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12/14/2016

The Global Land Ice Measurements from Space (GLIMS) project monitors all of the Earth’s glaciers using satellite imagery from sensors such as the Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) onboard NASA’s Terra satellite. GLIMS was originally an ASTER Science Team project that is now approaching its 20th anniversary. The project is made up of a network of regional experts from over 60 institutions across the planet who analyze glaciers in their respective regions of expertise. The researchers produce glacier measurements such as digital glacier outlines, center flow lines, snow lines, surface velocity fields, hypsometry data, associated metadata, and literature references. The regional results are archived as a part of the GLIMS Glacier Database (GGDB) at the National Snow and Ice Data Center (NSIDC).

Understanding the causes and effects of global glacier change is of paramount importance in today’s changing climatic regime. Observing glacial changes is also an important aspect of hazards detection and assessment. The GLIMS global glacier inventory can be used to help assess the risks of hazards and natural disasters such as outburst floods, landslides, and ice avalanches.

The GLIMS Glacier Database includes over 275,000 glacier outlines captured between 1850 and 2016. The GLIMS global inventory of glaciers provides researchers with baseline data that can be used for comparison in the future. Imagery collected from Terra ASTER has been a primary source of imagery as the sensor itself can be timed to acquire images of glaciers at seasonally optimal times as well as with ideal gain settings. Over 10,000 ASTER scenes collected between 2005 and 2012 were used to generate many of the glacier outlines in the GLIMS database. These ASTER scenes are now publicly available at no charge due to a change in policy that took effect on April 1, 2016 and are available for download through NASA’s Land Processes Distributed Active Archive Center (LP DAAC).

One example of a glacier that has GLIMS outline records dating back to the 1800s is the Marinelli Glacier, located at the tip of South America in Chilean Patagonia. The Marinelli Glacier has retreated about 15 kilometers in the last hundred or so years. The GLIMS glacier outline database provides insight into how far the glacier has retreated since 1870. In the images below, the pink line represents the extent of the glacier in 1986 and the green line represents the extent in 2007. These two Terra ASTER images show the rapid retreat of the glacier. On September 25, 2001 (left image), much of the region is covered in snow and the Marinelli Glacier is spilling out into Ainsworth Bay. By October 18, 2016 (right image), the glacier had receded from its position in 2001 and much of the region is covered with green vegetation and has less snow covered area.

10.5067/MODIS/MOD44B.006
MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid
MOD44B

The MOD44B Version 6 Vegetation Continuous Fields (VCF) product provides a representation of global, per pixel, surface vegetation cover estimates. Designed to continuously represent Earth’s terrestrial surface as a proportion of basic vegetation traits, the data provide a gradation of three surface cover components: percent tree cover, percent non-tree cover, and percent non-vegetated (bare). The three components are each stored in separate layers so they can be used independently to look at a particular type of ground cover or collectively to look at the entire surface. VCF products provide a continuous, quantitative portrayal of land surface cover at 250 meter pixel resolution, and hence, are widely used in environmental modeling and monitoring applications.


Improvements/Changes from Previous Versions

Collection 6 VCF was produced with the same code and training as the Collection 5 products, but improvements to the upstream inputs result in more accurate VCF products.

Collection

Characteristic Description
Temporal Granularity Yearly
Temporal Extent March 2000-Present
Spatial Extent Global
File Size 28 MB
Coordinate System Sinusoidal
Datum N/A
File Format hdf
Geographic Dimensions 1200 km x 1200 km

 

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers 7
Columns/Rows 4800 x 4800
Pixel Size 250 m

 

Data Layer Characteristics

SDS Name Description Units Data Type Fill Value Valid Range Scale Factor
Percent_Tree_Cover

Percent of pixel that is tree covered

Percent 8-bit unsigned integer

200=water 253=fill

0 to 100

N/A
Percent_NonTree_Vegetation

Percent of pixel that is nontree vegetation

Percent 8-bit unsigned integer

200=water 253=fill

0 to 100

N/A
Percent_Nonvegetated

Percent of pixel non vegetated

Percent 8-bit unsigned integer

200=water 253=fill

0 to 100

N/A
Quality

Quality Control indicators

Bit-field 8-bit unsigned integer

N/A

See Table-1 below

N/A
Percent_Tree_Cover_SD

Standard deviation of percent not tree covered

Percent 16-bit unsigned integer

-100

0 to 10000

/100 or *0.01
Percent_Nonvegetated_SD

Standard deviation of percent not vegetated

Percent 16-bit unsigned integer

-100

0 to 10000

/100 or *0.01
Cloud

Pixel cloud cover indicators

Bit-field 8-bit unsigned integer

N/A 

See Table-2 below

N/A

 

