Knowledgebase

This is not a video, but you can view real-time views of Earth from the vantage point of the Earth.

https://epic.gsfc.nasa.gov/


Image Policy: Materials published by the NASA EPIC Team, including imagery, are freely available for re-production or re-use, including commercial purposes. We ask that the NASA EPIC Team be given credit for the original materials.

For further information on the NASA media usage guidelines, please visit https://www.nasa.gov/multimedia/guidelines/index.html.


All DSCOVR EPIC data products are archived and publicly distributed through the NASA Langley Atmospheric Science Data Center

Also, our sister agency NOAA does offer a video option for this:

https://www.nesdis.noaa.gov/content/imagery-and-data


If you have any further questions, please let us know.


Earthdata Support

The GCMD holds more than 35,000 Earth science data set and service descriptions, which cover subject areas within the Earth and environmental sciences.  The project mission is to assist researchers, policy makers, and the public in the discovery of and access to data, related services, and ancillary information (which includes descriptions of instruments and platforms) relevant to global change and Earth science research.  Within this mission, the directory also offers online authoring tools to providers of data and services, facilitating the capability to make their products available to the Earth science community.  In addition, citation information to properly credit data set contributions is offered, along with direct links to data and services.  As an integral part of the project, keyword vocabularies have been developed and are constantly being refined and expanded.  These vocabularies are also used in other applications within the broader scientific community.  Users may perform searches through the Directory’s website using controlled keywords, free-text searches, map/date searches or any combination of these.  Users may also search or refine a search by data center, location, instrument, platform, project, or temporal/spatial resolution.

If you have a data set or service that is relevant to global change, consider advertising to the scientific community through the GCMD using the docBUILDER metadata authoring tool. The GCMD is not limited to governmental datasets nor is it restricted to freely distributed data. It is open to anyone having data or services that may advance our understanding of Earth and its systems, from the smallest, micro-scale dataset to the largest global satellite downloads. All are welcome.

In addition, you as the data holder both maintain control of the data and its distribution (the GCMD is a data locator) as well as receive credit for the data. For holders of a great deal of data or services, the GCMD is a convenient way to maintain a descriptive index of your data or service for your own reference as well. Best of all, both searching for and including dataset and service descriptions is completely free.

To add or modify descriptions in the GCMD, visit http://gcmd.nasa.gov/collaborate/docbuilder.html

Daymet User-Community Contributed Tools

Please note that these community contributed tools have had limited testing by the ORNL Daymet group and are provided for your convenience.

MATLAB functions to download and merge Daymet tiles

Developed and contributed by Chao Li, PhD at Carnegie Institution of Science at Stanford University.

This toolkit consists of two MATLAB functions: 'daymetGet' and 'daymetMerge'. The 'daymetGet' function allows a user to download data for separate Daymet variables for different tiles and years. The downloaded data are automatically saved in MATLAB's current working directory. The output naming convention is: parname_tileid_year.nc. Different tiles can be merged together in terms of the 'daymetMerge' function. A coordinate file is provided, daymetCoordinate.mat, that is needed with the daymetMerge.m function. For greater details about how to use the functions, a 'demo' script is provided.

Download a zip file containing the two MATLAB functions, a MATLAB demo, and a coordinate file: MATLAB_Daymet.zip  (143MB).

DaymetR, A Daymet Single Pixel and Gridded Data Download Tool for R

Developed and contributed by Koen Hufkens, PhD at the Richardson Lab at Harvard University.

Koen writes, "As I'm extensively using daily meteorological data to drive my grassland model, quick and easy access to this data is key. However accessing single pixel values through the java tool provided was a bit cumbersome and did not fit my workflow. As such I wrote my own tool which queries the website and allows you to subset time series of a single pixel location (given a latitude, longitude position) all within R. Data is either just downloaded to the current working directory or imported as a structured array into your R workspace for further analysis or formatting. In addition, similar functionality is provided to download gridded Daymet data based upon a single set of coordinates or a bounding box of two coordinates."

