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153 Titles Match Your Query
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1. 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 ...


2. 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 ...


3. 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 ...


4. 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 ...


5. Global Land Survey Digital Elevation Model (GLSDEM) [GLCF_glsdem]
The Global Land Survey Digital Elevation Model (GLSDEM) is a spatial data collection crucial to new global imagery products from NASA and the USGS. In the late 1990s, the U.S. Congress set aside funding ...


6. 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 ...


7. 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 ...


8. Marsh Surface Health Indices for the Eastern U.S. from NASA/University of Maryland Coastal Marsh Project [GLCF.Coastal_Marsh_Project]
The data produced by the Marsh Project consist of multiple images depicting marsh surface condition for coastal marshes along the Eastern Coast of the United States. Coverage is not continuous spatially, ...


9. 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 ...


10. 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 ...


11. Global 1Km Land Cover - UMD Legend (Africa) [geodata_1379]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


12. Global 1Km Land Cover - UMD Legend (Middle East) [geodata_1378]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


13. Global 1Km Land Cover - UMD Legend (North America) [geodata_1382]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


14. Global 1Km Land Cover - UMD Legend [geodata_1377]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


15. Global 1Km Land Cover - UMD Legend (Europe) [geodata_1383]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


16. Global 1Km Land Cover - UMD Legend (South America) [geodata_1381]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


17. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #24, Park Falls [GLCF_CRESS_46]
This data set shows the EDC land cover classifications within the Park Falls site. The EROS Center uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution Radiometer) ...


18. Global 1Km Land Cover - UMD Legend (Asia) [geodata_1380]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


19. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #19, Uardy [GLCF_CRESS_99]
The EROS Data_Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution Radiometer) composites. Imagine and Arc/INFO were both used in the analysis and ...


20. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #9, Ji-Parana [GLCF_CRESS_87]
This data set shows the EDC land cover classifications within the Ji-Parana site. The EROS Data Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


21. EOS Land Validation Core Site Characterization Data Set; EDC Land Cover Data Set for Site #4, BOREAS_NSA [GLCF_CRESS_62]
This data set shows the EDC land cover classifications within the BOREAS_NSA site. The EROS Data Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


22. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #21, USDA ARS [GLCF_CRESS_110]
This data set shows the EDC land cover classifications within the USDA ARS site. The EROS Data_Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


23. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #3, Bondville [GLCF_CRESS_57]
This data set shows the EDC land cover classifications within the Bondville site. The EROS Data Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


24. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #6, Cascades [GLCF_CRESS_72]
This data set shows the EDC land cover classifications within the Cascades site. The EROS Data Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


25. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #1, ARM-CART [GLCF_CRESS_47]
This data set shows the EDC land cover classifications within the ARM-CART site. The EROS Data Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


26. EOS Land Validation Core Site Characterizations Data Set; EDC Land Cover Data Set for Site #20, Mandalgobi [GLCF_CRESS_105]
This data set shows the EDC land cover classifications within the Mandalgobi site. The EROS Data_Center (EDC), uses Land Cover data which are derived from the 1km AVHRR (Advanced Very High Resolution ...


27. Deforestation Mapping Group Tree Cover Classification Data Products [glcf-dmg]   CHILD DIFs
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) ...


28. Deforestation Mapping Group Tree Cover Classification for Path: 005 Row: 60 Entity ID: glcf-dmg-005060, Brazil and Colombia [glcf-dmg-005060]   PARENT DIF
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 ...


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


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


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


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


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


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


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


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


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


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


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


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


41. Deforestation Mapping Group Tree Cover Classification for Path: 009 Row: 55 Entity ID: glcf-dmg-009055, Colombia [glcf-dmg-009055]   PARENT DIF
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate ...


42. Deforestation Mapping Group Tree Cover Classification for Path: 230 Row: 71 Entity ID: glcf-dmg-230071, Bolivia [glcf-dmg-230071]   PARENT DIF
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate ...


43. Deforestation Mapping Group Tree Cover Classification for Path: 232 Row: 70 Entity ID: glcf-dmg-232070, Bolivia [glcf-dmg-232070]   PARENT DIF
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 ...


44. Deforestation Mapping Group Tree Cover Classification for Path: 233 Row: 56 Entity ID: glcf-dmg-233056, Guyana and Venezuela [glcf-dmg-233056]   PARENT DIF
To provide co-registered Landsat data sets and tree cover maps to researchers and other interested users and to provide data that will facilitate ...


45. EOS Land Validation Core Site Characterizations Data Set; Elevation Data Set for Site #6, Cascades [GLCF_CRESS_73]
This data set shows the elevation characteristics of the site specified above. Parameters specified in this data set include site elevation, mean, minimum and maximum elevation, mean ...


46. EOS Land Validation Core Site Characterizations Data Set; Elevation Data Set for Site #8, Howland [GLCF_CRESS_83]
This data set shows the elevation characteristics of the site specified above. Parameters specified in this data set include site elevation, mean, minimum and maximum elevation, ...


47. EOS Land Validation Core Site Characterizations Data Set; Elevation Data Set for Site #9, Ji-Parana [GLCF_CRESS_88]
This data set shows the elevation characteristics of the site specified above. Parameters specified in this data set include site elevation, mean, minimum and maximum elevation, ...


48. EOS Land Validation Core Site Characterizations Data Set; UMD Land Cover Data Set for Site #1, ARM-CART [GLCF_CRESS_51]
This data set shows the UMD land cover classifications within the ARM-CART site. The University of Maryland (UMD), uses land cover data which are derived from the 1km AVHRR ...


49. EOS Land Validation Core Site Characterizations Data Set; UMD Land Cover Data Set for Site #11, Konza Prairie [GLCF_CRESS_2]
This data set shows the UMD land cover classifications within the Konza Prairie site. The University of Maryland (UMD), uses land cover data which are derived from the 1km ...


50. EOS Land Validation Core Site Characterizations Data Set; UMD Land Cover Data Set for Site #12, Krasnoyarsk [GLCF_CRESS_7]
This data set shows the UMD land cover classifications within the Krasnoyarsk site. The University of Maryland (UMD), uses land cover data which are derived from the 1km AVHRR ...


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