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• Organization: Department of the Interior
• Updated: 20250605 | Harvested: September 04, 2025 at 08:01 PM

We provide fractional cover estimates for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from mid-April to late June 2025. The cover estimates reflect...

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• Organization: Department of the Interior
• Updated: 20250624 | Harvested: September 05, 2025 at 07:57 PM

We provide fractional cover estimates for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from mid-April to late June 2025. The cover estimates reflect...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 21, 2025 at 08:42 PM

This data set contains monthly average snow-free surface shortwave albedo calculated for the period 1982-1998 and estimates of background soil/litter reflectances in the visible (0.4-0.7 μm) and...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: September 14, 2025 at 05:31 AM

This dataset provides information on interannual trends in annual maximum vegetation greenness from 1985 to 2019 for recently undisturbed areas in the boreal forest biome. Multi-decadal changes in...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: November 04, 2025 at 09:52 PM

The AG5KMMOH Version 4 dataset was decommissioned as of December 14, 2016. Users are encouraged to use [Version 4.1 ASTER Global Emissivity Dataset, Monthly, 0.05 degree,...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: September 14, 2025 at 05:07 AM

The AG5KMMOH Version 4 dataset was decommissioned as of December 14, 2016. Users are encouraged to use [Version 4.1 of ASTER Global Emissivity Dataset, Monthly, 0.05 degree,...

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• Organization: Department of Agriculture
• Updated: 2024-07-23 | Harvested: June 24, 2025 at 08:21 PM

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Note: To download this...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: October 22, 2025 at 08:53 PM

This dataset provides daily and annual air temperature, river water level, and leaf drop dates coincident with the moose (Alces alces) hunting season (September) for the area surrounding the rural...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: September 14, 2025 at 03:15 AM

The objective of this study was to derive continuous fields of vegetation cover from multi-temporal Advanced Very High Resolution Radiometer (AVHRR) data using all available bands and derived...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 19, 2025 at 06:13 PM

The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e. monitoring land surface...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: September 14, 2025 at 05:31 AM

This dataset provides the summer NDVI trend and trend significance for the period 1984-2012 over Alaska and Canada. The NDVI were calculated per-pixel from all available peak-summer 30-m Landsat 5...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-10 | Harvested: September 14, 2025 at 04:59 AM

These images were produced by averaging the 1-km FASIR-NDVI maps by Jing Chen to a 10' (horizontal) by 5' (vertical) pixel size in a straight latitude/longitude grid. Each pixel represents the...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 16, 2025 at 06:03 PM

The data set consists of a southern African subset of the 1-km Global Land Cover Data Set Derived from AVHRR developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: September 14, 2025 at 03:09 AM

This data set is a subset of Hansen et al. (1999), "1 km Global Land Cover Data Set Derived from AVHRR," which was developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 12, 2025 at 06:09 PM

This data set contains modeled estimates of carbon flux, biomass, and annual burning emissions across the Brazilian state of Mato Grosso from 2000-2006. The model, DEforestation CArbon Flux...

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• Organization: Department of the Interior
• Updated: 20220223 | Harvested: July 16, 2025 at 11:26 AM

Unpiloted aerial system (UAS) flight campaigns were conducted at two rangeland sites in Southwestern Montana during the 2018 growing season to classify vegetation and landcover types. A total of...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 25, 2025 at 08:58 PM

This data set provides Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, smoothed and gap-filled, for the conterminous US for the period...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: September 17, 2025 at 07:49 PM

MIL3YLSN_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land product in netCDF format covering a year version 4. It contains a yearly statistical summary of...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-09-11 | Harvested: October 27, 2025 at 09:01 PM

MI3MLSNF_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 FIRSTLOOK Global Land product in netCDF format covering a month version 2 data product. It contains a monthly statistical...

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• Organization: Department of the Interior
• Updated: 20211116 | Harvested: July 18, 2025 at 12:20 AM

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing...

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