Accessing%20NASA%20data

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Accessing NASA data

• Robin L. Graham and colleagues, NASA ORNL DAAC
• (Distributed Active Archiving Center)
• Oak Ridge National Laboratory

http//www.daac.ornl.gov/
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Accessing NASA data

• NASA Satellite data access
• Global Hydrology Resource Center (Huntsville, AL)
• Biogeochemical dynamics DAAC (Oak Ridge, TN)
• Importing the data into ArcGIS

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Accessing NASA data

• NASA Satellite data access
• Global Hydrology Resource Center (Huntsville, AL)
• Biogeochemical dynamics DAAC (Oak Ridge, TN)
• Importing the data into ArcGIS

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NASA Observing Spacecraft for Earth System
Research
Moderate Resolution Imaging Spectroradiometer
(MODIS)
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How a Polar Orbiting Satellite orbits
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Haze
Cloud
Sunglint
Data provided by NASA Goddard Space Flight
Center. Image processed by Battelle using MODIS
HDF Look.
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MODIS Aerosol Optical Depth25 June 2002
Data provided by NASA Goddard Space Flight
Center. Image processed by Battelle using MODIS
HDF Look.
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The Earth Observing System (EOS) Program
EOSDIS Archive

• NASAs Earth Observing System (EOS) Program
• centerpiece of NASAs Earth Science Directorate,
  largest component in the U.S. Climate Change
  Science Program
• spaced-based observing system
• ground-based field campaigns
• objective is to enable quick and easy access to
  data about the earth
• EOS Data and Information System (EOSDIS)
• explicitly planned and funded by NASA to make
  maximum use of the data
• data available at 8 Distributed Active Archive
  Centers (DAACs), organized by scientific
  discipline

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Getting data from Data Centers

• Directly from Data Centers websites
• Center-unique search-and-order systems
• Specialized data set tools
• Viewing, subsetting, web GIS
• EOS Data Gateway (EDG)- A NASA site where one can
  search across all the NASA data centers and also
  order (soon to be replaced by another system
  called ECHO). Has browse capability.
  http//eos.nasa.gov/imswelcome
• Global Change Master Directory Allows one to
  search across all the NASA data centers plus many
  other data sites. Over 2,400 providers. Points
  you to where to order. ( but is not the place to
  order.) http//gcmd.nasa.gov
• Many of the data sets require special tools for
  image processing and analysis. These tools are
  provided by the data centers and are under
  continual development.

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EOS Data Gateway
http//eos.nasa.gov/imswelcome
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http//gcmd.nasa.gov/
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EOSDIS Distributed Active Archive Centers
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Data Center Earth System Science discipline
ASF DAAC- Alaska Satellite Facility U. of Alaska Synthetic Aperture Radar (SAR), Sea Ice, Polar processes, Geophysics
GES DAAC - GSFC Earth Sciences Goddard Space Flight Center Atmospheric Composition , Atmospheric dynamics, Global Precipitation, Ocean biology, Ocean dynamics, Solar irradiance
GHRC Global Hydrology Resource Center Natl Space Science Technology Center Hydrologic cycle, Severe Weather Interactions, Lightning, Convection
LaRC DAAC Langley Research Center Radiation budget, clouds, Aerosols, Tropospheric Chemistry
LP DAAC Land processes EROS Data Center (USGS) Land Processes
NSIDC DAAC- National Snow and Ice Data U. of Colorado Snow and ice, Cryosphere and climate
ORNL DAAC- Oak Ridge National Lab Biogeochemical dynamics, Ecological data, Environmental processes
PO,DAAC Physical Oceanography Jet Propulsion Lab (JPL) Oceanic Processes, Air-Sea interactions
SEDAC Socioeceonomic Data and Applications Center Columbia University Population, Sustainability, Geospatial data, Multilateral Environmental Agreements
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Accessing NASA data

• NASA Satellite data access
• Global Hydrology Resource Center (Huntsville, AL)
• Biogeochemical dynamics DAAC (Oak Ridge, TN)
• Importing the data into ArcGIS

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http//ghrc.msfc.nasa.gov/
http//datapool.nsstc.nasa.gov
Atmospheric water products
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Example of a data center search system - hydrology
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Accessing NASA data

• NASA Satellite data access
• Global Hydrology Resource Center (Huntsville, AL)
• Biogeochemical dynamics DAAC (Oak Ridge, TN)
• Importing the data into ArcGIS

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ORNL DAAC Roles in EOS
Four primary data management roles, supporting
1. Field Campaigns
2. Validation of Remote Sensing Products

• 6-9 year intensive study of a region
• Amazon (LBA)
• Canada (BOREAS)
• Southern Africa
• (SAFARI 2000)

In-situ Observations
Remote Sensing
?
4. Model Code
3. Regional and Global Studies

• Benchmark Models
• IBIS, BIOME-BGC, LSM
• Manuscript Models
• PNeT, Century, Biome-BGC

• Climate
• Soils
• Vegetation
• Hydroclimatology

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ORNL DAAC Distributed Active Archive Center
http//www.daac.ornl.gov/

• Mission Support the needs of NASAs Earth
  Science Enterprise (ESE) and Earth Observing
  System (EOS) Program by assembling, archiving,
  and distributing terrestrial biogeochemistry and
  ecosystem dynamics data
• Sponsor NASA
• Martha Maiden - EOSDIS
• Diane Wickland - Earth System Science Carbon
  Cycle and Ecosystems
• Is not responsible for satellite downloading.
  Does get satellite data from other NASA data
  centers and then puts it in a format accessible
  to ecological field researchers.

