Transcript Introducing HYDRA – a Multispectral Data Analysis Toolkit Course in Costa Rica
Introducing HYDRA – a Multispectral Data Analysis Toolkit
Lectures for the Regional Training Course in Costa Rica 15 March 2005
Paul Menzel NOAA/NESDIS/ORA
Introducing HYDRA – a Multispectral Data Analysis Toolkit
Tom Rink 2 , Tom Whittaker 2 , Kevin Baggett 2 , Paolo Antonelli 2 , Liam Gumley 2 , and W. Paul Menzel 1 1 NOAA Satellite and Information Services / ORA 2 Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin, 53706 USA
Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin
Introducing HYDRA – a Multispectral Data Analysis Toolkit What is Hydra How to get it Starting the Hydra analysis toolkit Examples with MODIS data over India
HYperspectral viewer for Development of Research Applications - HYDRA
MSG, GOES MODIS, AIRS
http://www.ssec.wisc.edu/hydra/
HYperspectral viewer for Development of Research Applications HYDRA Freely available software For researchers and educators Computer platform independent Extendable to more sensors and applications Based in VisAD (Visualization for Algorithm Development) Uses Jython (Java implementation of Python) On-going development effort For more information and a copy of the freeware see http://www.ssec.wisc.edu/hydra/.
Hardware Recommendation
Drivers for graphics cards should be as up-to-date as possible, or Hydra may not work properly.
Hydra runs on most machines, but a minimum of 512MB of main memory and a graphics card with 32MB or more helps with performance.
Start executable from DOS Batch file
The Hydra Window
Load MODIS data over Caribbean
Use zoom tool To see details
Use color range adjustment to explore various image enhancements
Opening the Multi-Channel Viewer from the Hydra Window
The Multi-Channel Viewer Window
IRW
Using transect to plot BT along selected path Use transect to display brightness temperatures along indicated path
WV
Opening Linear Combinations
BT11 BT4-BT11 BT4-BT11 BT11
Scatterplot
Use color area boxes in toolbar at bottom of scatter plot to select pixels to be viewed on images
BT4-BT11 BT11 BT4-BT11 BT11 BT11
Use color area boxes in toolbar at bottom of image to select pixels to be viewed on scatter plot
Introducing HYDRA – a Multispectral Data Analysis Toolkit What is Hydra How to get it Starting the Hydra analysis toolkit Examples with MODIS data over India
VIIRS , MODIS , FY-1C , AVHRR O2 CO2 O3 O2 H2O O2 H2O H2O H2O H2O CO2 H2O
MODIS IR Spectral Bands
MODIS
MODIS spectral signatures from land, ocean, and atmosphere
Scatter plot of BT11(right) on x-axis and r0.6 (left) on y-axis
Vis Refl vs IRW Rad
BT8.6-BT11
BT8.6-BT11 as false color image
BT8.6-BT11 BT11 BT11
t = t =
Simulations of Ice and Water Phase Clouds 8.5 - 11
m
m BT Differences
High Ice clouds
• BTD[8.5-11] > 0 over a large range of optical thicknesses t •T cld = 228 K
Midlevel clouds
• BTD[8.5-11] values are similar (
i.e
., negative) for both water and ice clouds •T cld = 253 K
Low-level, warm clouds
• BTD[8.5-11] values always negative •T cld = 273 K
Ice: Cirrus model derived from FIRE-I in-situ data Water: r e =10 Angles
: q o m
m = 45 o ,
q
= 20 o , and
f =
40 o Profile: midlatitude summer ( Nasiri et al, 2002)
Optical properties of cloud particles: imaginary part of refraction index
Imaginary part of refraction index 0.6
Ice 0.5
0.4
0.3
0.2
0.1
Water 0 1 3 5 7 9 wavelength [microns] 11 13 8.6 & 11 um channel differences are used for cloud phase identification [BT8.6 - BT11] > 0 indicates ice cloud 15
Scatter of 2.3 um (right) on y-axis & 8.6-11 um (top middle) on x-axis
Scatter of 2.3 um (right) on y-axis & 8.6-11 um (left) on x-axis
False color of NDVI image from MODIS
NDVI vs BT11
NDVI vs BT11
SSC estimation from r0.55/r0.44
Phytoplankton concentration on left (from r0.55/r0.44) and SST on right (from BT11+{BT11-BT12})
Zoom of Phytoplankton on left (from r0.55/r0.44) and SST on right (from BT11+{BT11-BT12})
NDVI on left (from r0.8 & r0.6) and LST on right (from BT11 & BT12)
Looking at another data set over the southern tip of South America
Scatter of 2.3 um (top middle) on y-axis & 8.6-11 um (left) on x-axis
Clouds in Strat Scatter of BT6.7 - BT11 on y-axis & BT11 (right) on x-axis
Phytoplankton concentration on left (from r0.55/r0.44) and SST on right (from BT11+{BT11-BT12})
NDVI on left (from r0.8 & r0.6) and LST on right (from BT11 & BT12)
HYperspectral viewer for Development of Research Applications (HYDRA) Now a part of the WMO Virtual Lab For more information and a copy of the freeware see http://www.ssec.wisc.edu/hydra/.
