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ABoVE: MODIS-derived Maximum NDVI, Northern Alaska and Yukon Territory for 2002-2017

Documentation Revision Date: 2018-09-21

Data Set Version: 1

Summary

This dataset provides the maximum Normalized Difference Vegetation Index (NDVI) at 1-km resolution over northern Alaska, USA and the Yukon Territory, Canada for each year from 2002-2017, as well as a 16 year maximum NDVI product. MODIS products MOD13Q1 and MYD13Q1 from Collection 6 were acquired at 250-m pixel size from June 1-August 30 of each year. Within each growing season from 2002-2017, the maximum NDVI was determined for each pixel. These maximum NDVI values were then aggregated to 1-km by selecting the maximum NDVI from the sixteen 250-m pixels values nested within each 1-km pixel. A long-term 16-year maximum NDVI was then derived from the time series of annual maximum NDVI values.

There are 17 data files in GeoTIFF (.tif) format with this dataset.

Figure 1. Long-term maximum NDVI for the Alaska, USA and the Yukon Territory, Canada study area covering the years 2002-2017.

Citation

Verbyla, D. 2018. ABoVE: MODIS-derived Maximum NDVI, Northern Alaska and Yukon Territory for 2002-2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1614

Table of Contents

  1. Data Set Overview
  2. Data Characteristics
  3. Application and Derivation
  4. Quality Assessment
  5. Data Acquisition, Materials, and Methods
  6. Data Access
  7. References

Data Set Overview

This dataset provides the maximum Normalized Difference Vegetation Index (NDVI) at 1-km resolution over northern Alaska, USA and the Yukon Territory, Canada for each year from 2002-2017, as well as a 16 year maximum NDVI product. MODIS products MOD13Q1 and MYD13Q1 from Collection 6 were acquired at 250-m pixel size from June 1-August 30 of each year. Within each growing season from 2002-2017, the maximum NDVI was determined for each pixel. These maximum NDVI values were then aggregated to 1-km by selecting the maximum NDVI from the sixteen 250-m pixels values nested within each 1-km pixel. A long-term 16-year maximum NDVI was then derived from the time series of annual maximum NDVI values.

Project: Arctic-Boreal Vulnerability Experiment

The Arctic-Boreal Vulnerability Experiment (ABoVE) is a NASA Terrestrial Ecology Program field campaign based in Alaska and western Canada between 2016 and 2021. Research for ABoVE links field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications.

Acknowledgements:

This research was funded under NASA grant number NNX15AU21A

Data Characteristics

Spatial Coverage: Northern Alaska and Yukon Territory, Canada

ABoVE Reference Locations:

 Domain: Core ABoVE

 State/territory: Alaska and Yukon Territory, Canada

Spatial resolution: 1 km

Temporal coverage: 2002-06-01 to 2017-08-30

Temporal resolution: Annual and long-term (16 year) maximum

Study Areas (All latitude and longitude given in decimal degrees)

Site Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude
Alaska and Canada -175.763 -97.9319 68.96583 52.16944

 

Data file information and description

There are 17 data files in GeoTIFF (.tif) format with this dataset. Sixteen files provide maximum NDVI at 1-km resolution over northern Alaska, USA and the Yukon Territory, Canada for each year from 2002-2017, and one file contains the long-term (2002-2017) maximum NDVI in each 1-km pixel.

Scale Factor: The maximum NDVI values reported here are scaled by a factor of 10,000, thus values range from 2000 (representing NDVI = 0.2) to greater than 9000 (representing NDVI vales > 0.9).

Fill value: Pixel values of -1 represent missing data due to unvegetated conditions (NDVI < 0.2), fill pixels, or pixels contaminated by cloud and cloud shadow.

The file names and summary of the NDVI data values are provided in the table below.

Table 1. Properties of the GeoTIFF files.