Table 1: Description of Bit-Fields for Quality SDS

Bit Input Layers State
0 DOY 065 – 097 0 Clear; 1 Bad
1 DOY 113 – 145 0 Clear; 1 Bad
2 DOY 161 – 193 0 Clear; 1 Bad
3 DOY 209 – 241 0 Clear; 1 Bad
4 DOY 257 – 289 0 Clear; 1 Bad
5 DOY 305 – 337 0 Clear; 1 Bad
6 DOY 353 – 017 0 Clear; 1 Bad
7 DOY 033 – 045 0 Clear; 1 Bad

Table 2: Description of Bit-Fields for Cloud SDS

Bit Input Layers State
0 DOY 065 – 097 0 Clear; 1 Cloudy
1 DOY 113 – 145 0 Clear; 1 Cloudy
2 DOY 161 – 193 0 Clear; 1 Cloudy
3 DOY 209 – 241 0 Clear; 1 Cloudy
4 DOY 257 – 289 0 Clear; 1 Cloudy
5 DOY 305 – 337 0 Clear; 1 Cloudy
6 DOY 353 – 017 0 Clear; 1 Cloudy
7 DOY 033 – 045 0 Clear; 1 Cloudy

 

Product Quality

The Quality and Cloud layers are bit encoded. We recommend the unpack_sds_bits executable from the LDOPE tools to unpack these layers.

 

Known Issues

For complete information about the MOD44B known issues please refer to the MODIS Land Quality Assessment website.

MOD44B

MOD44B. Percent Tree Cover. 2010. Tile H08V05. Western US.

PI Name: 
Charlene DiMiceli
Other Tools: 
Decommissioned: 
False

The Land Processes Distributed Active Archive Center (LP DAAC) is pleased to announce the availability of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 Vegetation Continuous Fields Yearly product. The Level 3 250 meter data product (MOD44B) has been produced for 2000 to 2016.

For more information, visit the MOD44B Version 6 product page.

How to Reformat and Georeference VIIRS Surface Reflectance HDF-EOS5 Files

DAAC2Disk Web

Location

Kenya
United States
2° 35' 0.168" S, 38° 21' 44.082" E
US

MODIS Vegetation Indices (VI) data products are frequently used in agricultural studies and land cover changes over time. However, researchers from Wageningen University in the Netherlands are using a Terra MODIS VI data product in a unique way to study the environmental factors related to natural elephant mortality in the Tsavo Conservation Area in Kenya.

This tutorial demonstrates how R or Python scripts can be used to open NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Hierarchical Data Format version 5 (HDF-EOS5, .h5) surface reflectance data files, correctly define the coordinate reference system (CRS), and export each science dataset layer as GeoTIFF files that can be loaded with spatial reference into GIS and Remote Sensing software programs. Both the R and Python scripts will batch process all VIIRS HDF-EOS5 surface reflectance (VNP09) files contained in the input directory.

The Land Processes Distributed Active Archive Center (LP DAAC) has begun distributing four NASA VIIRS surface reflectance products. The NASA VIIRS surface reflectance collection is archived in HDF-EOS5 format.  More information about the four NASA VIIRS Surface reflectance products can be found below:

  • VNP09A1 - VIIRS/NPP Surface Reflectance 8-Day L3 Global 1km SIN Grid
  • VNP09GA - VIIRS/NPP Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
  • VNP09H1 - VIIRS/NPP Surface Reflectance 8-Day L3 Global 500m SIN Grid 
  • VNP09CMG - VIIRS/NPP Surface Reflectance Daily L3 Global 0.05 Deg CMG

VIIRS surface reflectance data can be downloaded from the LP DAAC Data Pool or NASA Earthdata Search.  Each of the scripts will output the selected data layers in the native coordinate reference system for each specific VIIRS Surface Reflectance product as GeoTIFF files for each science dataset contained in the input file. The output naming convention for each band is:

  • VNP09[specific product].AYYYYDOY.h##v##.001_[processing date]_sciencedatasetname.tif

This tutorial was specifically developed for NASA VIIRS Surface Reflectance HDF-EOS5 files and should only be used for the data products outlined above.