Koen's website and a link to his bitbucket site is at DaymetR 

ArcMap Tool - Get_Daymet_Tiles

Developed and contributed by Mark R Nardi and others of the USGS, MD-DE-DC Water Science Center, DE Office. 
This tool allows a user to download multiple Daymet netCDF files for one year, one variable, by interacting with selected polygons in the shape file called Tiles2_52N.shp. The output naming convention currently is: tilename_variable_year.nc . To use the tool, unzip the DaymetToolbox.zip file into \\ArcGIS\Desktop10.0\ArcToolbox\Toolboxes. It should create a DaymetTiles.tbx file and a folder called pyScripts. You can then add the toolbox in ArcMap. The tool should be considered a testing version. Be aware that the tool does not check for or keep track of interrupted and incomplete downloads. This tool has been tested on ArcMap 10 installed on a 32 bit Windows 7 machine.

Download the ArcMap Get Daymet Tiles  scripts.

ArcGIS 10.0 and Python Scripts to Download, Convert, and Mosaic Daymet Tiles

Developed and contributed by Stefanie Bohms of SGT, Inc. a Contractor to the USGS, EROS Center. 
This set of scripts was developed with ArcGIS and the Python programming language to automate the process of downloading Daymet netCDF files, converting the netCDF format to a standard raster format for a Daymet variable, and deriving a mosaic raster file. To use the scripts, download the Daymet_Scripts.zip file and refer to the Readme.docx file included. You will need ArcGIS 10.0 to run the Convert netCDF to raster files script. ArcGIS 10.1 is required for the mosaic script.

Download the ArcGIS and Python Daymet  scripts.

Joining Daymet Tiles with NCL

The website Joining Daymet Tiles with NCL  is maintained by Dave Allured of the NOAA/PSD/CIRES Climate Analysis Branch. Dave is developing scientific software to spatially join or mosaic Daymet netCDF files using the NCAR Command Language (NCL).

Download the supplemental Version 3 Daymet 2-D Coordinate Grid netCDF file  . 
Download the supplemental Version 2 Daymet 2-D Coordinate Grid netCDF file  .

NCAR's NCL Page and Daymet Tiles

The National Center for Atmospheric Research (NCAR) maintaines a website, NCL Application Examples: Daymet  , demonstrating the use of the NCAR Command Language (NCL) with Daymet data.

ORNL Daymet Tools

Multiple Coordinates Extractor

Download a script for automated data extraction at multiple locations  for the Single Pixel Extraction.

See the README.txt file for instructions for multiple location extraction.

Converting netCDF to GeoTiff using GDAL

Download a document describing how to convert and merge Daymet netCDF files  using the Geospatial Data Abstraction Library (GDAL).

Automate Downloading of netCDF Files from THREDDS Server

Download a document describing how to automate the download of Daymet netCDF files  from the THREDDS Daymet Tile server for a known range of years and Tile ID.

Download a document describing how to automate the download of Daymet Mosaic netCDF version 4 files  from the THREDDS Daymet Mosaic server for a known range of years.

Daymet netCDF Files in ArcGIS

The User's Guide for the Daymet Tile Selection Data PDF includes a brief description of using netCDF files in ArcGIS.

Daymet Graphical Visualization

The Daymet visualization and mapping interface provided by the "Visualize Data" button on the Single Pixel Extraction data page was been developed using the Google Visualization API  .

The FIRMS MODIS Archive Download tool provides NRT data and, as it becomes available, it is replaced with data extracted from the standard MCD14ML fire product produced at the MODIS Fire Science Computing Facility (SCF).

Your two files contain i) MODIS NRT data and ii) e standard MCD14ML to ensure users clearly distinguish between the 2 data sources.

