Search Data.gov
Found 457 dataset(s) matching "NDVI".
-
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...
-
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...
-
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025 (ver. 8.0, June 2025)
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...
-
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025 (ver. 9.0, June 2025)
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...
-
This data set contains four tables of information regarding the sampling of plant biomass, nitrogen, cumulative thaw degree days, precipitation, and Normalized Difference Vegetation Index (NDVI)...
-
Landslide-generated tsunamis pose significant hazards, but developing models to assess these hazards presents unique challenges. George and others (2017) present a new methodology in which a...
-
We integrated 250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) with land cover, biogeophysical (e.g., soils, topography) and...
-
This raster dataset represents normalized difference vegetation index (NDVI) values calculated from National Agricultural Imagery Program (NAIP) spectral data for the vegetated evapotranspiration...
-
This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated...
-
UAEMRDLS_004 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Land Product covering a day subset for the UAE region version 4. It contains a daily statistical summary...
-
The daily Vegetation Water Content (VWC) maps for the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12) were derived by calculating Normalized Difference Vegetation Index (NDVI)...
-
We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al. 2014), which is based on Callaway et al. (1996), to examine SLR projections across each study site. Each cohort in the model...
-
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...
-
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the...
-
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,...
-
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...
-
Evaluation of historical water use in the Upper Rio Grande Basin (URGB) using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as a first of its kind study...
-
This data set provides daily average observations for evapotranspiration (measured and gap-filled), precipitation, net radiation, soil water content, air temperature, vapor pressure deficit, and...
-
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the...
-
We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al. 2014), which is based on Callaway et al. (1996), to examine SLR projections across each study site. Each cohort in the model...