VIIRS_HDF5toGeoTIFF.R

  1. Download VIIRS VNP09 HDF-EOS5 data and the VIIRS_HDF5toGeoTIFF.R script (URL above) to a local directory
  2. Start an R session and open VIIRS_HDF5toGeoTIFF.R
  3. Change in_dir <- ‘ ’  to the directory where the VIIRS HDF-EOS5 files are stored on your system
  4. Run entire script

 

VIIRS_HDF5toGeoTIFF.py

  1. Download VIIRS VNP09 HDF-EOS5 data and the VIIRS_HDF5toGeoTIFF.py script (URL above) to a local directory
  2. Open a Command Prompt window and navigate to the directory where you downloaded the VIIRS_HDF5toGeoTIFF.py script
  3. Run script with the following command in your Command Prompt:
    1. > python VIIRS_HDF5toGeoTIFF.py [insert input directory containing VNP09 files here]
      1. Example of input directory: C:/users/johndoe/VIIRS/VNP_HDF5/

Cole Krehbiel1 and Aaron Friesz1

Innovate!, Inc., contractor to the U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, USA. Work performed under USGS contract G15PD00766 for LP DAAC2.

LP DAAC Work performed under NASA contract NNG14HH33I.

Phone: 866-573-3222

E-mail: LPDAAC@usgs.gov

Disclaimer: Scripts were tested on Windows OS using the specifications identified below.

R (Version 3.3.0)

Library Tested in Version
rhdf5 2.16.0
rgdal 1.1.10
raster 2.5.2
gdalUtils 2.0.1.7
tiff 0.1.5

Python (Version 2.7.12 or 3.4.5)

Library Tested in Version
osgeo (with gdal and osr) 2.0.0, 2.1.0
numpy 1.11.0, 1.12.0
os N/A
glob N/A
datetime N/A
re 2.2.1
sys N/A
getopt N/A
argparse 1.1
 

 

Dataset: 
Product: 

The Land Processes Distributed Active Archive Center (LP DAAC) is pleased to announce the availability of the Visible Infrared Imaging Radiometer (VIIRS) Surface Reflectance (VNP09) Version 1 product suite, produced by the National Aeronautics and Space Administration (NASA). This product suite includes 500 meter, 1 kilometer, and 0.05 degree products at daily and 8-day temporal resolutions. The VNP09 collection will eventually comprise of data from January 2012 to present as historical processing is ongoing. This collection will also continue to grow chronologically.

10.5067/VIIRS/VNP09H1.001
VIIRS/NPP Surface Reflectance 8-Day L3 Global 500m SIN Grid
VNP09H1

The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) Surface Reflectance (VNP09H1) Version 1 composite product provides an estimate of land surface reflectance from the Suomi National Polar-orbiting Partnership (S-NPP) VIIRS sensor for three imagery (I1, I2, I3) bands at nominal 500 meter resolution (~463 meter). The 500 meter dataset is derived through resampling the native 375 meter VIIRS resolution in the L2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period, which is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. Included in the product along with the three reflectance bands is a state quality assurance (QA) layer and a reflectance band quality layer. Validation at stage 1 is complete for VIIRS surface reflectance products.

Collection

Characteristic Description
Temporal Granularity 8-day
Temporal Extent January 19, 2012 -- Present
Spatial Extent Global
File Size ~25 MB
Coordinate System Sinusoidal
Datum N/A
File Format HDF-EOS5
Geographic Dimensions 1200 km x 1200 km

 

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers 5
Columns/Rows 2400 x 2400
Pixel Size 500 m

 

Data Layer Characteristics

SDS Name Description Units Data Type Fill Value Valid Range Scale Factor
SurfReflect_I1

1 km Surface Reflectance Band I1

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_I2

1 km Surface Reflectance Band I2

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_I3

1 km Surface Reflectance Band I3

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_State_500m

500 m Reflectance State QA

Bit Field 16-bit signed integer

65535

NA

NA
SurfReflect_QC_500m

500 m Reflectance Quality Control

Bit Field 16-bit unsigned integer

65535

0 to 32767

NA

 

 

Product Quality

The bit field mappings for QC and State QA layers are provided in Section 3.3 Tables 17 and 19 of the User Guide.

For complete information about product quality, refer to the VIIRS Land Product Quality website.

 

Known Issues

Known issues for VIIRS Surface Reflectance data products can be found in Section 4.0 “Caveats and Known Problems” of the User Guide.