Please see the FAQ: What is the difference between NRT and Standard quality fire data? (https://earthdata.nasa.gov/firms-faq#ed-nrt-standard)

For a list of attribute fields for the MODIS data: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/c6-mcd14dl#ed-firms-attributes
Both MCD14ML and MCD14DL are processed using the same MOD14 Fire and Thermal Anomalies Algorithm but the the NRT version (MCD14DL) uses predicted (attitude and ephemeris) geolocation and the standard / science quality version (MCD14ML) uses definitive (attitude and ephemeris) geolocation.
The difference between MODIS geolocation when using predicted vs. definitive attitude and ephemeris is routinely less than 100 meters.   However, there are situations, particularly before and after spacecraft maneuvers and during space weather events, when the difference can increase up to several kilometers. The recommendation from EOSDIS is to reprocess data when the definitive attitude and ephemeris data become available.

More information on each dataset -
MCD14DL: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/c6-mcd14dl
MCD14ML: http://modis-fire.umd.edu/pages/ActiveFire.php?target=MCD14ML

The distortion you note is due to the display of the data in geographic coordinates. In this case the data are displayed in latitude/longitude coordinates based on their location on a three-dimensional sphere representing the Earth. When the data are portrayed this way in a viewer, some particular distortion is apparent. However, when geographic data are also projected onto a 2-dimensional plane using a map projection, there is no one perfect projection that has no distortion or error either. Map projections typically do well at maintaining one or more of the basic spatial properties (shape, area, distance, direction), but not all of them. As an example, some web map viewers/applications display data using Web Map Mercator projection. The properties of this projection introduces scale distortion and makes features in the higher latitudes appear larger than they are in reality. This is just one common example, but there are always tradeoffs when displaying geographic data.

You can download MODIS and VIIRS hotspot data (as shown in Web Fire Mapper: https://firms.modaps.eosdis.nasa.gov/firemap/) from the FIRMS archive download tool:
https://firms.modaps.eosdis.nasa.gov/download/

Please note the MODIS archive is made up of standard quality data when available (approximately 2 months after overpass) and the near real-time data. The difference between the two is explained in the FAQs: https://earthdata.nasa.gov/firms-faq#ed-nrt-standard

It is recommended you review the FAQs before using the data and consult the relevant user guides for MODIS and VIIRS:
https://earthdata.nasa.gov/firms-faq#ed-user-guides

Please note: there is a limit on how much data you can download at once, so you may have to break up your request in to smaller requests - depending on the size of your area of interest and date range.

I hope this helps
Diane Davies
FIRMS User Support

You can opt to receive a .CSV file for your fire email alert from FIRMS and this can be opened in EXCEL using the File / import option. See instructions below:

First, save the CSV file to you computer

You can open this in EXCEL using the following -

In Go to File on the top menu
/ select import
/ select CSV then select import
/ choose the CSV file you saved from your alert
/ select "delimited" for the file type that best describes your data
/ select "next"
make sure "comma" is selected as a delimiter,
/select finish

you should now be able to read the data in an Excel spreadsheet.

For information on the attributes go to:
MODIS: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/c6-mcd14dl#ed-firms-attributes
VIIRS: https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/v1-vnp14imgt#ed-viirs-375m-attributes

Please try the following:
Go to https://firms.modaps.eosdis.nasa.gov/alerts/
enter your email address and hit proceed
select create fire alert

in the drop down box that says "World" select "custom region" then "Use Map"
on the map Select "Streets" from the Basemaps menu on the bottom of the screen. From here you should be able to zoom in and draw a polygon around the protected areas.

A GCMD "portal" is defined as a virtual subset of the complete content of the directory. Recognizing the importance of customization for partner organizations, the staff generates subset views of the GCMD directory through "conceptual" portals. Portals have facilitated focused views for organizations to maintain and document their data in one place (within the directory), without duplicating the effort to create another online directory.

Many organizations acknowledge the importance of metadata related to their area of interest but do not have the resources to manage the content. Portals offer a targeted science or application-specific focus for other agencies, science focus groups, consortia, etc.

