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1. 2004 USGS/NASA Experimental Advanced Airborne Research Lidar (EAARL): Northern Gulf of Mexico, Post-Hurricane Ivan [gov.noaa.csc.maps.usgs2004_northgulf_postivan_m1123]
ASCII xyz point cloud data were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS) and National Air and Space Administration ...


2. 2006 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Cumberland and York Counties, Maine [gov.noaa.csc.maps.me2006_fema_cumberlandyork_m2479]
In the fall of 2006, Sanborn Map Company was contracted by Camp Dresser McKee, Inc (CDM) to execute a LiDAR (Light Detection and Ranging) survey campaign in the state of Maine. LiDAR data in the form ...


3. 2006 MDEQ-FEMA Hinds County Lidar Survey [gov.noaa.csc.maps.ms2006_mdeq_fema_hindscounty_m2562]
This metadata record describes the acquisition and processing of bare earth lidar data, raw point cloud lidar data, lidar intensity data, and floodmap breaklines consisting of a total of 203 sheets ...


4. 2006 OSIP OGRIP Coastal Counties LiDAR Survey [gov.noaa.csc.maps.oh2006_ogrip_coastalcounties_m2534]
The 2006 OSIP digital LiDAR data was collected during the months of March and May (leaf-off conditions). The LiDAR covers the entire land area of the northern tier of Ohio (approximately 23,442 square ...


5. 2006 OSIP OGRIP: Upland Counties LiDAR Survey [gov.noaa.csc.maps.oh2006_ogrip_uplandcounties_m2544]
The 2006 OSIP digital LiDAR data was collected during the months of March and May (leaf-off conditions). The LiDAR covers the entire land area of the northern tier of Ohio (approximately 23,442 square ...


6. 2006-2008 PAMAP LiDAR Data of Pennsylvania (Northern Counties) [gov.noaa.csc.maps.pa2006_2008_pamap_north_m2573]
This dataset consists of classified LiDAR (Light Detection and Ranging) elevation points produced by the PAMAP Program. PAMAP data are organized into blocks, which do not have gaps or overlaps, that ...


7. 2006-2008 PAMAP LiDAR Data of Pennsylvania (Southern Counties) [gov.noaa.csc.maps.pa2006_2008_pamap_south_m2574]
This dataset consists of classified LiDAR (Light Detection and Ranging) elevation points produced by the PAMAP Program. Additional information is available at the PAMAP website: www.dcnr.state.pa.us/topogeo/pamap. ...


8. 2007 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Sumpter, OR [gov.noaa.csc.maps.or2007_pslc_sumpter_m2606]
Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data for the USDA Forest Service on September 17, 2007. The project covers an 8-mile reach of the Powder River in northeast ...


9. 2009 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Fort Kent, Maine [gov.noaa.csc.maps.me2009_fema_fortkent_m2481]
Camp Dresser McKee Inc. contracted with Sanborn Map Company to provide LiDAR mapping services for Fort Kent, Maine. Utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the ...


10. 2009 U.S. Geological Survey (USGS) Topographic LiDAR: Androscoggin County, Maine [gov.noaa.csc.maps.me2009_usgs_androscoggin_m2480]
USGS Contract Number: G10PC00026 USGS Task Order: G10PD01737 LiDAR was collected at a 1.0 points per square meter (1.0m GSD) for the county of Androscoggin, Maine while no snow was on the ground and ...


11. 2010 Federal Emergency Management Agency (FEMA) Topographic Lidar: Coastal Massachusetts and Rhode Island [gov.noaa.csc.maps.ne2010_fema_coastalmari_m2555]
Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the ...


12. 2010 U.S. Geological Survey (USGS) ARRA Topographic LiDAR: Coastal Maine [gov.noaa.csc.maps.me2010_usgs_coastal_m2477]
USGS Contract: G10PC00026 Task Order Number: G10PD02143 Task Order Number: G10PD01027 LiDAR was collected at a 2.0 meter nominal post spacing (2.0m GSD) for approximately 3,197 square miles of coastal ...


13. 2010 U.S. Geological Survey Topographic LiDAR: Atchafalaya Basin, Louisiana [gov.noaa.csc.maps.usgs2010_AtchafalayaBasinLouisiana_m1433]
The Light Detection and Ranging (LiDAR) dataset is a survey of the Atchafalaya Basin in south-central Louisiana. The entire survey area encompasses 981 square miles. The LiDAR point cloud was flown ...


14. 2011 Federal Emergency Management Agency (FEMA) Topographic Lidar: Massachusetts and Rhode Island [gov.noaa.csc.maps.ne2011_fema_mari_m2557]
This data set is a combination of 3 seperate FEMA collections (Blackstone, Charles-Quincy and Narragansett) with similar specifications. See the Ground Control process step for further information ...


15. 2011 MDEQ Tennessee-Tombigbee Waterway Lidar Survey [gov.noaa.csc.maps.ms2011_mdeq_tenn_tombigbee_m2560]
Collect and deliver high-density elevation point data derived from multiple-return light detection and ranging (LiDAR) measurements for use in supporting topographic analysis, including applications ...