VNP09H1

VNP09H1. Acquired January 1, 2015. Tile H08V05. Western US.

PI Name: 
Eric Vermote (NASA GSFC)
Decommissioned: 
False
10.5067/VIIRS/VNP09GA.001
VIIRS/NPP Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
VNP09GA

The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) Version 1 product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols.

The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands, VIIRS cloud mask, aerosol optical thickness and aerosol models, and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor and solar azimuth and zenith angles and observations layers. The reflectance layers from the VNP09GA data product are used as input data for many of the VIIRS land products. Validation at stage 1 is complete for VIIRS surface reflectance products.

Collection

Characteristic Description
Temporal Granularity Daily
Temporal Extent January 19, 2012 -- Present
Spatial Extent Global
File Size ~100 MB
Coordinate System Sinusoidal
Datum N/A
File Format HDF-EOS5
Geographic Dimensions 1200 km x 1200 km

 

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers 29
Columns/Rows 1200 x 1200 and 2400 x 2400
Pixel Size 1000 m and 500 m

 

Data Layer Characteristics

SDS Name Description Units Data Type Fill Value Valid Range Scale Factor
SensorZenith_1

Sensor Zenith Angle

Degree 16-bit signed integer

-32767

0 to 18000

0.01
SensorAzimuth_1

Sensor Azimuth Angle

Degree 16-bit signed integer

-32767

-18000 to 18000

0.01
SolarZenith_1

Solar Zenith Angle

Degree 16-bit signed integer

-32767

0 to 18000

0.01
SolarAzimuth_1

Solar Azimuth Angle

Degree 16-bit signed integer

-32767

-18000 to 18000

0.01
SurfReflect_M1_1

1 km Surface Reflectance Band M1

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M2_1

1 km Surface Reflectance Band M2

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M3_1

1 km Surface Reflectance Band M3

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M04_1

1 km Surface Reflectance Band M4

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M5_1

1 km Surface Reflectance Band M5

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M7_1

1 km Surface Reflectance Band M7

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M8_1

1 km Surface Reflectance Band M8

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M10_1

1 km Surface Reflectance Band M10

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M11_1

1 km Surface Reflectance Band M11

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
Land_QF1_1

Quality Flag 1

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF2_1

Quality Flag 2

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF3_1

Quality Flag 3

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF4_1

Quality Flag 4

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF5_1

Quality Flag 5

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF6_1

Quality Flag 6

Bit Field 8-bit unsigned integer

255

0 to 255

NA
Land_QF7_1

Quality Flag 7

Bit Field 8-bit unsigned integer

255

0 to 255

NA
num_observations_1km

Number of observations 1 km

None 8-bit signed integer

-1

0 to 127

NA
obscov_1km_1

Observations coverage 1 km

Percent 8-bit signed integer

-1

0 to 100

NA
orbit_pnt_1

Orbit Pointer

None 8-bit signed integer

-1

0 to 15

NA
I1_SurfRefl_1

500 m Surface Reflectance Band I1

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
I2_SurfRefl_1

500 m Surface Reflectance Band I2

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
I3_SurfRefl_1

500 m Surface Reflectance Band I3

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
num_observations_500m

Number of observations 500 m

None 8-bit signed integer

-1

0 to 127

NA
obscov_500m_1

Observation coverage 500 m

Percent 8-bit signed integer

-1

0 to 100

NA
iobs_res_1

Observation number

None 8-bit unsigned integer

255

0 to 254

NA

 

 

Product Quality

The bit field mappings for quality flag (QF) layers 1 - 7 are provided in the User Guide under Section 3.3, Tables 10 - 16.

For complete information about product quality, refer to the VIIRS Land Product Quality website.

 

Known Issues

Known issues for VIIRS Surface Reflectance data products can be found in Section 4.0 “Caveats and Known Problems” in the User Guide.

VNP09GA

VNP09GA. Acquired January 6, 2015. Tile H08V05. Western US.

PI Name: 
Eric Vermote
Decommissioned: 
False
10.5067/VIIRS/VNP09CMG.001
VIIRS/NPP Surface Reflectance Daily L3 Global 0.05Deg CMG
VNP09CMG

The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance Climate Modeling Grid (VNP09CMG) Version 1 product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. Included in the product along with the twelve reflectance bands are five moderate-resolution brightness temperature bands (M12, M13, M14, M15, M16) and information layers representing solar and sensor azimuth and zenith angles, reflectance band quality, time of day, and number mapping. Validation at stage 1 is complete for VIIRS surface reflectance products.