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ORNL DAAC data sets renewable energy?

• Regional global data relevant to hydropower
• Climate collections - Several global climate data
  sets. Climate data include measured and modeled
  values for variables such as temperature,
  precipitation, humidity, radiation, wind
  velocity, and cloud cover
• Hydroclimatology collections - data on streamflow
  and climatology. The data were collected with a
  range of frequencies (daily and monthly) and are
  from meteorological and streamflow discharge
  stations in the U.S.
• River discharge - The Global River Discharge
  (RivDIS) data set contains monthly discharge
  measurements for 1018 stations located throughout
  the world. The period of record varies widely
  from station to station, with a mean of 21.5
  years.

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ORNL DAAC data sets renewable energy?

• Regional global data relevant to bioenergy
• Climate collections - Several global climate data
  sets. Climate data include measured and modeled
  values for variables such as temperature,
  precipitation, humidity, radiation, wind
  velocity, and cloud cover
• Soil Collection - data on the physical and
  chemical properties of soils, including soil
  carbon and nitrogen, soil water-holding capacity,
  soil respiration, and soil texture. The data are
  gridded at spatial scales ranging from regional
  to global.
• Vegetation Collections - Gridded data on
  vegetation from regional to continental scales.
  Information about vegetation data archived at the
  ORNL DAAC is available on the Leaf Area Index Web
  page. The DAAC also offers data from the Net
  Primary Productivity Database, which contains
  biomass and NPP estimates.

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MODIS ASCII Subsets Remote Sensing Products for
Field Sites

• Bob Cook, Steve Margle, Susan Holladay,
  and Suresh Kumar
• ORNL DAAC
• Oak Ridge National Laboratory
• Distributed Active Archive Center
• Oak Ridge, Tennessee, USA

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MODIS ASCII Subsets (Coll. 4)

• Subsets of Terra and Aqua MODIS Land Products for
  280 sites worldwide (field sites or flux towers)
  in ASCII format
• 7 km x 7 km centered on flux tower or field sites
• Two annual products, four 8-day products, two
  16-day products, and calculated albedo, from 2000
  to present

MODIS Products
Surface Reflectance
Surface Temperature
Land Cover
NDVI / EVI
LAI / fPAR
Net Photosynthesis
Annual NPP
Albedo (calc)
Reflectance BRDF Adjusted
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Multiple paths to access data

• FTP most popular method
• Picklists
• Site, investigator, land cover class, network
• WebGIS
• Site location plus background layers
• GeoTIFF file picklist
• with WebGIS
• Google Earth
• MODIS Subset metadata file that opens in Google
  Earth application

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Using Google Earth to Access Subsets
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Using Google Earth to Access Subsets
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Beginning to compile site data for comparison
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Acquisition and Processing of MODIS Tiles Tool
for North America
ORNL DAAC
LP DAAC
Automatic FTP pull from Data Pool
MODIS Data Pool
MODIS Reprojection Tool Conversion to Binary
ORNL Code Conversion to ASCII
Inventory
Inventory
HDF Tiles
ASCII tiles (per SDS)
Temporary
1200 x 1200 km
Files for User Interface
Computer Resources Dedicated Server 10 TB RAID
storage (capacity through 2009 for 1.5 TB/y)
SDS Science Data Set
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User Interface

• User selects center coordinates or site, areal
  extent, and period of interest
• Processing of time series (selection of tiles,
  mosaicking, generating time series data file and
  graphs) takes 10 to 60 minutes for most products
  (depends on area, time period, and product)
• URL with graphs and pointers to data files is
  emailed to user

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Getting MODIS Data from the ORNL DAAC
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Images from USGS Global Visualization
Viewer http//glovis.usgs.gov/
Also 2001, seems to be a special case
Scope for further analysis
NDVI Time series for cropland in Michigan
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Time SeriesExample
EVI Southern California
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Land Cover Visualization
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Time SeriesExample
Mean (std dev) for pixels with same land cover
as the center pixel (20 of 49 pixels) Center
pixel Woody Savannas
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Data Download Options
http//daac.ornl.gov/viz_4a/18Apr2007_161258_930
632000L30L-98S13L13_MYD09A1/index.html
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Accessing NASA data

• NASA Satellite data access
• Global Hydrology Resource Center (Huntsville, AL)
• Biogeochemical dynamics DAAC (Oak Ridge, TN)
• Importing the data into ArcGIS

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Importing ASCII Grid Data into GIS/Image
processing software