16. 2011 U.S. Army Corps of Engineers (USACE) Topographic LiDAR: Alabama, Mississippi and Louisiana [gov.noaa.csc.maps.se2011_ncmp_almsla_m2610]
These files contain classified topographic and bathymetric lidar data as unclassified valid topographic data (1), valid topographic data classified as ground (2), Invalid topographic data classified ...


17. 2011 U.S. Army Corps of Engineers (USACE) Topographic LiDAR: Massachusetts and New Hampshire [gov.noaa.csc.maps.ne2011_ncmp_manh_m2611]
These files contain classified topographic and bathymetric lidar data as unclassified valid topographic data (1), valid topographic data classified as ground (2), noise (7), and valid bathymetric ...


18. 2011 U.S. Geological Survey Topographic LiDAR: LiDAR for the North East [gov.noaa.csc.maps.ne2011_usgs_lftne_m2524]
USGS Contract: G10PC00026, Task Order Number: G10PD02143 Task Order Numbers: G10PD01027 (ARRA) and G10PD02143 (non-ARRA) The LiDAR for the North East Project, funded in large part by the American ...


19. 2012 MDEQ-FEMA Madison-Yazoo Lidar Survey [gov.noaa.csc.maps.ms2012_mdeq_fema_madison_yazoo_m2561]
The project entails the acquisition and processing of LiDAR for approximately 1,265 square miles covering areas of Madison and Eastern Yazoo Counties. Collect and deliver high-density elevation point ...


20. 2012 MEGIS Topographic Lidar: Statewide Lidar Project Area 1 (Aroostook), Maine [gov.noaa.csc.maps.me2012_megis_aroostook_m2581]
LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement ...


21. 2012 MEGIS Topographic Lidar: Statewide Lidar Project Areas 2 and 3 (Mid-Coastal Cleanup), Maine [gov.noaa.csc.maps.me2012_megis_midcoastal_m2582]
LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement ...


22. 2012 NRCS-USGS Tupelo, MS Lidar Survey [gov.noaa.csc.maps.ms2012_usgs_nrcs_tupelo_m2559]
LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement ...


23. 2012 U.S. Geological Survey Topographic Lidar: Northeast Atlantic Coast Post-Hurricane Sandy [gov.noaa.csc.maps.ne2012_usgs_postsandy_m2488]
Binary point-cloud data were produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made ...


24. 2013 MDEQ-FEMA Rankin-Simpson Co. Lidar Survey [gov.noaa.csc.maps.ms2013_mdeq_fema_rankinsimpson_m2595]
Fugro as a subconsultant to MGI was authorized to undertake this project, as a part of Work Order No. 112, dated November 1, 2012, issued to MGI in accordance with the terms and conditions of the ...


25. GPM, GMI Level 3 Daily GPROF Profiling V03A (GPM_3GPROFGPMGMI_DAY) at GES DISC [GES_DISC_GPM_3GPROFGPMGMI_DAY_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


26. GPM, GMI Level 3 Monthly GPROF Profiling V03A (GPM_3GPROFGPMGMI) at GES DISC [GES_DISC_GPM_3GPROFGPMGMI_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


27. GPM, METOP-A, GMI,MHS Level 3 Daily GPROF Profiling V03A (GPM_3GPROFMETOPAMHS_DAY) at GES DISC [GES_DISC_GPM_3GPROFMETOPAMHS_DAY_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


28. GPM, METOP-A, GMI,MHS Level 3 Monthly GPROF Profiling V03A (GPM_3GPROFMETOPAMHS) at GES DISC [GES_DISC_GPM_3GPROFMETOPAMHS_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


29. GPM, METOP-B, GMI,MHS Level 3 Daily GPROF Profiling V03A (GPM_3GPROFMETOPBMHS_DAY) at GES DISC [GES_DISC_GPM_3GPROFMETOPBMHS_DAY_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


30. GPM, METOP-B, GMI,MHS Level 3 Monthly GPROF Profiling V03A (GPM_3GPROFMETOPBMHS) at GES DISC [GES_DISC_GPM_3GPROFMETOPBMHS_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


31. GPM, NOAA18, GMI,MHS Level 3 Daily GPROF Profiling V03A (GPM_3GPROFNOAA18MHS_DAY) at GES DISC [GES_DISC_GPM_3GPROFNOAA18MHS_DAY_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


32. GPM, NOAA18, GMI,MHS Level 3 Monthly GPROF Profiling V03A (GPM_3GPROFNOAA18MHS) at GES DISC [GES_DISC_GPM_3GPROFNOAA18MHS_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


33. GPM, NOAA19, GMI,MHS Level 3 Daily GPROF Profiling V03A (GPM_3GPROFNOAA19MHS_DAY) at GES DISC [GES_DISC_GPM_3GPROFNOAA19MHS_DAY_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


34. GPM, NOAA19, GMI,MHS Level 3 Monthly GPROF Profiling V03A (GPM_3GPROFNOAA19MHS) at GES DISC [GES_DISC_GPM_3GPROFNOAA19MHS_V03A]
3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality ...


