodata_1390]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


35. Continuos Fields Tree Cover (South America) [geodata_1389]
This prototype data set contains 1km cells estimating percent tree cover. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models ...


36. Continuous Fields Tree Cover Project [GLCF_TREE_COVER_AVHRR]
Characterization of terrestrial vegetation from the Advanced Very High Resolution Radiometer (AVHRR) on the global to regional scale has traditionally been accomplished using classification schemes ...


37. Deforestation Mapping Group Tree Cover Classification Data Products [glcf-dmg]   CHILD METADATA
The NASA Landsat Pathfinder Humid Tropical Deforestation Project mapped global deforestation for the humid tropics. Data sets from both the TM (Thematic Mapper) and MSS (Multispectral Scanner System) ...


38. Deforestation Mapping Group Tree Cover Classification for Path: 005 Row: 60 Entity ID: glcf-dmg-005060, Brazil and Colombia [glcf-dmg-005060]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. These ...


39. Deforestation Mapping Group Tree Cover Classification for Path: 006 Row: 55 Entity ID: glcf-dmg-006055, Colombia [glcf-dmg-006055]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


40. Deforestation Mapping Group Tree Cover Classification for Path: 006 Row: 66 Entity ID: glcf-dmg-006066, Brazil and Peru [glcf-dmg-006066]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


41. Deforestation Mapping Group Tree Cover Classification for Path: 006 Row: 68 Entity ID: glcf-dmg-006068, Peru [glcf-dmg-006068]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


42. Deforestation Mapping Group Tree Cover Classification for Path: 007 Row: 55 Entity ID: glcf-dmg-007055, Colombia and Venezuela [glcf-dmg-007055]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


43. Deforestation Mapping Group Tree Cover Classification for Path: 007 Row: 58 Entity ID: glcf-dmg-007058, Colombia [glcf-dmg-007058]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


44. Deforestation Mapping Group Tree Cover Classification for Path: 007 Row: 63 Entity ID: glcf-dmg-007063, Peru [glcf-dmg-007063]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


45. Deforestation Mapping Group Tree Cover Classification for Path: 007 Row: 65 Entity ID: glcf-dmg-007065, Peru [glcf-dmg-007065]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


46. Deforestation Mapping Group Tree Cover Classification for Path: 007 Row: 66 Entity ID: glcf-dmg-007066, Peru [glcf-dmg-007066]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


47. Deforestation Mapping Group Tree Cover Classification for Path: 008 Row: 52 Entity ID: glcf-dmg-008052, Colombia and Venezuela [glcf-dmg-008052]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


48. Deforestation Mapping Group Tree Cover Classification for Path: 008 Row: 53 Entity ID: glcf-dmg-008053, Colombia and Venezuela [glcf-dmg-008053]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


49. Deforestation Mapping Group Tree Cover Classification for Path: 008 Row: 59 Entity ID: glcf-dmg-008059, Colombia [glcf-dmg-008059]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


50. Deforestation Mapping Group Tree Cover Classification for Path: 008 Row: 63 Entity ID: glcf-dmg-008063, Peru [glcf-dmg-008063]   PARENT METADATA
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate land cover change analysis. ...


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