• Table of Contents
• Importing data into
• ArcGIS 9.x
• ENVI
• ArcView 3.x
• GRASS

Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Importing the ASCII Grid data into ArcGIS 9.x
Go to Table of Contents
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Example File GRID.MOD13A2.asc
MODIS ASCII Subsets Data Visualization MOD13A2
Terra Vegetation Indices (NDVI, EVI) USA, Walker
Branch Watershed, Oak Ridge, Tennessee Centered
on Latitude 35.958767 Longitude -84.287433 7
Kilometers 7 Pixels Wide and 7 Kilometers 7
Pixels High Requested Time Span November 2005
to November 2005 For a PRJ file, access
http//daac.ornl.gov/cgi-bin/MODIS/GR_common/modis
.prj For a prj.adf file, access
http//daac.ornl.gov/cgi-bin/MODIS/GR_common/prj.a
df MODIS HDF Tile MOD13A2.A2005305.h11v05.004.2
005325075111.hdf -----START Scientific Data Set
(Band) 1_km_16_days_NDVI, MODIS Date A2005305
(Nov. 1, 2005)----- ncols 7 nrows 7 xllcorner
-7589988.98 yllcorner 3995608.83 cellsize
926.62543305583381 nodata_value -9999999 5579
5846 5940 5769 5566 5869 5776 6173 5722 5876 5912
5920 5882 5632 5844 5812 5972 5904 5154 4966
5282 5786 5765 5822 5695 5739 5817 5992 5609 5094
4333 5790 5763 5793 5863 5602 5499 5844 5811 5210
5436 5728 4749 5674 5419 2617 4012 5607
5219 -----END Scientific Data Set (Band)
1_km_16_days_NDVI, MODIS Date A2005305 (Nov. 1,
2005)----- MODIS HDF Tile MOD13A2.A2005321.h11
v05.004.2005342022515.hdf -----START Scientific
Data Set (Band) 1_km_16_days_NDVI, MODIS Date
A2005321 (Nov. 17, 2005)----- ncols 7 nrows
7 xllcorner -7589988.98 yllcorner
3995608.83 cellsize 926.62543305583381 nodata_valu
e -9999999 5279 5480 5584 5584 5226 5248
5275 5781 5508 5517 5383 5347 5281 5051 5634 5554
5571 5511 4825 4557 5344 5635 5375 5293 5432 5298
5562 5581 5386 4646 4660 5279 5446 5480 5393 5396
5118 5750 5563 4825 5260 5587 4774 5425 5047 3500
4174 5187 4955 -----END Scientific Data Set
(Band) 1_km_16_days_NDVI, MODIS Date A2005321
(Nov. 17, 2005)-----
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 1
Copy contents between -----START Scientific
Data Set (Band).. And -----END Scientific
Data Set (Band)... Into a separate
file. If there are more than one START-END
entries, copy contents within each of the
START-END statements into individual files like
File GRID_MOD13A2_A2005305 _1_km_16_days_NDVI.as
c from example file GRID.MOD13A2.asc ncols
7 nrows 7 xllcorner -7589988.98 yllcorner
3995608.83 cellsize 926.62543305583381 nodata_valu
e -9999999 5579 5846 5940 5769 5566 5869
5776 6173 5722 5876 5912 5920 5882 5632 5844 5812
5972 5904 5154 4966 5282 5786 5765 5822 5695 5739
5817 5992 5609 5094 4333 5790 5763 5793 5863 5602
5499 5844 5811 5210 5436 5728 4749 5674 5419 2617
4012 5607 5219
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 2
Importing the individual file GRID_MOD13A2_A200530
5 _1_km_16_days_NDVI.asc into ArcGIS
Using ArcToolbox from ESRIs ArcGIS 9.x software
Select Conversion Tools ? To Raster ? ASCII to
Raster
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 3
Provide path to ASCII file (GRID_MOD13A2_A2005305
_1_km_16_days_NDVI.asc ) and Output Raster
(MD13A205305)
Click OK
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 4
After converting to Raster the output raster
(MD13A205305) would automatically load into
ArcMap
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 5
Export this file (MD13A205305) into ArcGIS GRID
Right Click on the file to Export
Provide output filename (e.g. md13a2053051) and
format
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 6
Setting up the projection Download file prj.adf
from http//daac.ornl.gov/cgi-bin/MODIS/GR_common/
prj.adf copy the prj.adf file into the GRID file
directory (md13a2053051) created in the previous
step
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC
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Step 7
Load the GRID file in ArcMap Make sure that the
projection is defined on the dataset
Final output md13a2053051 with projection set,
overlaid with the MODIS site locations
If the projection isn't defined, use the
following file to define the projection.
Download file modis.prj from http//daac.ornl.go
v/cgi-bin/MODIS/GR_common/modis.prj Copy this
file into ltESRI installation Foldergt\Coordinate
Systems\Projected Coordinate Systems\World\Sphere-
based and manually set the projection for the file
Prepared by Suresh Kumar on March 10th 2006, ORNL
DAAC