File name Minimum value Maximum value Mean Std deviation
long_term_max_NDVI.tif 2001 9996 7972 1109.9
max_NDVI_2002.tif 2001 9996 7459.2 991.4
max_NDVI_2003.tif 2001 9996 7481.3 986.5
max_NDVI_2004.tif 2001 9995 7468.8 1004.8
max_NDVI_2005.tif 2001 9994 7388.3 1005
max_NDVI_2006.tif 2001 9996 7515.3 975.3
max_NDVI_2007.tif 2001 9995 7555.7 959.8
max_NDVI_2008.tif 2001 9994 7514.6 955.3
max_NDVI_2009.tif 2001 9993 7371.2 958.5
max_NDVI_2010.tif 2001 9995 7422 975.2
max_NDVI_2011.tif 2001 9994 7510.5 948.2
max_NDVI_2012.tif 2001 9995 7568.9 930.4
max_NDVI_2013.tif 2001 9995 7682.2 982.9
max_NDVI_2014.tif 2001 9994 7503 945.6
max_NDVI_2015.tif 2001 9996 7563.9 1042.3
max_NDVI_2016.tif 2001 9995 7605.6 953.3
max_NDVI_2017.tif 2001 9966 7512.9 1053

 

Projection information

PROJCS: NAD 1983 Alaska Albers,

DATUM: North American Datum 1983

SPHEROID GRS 1980,6378137,298.2572221010042

  AUTHORITY: EPSG, 7019,  AUTHORITY: EPSG, 6269

PRIMEM: Greenwich ,0

UNIT:  degree, 0.0174532925199433

AUTHORITY: EPSG 4269

PROJECTION: Albers Conic Equal Area

PARAMETER: standard parallel 1, 55

PARAMETER: standard parallel 2, 65

PARAMETER: latitude of center, 50

PARAMETER: longitude of center, -154

PARAMETER: false easting, 0

PARAMETER: false northing, 0

AUTHORITY: EPSG 9001    

Application and Derivation

NDVI is the most widely used proxy for vegetation cover and productivity. The long-term trend in maximum NDVI in the Arctic may indicate responses of that ecosystem to climate change.

Quality Assessment

Only NDVI values with a MODIS reliability flag of "good quality" or zero were used. Any input 250-m NDVI value less than 0.2 as "unvegetated" or poor quality was excluded. These pixels were assigned a value of -1. There was a strong relationship between maximum NDVI values and elevation for alpine areas within the extent of this dataset.

Example of long term NDVI declining with elevation for four climatic classes

Figure 2. Example of long term NDVI declining with elevation for four climatic classes of mountain areas in Alaska and western Canada.

 

Data Acquisition, Materials, and Methods

MODIS products MOD13Q1 and MYD13Q1, Collection 6, were acquired at 250-m pixel size from June 1-August 30 each summer from 2002 through 2017 to determine the maximum Normalized Difference Vegetation Index (NDVI) for northern Alaska and the Yukon Territory, Canada. The MODIS global tiles of H10V02, H11V02, and H12V02 were mosaiced and re-projected to the Alaska Albers NAD83 Equal Area Projection at 250-m pixel size. For each summer, 2002-2017, the maximum NDVI was determined for each 250-pixel.

Example of summer maximum NDVI

Figure 3. Example of summer maximum NDVI derived from an 8-day time series.  In this example, the maximum NDVI of 0.78 for the pixel (black marker symbol) was selected from early July.

The 16-year maximum NDVI for each pixel was then derived from the time series of annual maximum NDVI values.

Long-term maximum NDVI for a 250-m pixel

Figure 4. Long-term maximum NDVI for a 250-m pixel.  In this example, the long-term maximum NDVI (black marker symbol) was 0.87 from 2012 for the pixel.

These long-term NDVI values were then aggregated to 1-km by selecting the maximum NDVI from the sixteen 250-m pixels maximum NDVI values nested within each 1-km pixel.

Long term maximum NDVI for 1-km pixel size derived from sixteen 250-m pixels.

Figure 5. Long term maximum NDVI for 1-km pixel size derived from sixteen 250-m pixels.

Scale Factor: Since floating point values require 4-bytes, the NDVI values are scaled as 2-byte integers.  The maximum NDVI values at 1-km pixel size are scaled to integer values by 10,000 ranging from 2000 (representing NDVI 0.2) to greater than 9000 (representing NDVI vales > 0.9). Pixel values of -1 represent missing data due to unvegetated conditions (NDVI < 0.2), fill pixels, or pixels contaminated by cloud and cloud shadow.

Data Access

These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

ABoVE: MODIS-derived Maximum NDVI, Northern Alaska and Yukon Territory for 2002-2017

Contact for Data Center Access Information:

References

None provided.