SMAPVEX12 Vegetation Water Content Map V001

Description

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) from SPOT and RapidEye satellite overpasses and then interpolating it for each day of the campaign. In addition, samples from a range of vegetation types were used to compare ground-based measurements to the satellite-based estimates.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2F4C7MN0KJILTI
21 NASA's newest search and order tool for subsetting, reprojecting, and reformatting data. https://search.earthdata.nasa.gov/search?q=SV12VWC+V001
21 Direct download via HTTPS protocol. https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3284168452-NSIDC_CPRD
21 Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. https://doi.org/10.5067/4C7MN0KJILTI
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGLM%2FGRID%2FDATA101
21 Files may be downloaded directly to your workstation from this link https://search.earthdata.nasa.gov/search?q=glmgoesL3%2Fdata%2F
33 Geostationary Lightning Mapper (GLM) GOES-R Series https://www.goes-r.gov/education/docs/Factsheet_GLM.pdf
21 GOES-R: Mission Overview https://www.goes-r.gov/mission/mission.html
33 GOES-R Series Product Definition and Users’ Guide (PUG) https://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf
21 Instruments: Geostationary Lightning Mapper (GLM) https://www.goes-r.gov/spacesegment/glm.html
33 GLM Lightning Cluster-Filter Algorithm https://www.star.nesdis.noaa.gov/goesr/documents/ATBDs/Baseline/ATBD_GOES-R_GLM_v3.0_Jul2012.pdf
33 The guide document contains detailed information about the dataset https://ghrc.nsstc.nasa.gov/pub/glm/grid/doc/glmgoesL3_dataset.pdf
21 Meteorological Imagery for the Geostationary Lightning Mapper https://doi.org/10.1029/2019JD030874
21 The GOES-R Geostationary Lightning Mapper (GLM) https://doi.org/10.1016/j.atmosres.2013.01.006
21 Instructions for citing GHRC data https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data

Tags

  • biosphere
  • vegetation
  • earth-science

Topics

Categories