35. MODIS/Terra Near Real Time (NRT) Coarse Sea Ice Extent 5-Min L2 Swath 5km, Version 5 [MOD29L2C_C5_NRT]
MODIS/Terra Near Real Time (NRT) Coarse Sea Ice Extent 5-Min L2 Swath 5km (MOD29) data set contains fields for sea ice by reflectance, sea ice by reflectance pixel Quality Assessment (QA), Ice Surface ...


36. MODIS/Terra Near Real Time (NRT) Coarse Snow Cover 5-Min L2 Swath 5km, Version 5 [MOD10L2C_C5_NRT]
The MODIS/Terra Near Real Time (NRT) Coarse Snow Cover 5-Min L2 Swath 5km (MOD10L2C) data set contains snow cover and Quality Assessment (QA) data, latitudes and longitudes in compressed Hierarchical ...


37. MODIS/Terra Near Real Time (NRT) Level 3 Daily Rolling-8-Day Surface Reflectance Global 250m V005 [MOD09Q1N_C5_NRT]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


38. MODIS/Terra Near Real Time (NRT) Surface Reflectance Quality Daily L2G Global 1km SIN Grid V005 [MOD09GST_C5_NRT]
The MODIS Near Real Time (NRT) level-2G 1km surface reflectance data state QA product MOD09GST, is a restructured version of its primary input, the state QA data in MOD09_L2. This ...


39. MODIS/Terra Near Real Time (NRT) Surface Reflectance Rolling-8-Day L3 Global 500m SIN Grid V005 [MOD09A1N_C5_NRT]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


40. MODIS/Terra Near Real Time (NRT) Thermal Anomalies/Fire 5-Min L2 Swath 1km [MOD14_C5_NRT]
MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when ...


41. MODIS/Terra Vegetation Indices Daily Rolling-8-Day L3 Global 250m SIN Grid V005 [MOD13Q4N_C5_NRT]
The MODIS Near Real Time (NRT) Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, ...


42. MODIS/Terra Vegetation Indices Daily Rolling-8-Day L3 Global 500m SIN Grid V005 [MOD13A4N_C5_NRT]
The MODIS Near Real Time (NRT) Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, ...


43. 2004 ENSR Bare Earth Topographic Lidar: Hampden County, Massachusetts [gov.noaa.csc.maps.ma2004_ensr_hampden_m2577]
Spectrum Mapping was tasked by ENSR International (now a subsidiary of AECOM Technology Corporation) to collect LIDAR data and digital ortho imagery to generate breaklines and a bare earth DEM to ...


44. 2004 Federal Emergency Management Agency (FEMA) Bare Earth Topographic LiDAR: Connecticut River [gov.noaa.csc.maps.ct2004_fema_connecticutriver_m1473]
LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. The LiDAR files were converted from .PTS format to LAS V1.2. All data is Bare Earth, with ...


45. 2004 SWFWMD Citrus County Lidar Survey [gov.noaa.csc.maps.fl2004_swfwmd_citruscounty_be_m2553]
This metadata record describes the ortho & LIDAR mapping of Citrus County, FL. The mapping consists of LIDAR data collection, contour generation, and production of natural color orthophotography with ...


46. 2005 Southwest Florida Water Management District (SWFWMD) LiDAR: Marion County [gov.noaa.csc.maps.fl2005_swfwmd_marionco_m2546]
Digital terrain models (DTM) provide a 3-dimensional representation of the earth's surface. The DTM for the Southwest Florida Water Management District project was used for orthoimagery rectification ...


47. 2005 Southwest Florida Water Management District (SWFWMD) LiDAR: Weeki Wachee [gov.noaa.csc.maps.fl2005_swfwmd_weekiwachee_m2545]
This data set is one component of a digital terrain model (DTM) for Weeki Wachee, Hernando County, Florida encompassing approximately 13.5 square miles. This dataset is comprised of 15 LiDAR files, ...


48. 2006 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Coastal Connecticut [gov.noaa.csc.maps.ct2006_fema_coastal_m1468]
LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. By positioning laser range finding with the use of 1 second GPS with 100hz inertial measurement ...


49. 2006 Federal Emergency Management Agency (FEMA) Topographic Lidar: Bristol and Plymouth Counties, Massachusetts [gov.noaa.csc.maps.ma2006_fema_bristolplymouth_m2602]
FEMA Contract No. EME-2003-CO-0340 FEMA Task Order T018 Sanborn Map Company furnished the collection and processing, and development of Lidar and contours using photogrammetry to support the FEMA ...


50. 2006 U.S. Geological Survey Topographic LiDAR: Alameda County [gov.noaa.csc.maps.ca2006_usgs_alameda_m1474]
The Light Detection and Ranging (LiDAR) data set is a survey of Alameda County in Northern California. The entire survey covers approximately 868.382 square miles. The Nominal Point Density of this ...


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