Portals may be branded with the logo of an organization, while offering the full functionality of the GCMD search engine and tools.

Using a portal (of which content is a "virtual subset") is advantageous in that as metadata are added to the subset, they are also freely available from the GCMD's comprehensive search pages for scientists in other disciplines to access and use.

View the list of GCMD portals at http://gcmd.nasa.gov/add/portals.html

ED| How to request access to Earthdata Tools

Relates to:Access

Table of Contents

Purpose

Refer to this guide when requesting access to Earthdata's Issue tracking (JIRA), and Requirements management (RMS) tools.

Requirements

  • A URS account

Instructions

  1. Go to the Earthdata website.

  2. Click on the 'Feedback' button.

  3. Enter you information in the webform.
    • Entering the word 'ACCESS' in the Subject field helps with the route and response to your ticket.
    • Please enter the following information in the 'Details' field:
      • Your URS username.
      • The email with which you registered your URS account.
      • The tool(s) to which you would like to have access.
      • The JIRA, RMS project or Wiki space to which you would like access granted.

Earthdata Dialog with User informaton

  1. Enter your name and the email address to which Earthdata support should send notifications about this request.
  2. Click the submit button at the bottom of the form.

The Daymet calendar is based on a standard calendar year. All Daymet years have 1 - 365 days, including leap years. For leap years, the Daymet dataset includes leap day. Values for December 31 are discarded from leap years to maintain a 365-day year.

The daily data is available in a couple of formats. You can get the gridded data, by variable, in netCDF file format by downloading either individual tiles of the data or downloading the entire spatial extent from our ftp site. If you want to subset the mosaic, you can do that through our THREDDS Data Server. You can also download individual pixel daily data using the Single Pixel Extraction tool. If you have several locations and want to automate that, a script is available. Below are links to each of those options, all of which are found from the Daymet web site.

Daymet web site: https://daymet.ornl.gov/
Daymet Tile Download: https://daymet.ornl.gov/gridded.html
FTP Download of Mosaic Files: ftp://daac.ornl.gov/data/daymet/Daymet_mosaics/data/
THREDDS Data Server of Mosaic Files: http://thredds.daac.ornl.gov/thredds/catalog/ornldaac/1219/catalog.html
Single Pixel Extraction Tool (link to script): https://daymet.ornl.gov/singlepixel.html

The Earthdata Login provides a single mechanism for user registration and profile management for all EOSDIS system components (DAACs, Tools, Services). Your Earthdata login also helps the EOSDIS program better understand the usage of EOSDIS services to improve user experience through customization of tools and improvement of services. EOSDIS data are openly available to all and free of charge except where governed by international agreements.

To register for an account, please visit:
https://urs.earthdata.nasa.gov/oauth/authorize?client_id=YQOhivHfMTau88rjbMOVyg&response_type=code&redirect_uri=https://daac.ornl.gov/cgi-bin/urs/urs_logon_proc.pl&state=https%3A%2F%2Fdaac.ornl.gov%2F




The GCMD has made it very easy for the public to locate the data sets they desire. All the metadata are accessible via several search interfaces.

Search Options:

  • Earth Science Keywords: Search results can be modified Science discipline, geographic location, platform/source, or instrument. Or try the map/date combo data search.
  • Full-Text Search: This allows a query on user specified keywords. This can be of use when searching for metadata on specific topics (e.g., El Niño or Global Warming).

A tutorial on the new search functionality is available at http://gcmd.nasa.gov/learn/faqs/search_explanation.html

Thank you for your inquiry. Here are some instructions you might find useful:

Basic instructions for authenticating can be found here:

https://support.earthdata.nasa.gov/index.php?/Knowledgebase/Article/View/43/21/how-to-access-urs-gated-data-with-curl-and-wget

The exact sequence and syntax that I used:

        cd ~

        touch .netrc

        echo "machine urs.earthdata.nasa.gov login <username> password <password>" > .netrc

        chmod 0600 .netrc

   where <username> is your URS username and <password> is your URS password.