Collection

Characteristic Description
Temporal Granularity Daily
Temporal Extent January 19, 2012 -- Present
Spatial Extent Global
File Size ~850 MB
Coordinate System Geographic Latitude and Longitude
Datum N/A
File Format HDF-EOS5
Geographic Dimensions Global

 

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers 32
Columns/Rows 7200 x 3600
Pixel Size 5600 m

 

Data Layer Characteristics

SDS Name Description Units Data Type Fill Value Valid Range Scale Factor
SurfReflect_I1

Surface Reflectance CMG Band I1

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_I2

Surface Reflectance CMG Band I2

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_I3

Surface Reflectance CMG Band I3

Reflectance 16 bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M1_1

Surface Reflectance CMG Band M1

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M2_1

Surface Reflectance CMG Band M2

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M3_1

Surface Reflectance CMG Band M3

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M4_1

Surface Reflectance CMG Band M4

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M5_1

Surface Reflectance CMG Band M5

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M7_1

Surface Reflectance CMG Band M7

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M8_1

Surface Reflectance CMG Band M8

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M10_1

Surface Reflectance CMG Band M10

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_M11_1

Surface Reflectance CMG Band M11

Reflectance 16-bit signed integer

-28672

-100 to 16000

0.0001
SurfReflect_QF_1

Quality Flag 1 

Bit Field 8-bit unsigned integer

255

0 to 255

NA
SurfReflect_QF_2

Quality Flag 2

Bit Field 8-bit unsigned integer

255

0 to 255

NA
SurfReflect_QF_3

Quality Flag 3

Bit Field 8-bit unsigned integer

255

0 to 255

NA
SurfReflect_QF_4

Quality Flag 4

Bit Field 8-bit unsigned integer

255

0 to 255

NA
SurfReflect_QF_5

Quality Flag 5

Bit Field 8-bit unsigned integer

255

0 to 255

NA
SurfReflect_QF_6

Quality Flag 6

Bit Field 8-bit unsigned integer

255

0 to 255

NA
BrightTemp_M12

Brightness Temperature CMG Band M12

Kelvin 16-bit unsigned integer

0

0 to 40000

0.01
BrightTemp_M13

Brightness Temperature CMG Band M13

Kelvin 16-bit unsigned integer

0

0 to 40000

0.01
BrightTemp_M14

Brightness Temperature CMG Band M14

Kelvin 16-bit unsigned integer

0

0 to 40000

0.01
BrightTemp_M15

Brightness Temperature CMG Band M15

Kelvin 16-bit unsigned integer

0

0 to 40000

0.01
BrightTemp_M16

Brightness Temperature CMG Band M16

Kelvin 16-bit unsigned integer

0

0 to 40000

0.01
Granule_Time

Granule Time

HHMM 16-bit signed integer

0

0 to 2355

1
Number_Mapping_1

Number Mapping 1 Adjacent cloud/snow

None 32-bit unsigned integer

0

0 to 2097151

NA
Number_Mapping_2

Number Mapping 2 cloud/cloud shadow

None 32-bit unsigned integer

0

0 to 2097151

NA
n_375m_pixels_averaged

Number 500 m pixels averaged

None 16-bit unsigned integer

0

1 to 200

NA
n_750m_pixels_averaged

Number 1000 m pixels averaged

None 16-bit unsigned integer

0

1 to 400

NA
State_QA

CMG state quality assurance flags

Bit Field 16-bit signed integer

0

1 to 65535

NA
RelativeAzimuth

Relative azimuth angle

Degree 16-bit signed integer

0

-18000 to 18000

0.01
SensorZenith

Sensor zenith angle

Degree 16-bit signed integer

0

0 to 18000

0.01
SolarZenith

Solar zenith angle

Degree 16-bit signed integer

0

0 to 18000

0.01

 

 

Product Quality

The bit field mappings for quality flag (QF) layers 1 – 6 and number mapping are provided in Section 3.3 and 3.4 Tables 20 - 22 of the User Guide.

For complete information about product quality, refer to the VIIRS Land Product Quality web site.

 

Known Issues

Known issues for VIIRS Surface Reflectance data products can be found in Section 4.0 “Caveats and Known Problems” of the User Guide.

VNP09CMG

VNP09CMG. Acquired January 6, 2015. Western US.

PI Name: 
Eric Vermote (NASA GSFC)
Decommissioned: 
False

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