Questions email [email protected]
Copy [email protected]
Accessing MODIS or AIRS data from GSFC DAAC at http://rapidfire.sci.gsfc.nasa.gov/realtime/
Accessing MODIS data from GSFC DAAC at http://rapidfire.sci.gsfc.nasa.gov/realtime/
View orbit tracks to select image over region of interest
Browse to image of interest
At bottom of image you can select to download hdf file onto your PC
Example with AIRS
Spectra in cloud near TC eye
Spectra in eye
Spectra in clear air
Isabel Eye Sounding with AIRS
Eye - Environment Temperature 100 200
Eye Sounding Environment Sounding
300 400 500 600 700 800 900 1000 0 2 4 6 8 10 12 14 16 18 Temperature Anomaly (C)
Integrate Hydrostatic Equation Downward from 100 hPa to Surface Environment Sounding: P s Eye Sounding: P s Aircraft Recon: P s = 1012 hPa = 936 hPa = 933 hPa DeMaria, CIRA, 2004
GOES view of Panama
SW-LW IRW
Extra slides
Table: MODIS Channel Number, Wavelength (mm), and Primary Application Reflective Bands 1,2 3,4 5-7 8-10 11-13 14-16 17-19 26 Emissive Bands 20-23 24,25 27,28 29 30 31,32 33-36 0.645, 0.865
0.470, 0.555
1.24, 1.64, 2.13
0.415, 0.443, 0.490
0.531, 0.565, 0.653
0.681, 0.75, 0.865
0.905, 0.936, 0.940
1.375
3.750(2), 3.959, 4.050
4.465, 4.515
6.715, 7.325
8.55
9.73
11.03, 12.02
13.335, 13.635, 13.935, 14.235
land/cld boundaries land/cld properties land/cld properties ocean color/chlorophyll ocean color/chlorophyll ocean color/chlorophyll atm water vapor cirrus clouds sfc/cld temperature atm temperature water vapor sfc/cld temperature ozone sfc/cld temperature cld top properties
MODIS Reflective Band Specifications
Table
: MODIS Spectral Band Specifications
MODIS Emissive Band Specifications
Primary Atmospheric Band Bandwidth 1 T typical Radiance 2 NE T (K) NE T (K) Application (K) at T typical Specification Predicted Surface Temperature Temperature profile Moisture profile Ozone Surface Temperature Temperature profile 20 22 23 24 25 27 28 29 30 31 32 33 34 35 36 3.660-3.840
3.929-3.989
4.020-4.080
4.433-4.498
4.482-4.549
6.535-6.895
7.175-7.475
8.400-8.700
9.580-9.880
10.780-11.280
11.770-12.270
13.185-13.485
13.485-13.785
13.785-14.085
14.085-14.385
300 300 300 250 275 240 250 300 250 300 300 260 250 240 220 0.45
0.67
0.79
0.17
0.59
1.16
2.18
9.58
3.69
9.55
8.94
4.52
3.76
3.11
2.08
0.05
0.07
0.07
0.25
0.25
0.25
0.25
0.05
0.25
0.05
0.05
0.25
0.25
0.25
0.35
0.05
0.05
0.05
0.15
0.10
0.05
0.05
0.05
0.05
0.05
0.05
0.15
0.20
0.25
0.35
1 m m at 50% response 2 W m -2 sr -1 m m -1
Example with MODIS
low refl at 1.6 um from snow in mountains
MODIS scatterplot of r1.6 (y-axis) and BT11 (x-axis)
R(0.6) R vis ~ 50 R IR (mW/m2/ster/um) R(11)
Spectral Characteristics of Energy Sources and Sensing Systems