For wget (no clobber of existing files, all files downloaded into current directory):

        wget -nc -nH --cut-dirs 4 -r --load-cookies ~/.urs_cookies --save-cookies ~/.urs_cookies --keep-session-cookies --auth-no-challenge http://lance1.acom.ucar.edu/data/L2/

Please let me know if there are any obstacles. We will be happy to help you get the data.

NASA Earth science data/imagery is focused on Earth science discipline work (atmosphere, cryosphere, human dimensions, ocean, etc) and not on "close-in" studies
or work. Keeping in mind that NASA Earth science data resolution ranges from 100m down to 15m per pixel (depending on the product), you can understand that a 15m pixel (in a scene/swath that can be up to 100+ miles) is not very usable for small-area studies or focus.

That being said, you are welcome to explore our imagery and data with the following resources

NASA Earthdata Search - premier search tool for our entire archives -
https://search.earthdata.nasa.gov


NASA Worldview - imagery search tool with access to data -
https://worldview.earthdata.nasa.gov


NASA Earthdata - our primary portal for access to Earth science data and information -
https://earthdata.nasa.gov

Let me know if you need anything else.


- Earthdata Support

NASA promotes the full and open sharing of all data with the research and applications communities, private industry, academia, and the general public. You can find out more about the data policy at: http://science.nasa.gov/earth-science/earth-science-data/data-information-policy/

I was playing around with QGIS yesterday and today to see what might be happening to prevent it from working. I have not yet discovered why QGIS doesn't work with our server (ArcGIS does seem to work), but I do have a work-around so that you can load the images into QGIS indirectly.

If you use your web browser to view the image, then download the image from your web browser onto your computer, you can then load this image into QGIS. It is not as convenient as having QGIS do it directly, but at least it can work.

So, for example, I entered the following URL into my web browser:
https://firms.modaps.eosdis.nasa.gov/wms-t/viirs/?TIME=2016-02-01&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&LAYERS=VIIRS_Hotspots&width=1024&height=512&BBOX=-180,-90,180,90&SRS=EPSG:4326

My browser displayed an image with red squares for each fire. I then right-clicked on the image and saved it to my computer. Then I went to QGIS and selected Layer->Add Raster Layer and used the file dialog to select the file I had just downloaded. QGIS asked for the coordinate system, which is WGS-84 (which corresponds to EPSG:4326) for this particular example, and it then displayed the image in its layer view.

If you edit the URL in your browser, you can set your date, time, region of interest, and image width and height for the image you want to download. For example:

https://firms.modaps.eosdis.nasa.gov/wms-t/viirs/?TIME=2016-02-14&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&LAYERS=VIIRS_Hotspots&width=512&height=512&BBOX=8,39,18,48&SRS=EPSG:4326

The ORNL DAAC archives and distributes the Daymet dataset outputs in formats that are standardized and well documented.  We have no authority to distribute the model code from which the data are derived. 

Please see the literature describing the Daymet model here:  https://daymet.ornl.gov/biblio.html for more information about the source code.

The GCMD contains descriptions of data sets covering all disciplines that produce and use data to help us understand our changing planet. The GCMD includes metadata from disciplines including atmospheric science, biology, oceanography, ecology, geology, hydrology, and human dimensions of climate change. This interdisciplinary focus is aimed at researchers exploring the interconnections and interrelations of mulitdisciplinary variables on global changes (e.g., How global warming may impact human health).

The full list of science disciplines is as follows:

  • Agriculture
  • Atmosphere
  • Biological Classifications
  • Biosphere
  • Climate Indicators
  • Cryosphere
  • Human Dimensions
  • Land Surface
  • Oceans
  • Paleoclimate
  • Solid Earth
  • Spectral/Engineering
  • Sun-Earth Interactions
  • Terrestrial Hydrosphere
Earth Science Data Set Descriptions Earth Science Data Service Descriptions
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