Latest Score:

5/5

in 2018

score trend is flat over time
Weight: 10%

Canopy density is an assessment of how lush and green a forest stand is, which can be used as a proxy for photosynthetic activity. It can be estimated using data from the MODIS1 satellite. Canopy reflectance at different wavelengths is used to calculate a normalized difference vegetation index (NDVI), which is an assessment of overall greenness of the forest canopy. Higher NDVI values are associated with a greener and more photosynthetically-active forests. MODIS captures NDVI twice a month over Vermont's forests. Here, NDVI is aggregated across the full growing season. The current year is scored as the distance between the minimum and maximum values.

1 NASA MODIS . Available at: https://modis.gsfc.nasa.gov/

Because canopy density values for a healthy forest vary across forest types, here we interpret canopy density on a relative scale and focus on changes over time rather than raw density values.  This approach shows that while growing season canopy density varies from year to year due to various stress agents (e.g. pest outbreaks, drought, etc.), overall the growth and health of Vermont’s forests as captured by canopy density has remained consistently high over the 15 year data period, with 2018 reporting the highest yearly average to date.

Interpretation provided by:

Jennifer Pontius. Research Ecologist, US Forest Service; Principal Investigator, Forest Ecosystem Monitoring Cooperative (2020)

----------

The score is calculated using a target value and the historical range of the the entire long-term dataset. The higher the score, the closer this year's value is to the target.

Once the score is computed for each year, the trend in scores over time is calculated. If the trend is significantly positive or negative, the long-term trend is marked as increasing or decreasing respectively.

Component Description
Scored as

Distance between the minimum and maximum (scored 1-5)

Target value

Data maximum

Directionality of scores

Higher values in the data are better

Minimum value used in scoring

Data minimum - 10% of the range

Maximum value used in scoring

Data maximum + 10% of the range

Using MODIS1 phenology remote sensing products2, we selected the Time Integrated (TIN) Normalized Difference Vegetation Index (NDVI) to quantify maximum canopy greenness over a growing season. Available DUR images began in 2001. We first excluded all pixels with a value of either 0 (no data) or 255 (water bodies). Using National Land Cover Dataset (2011), we created a forest cover layer by masking out all non-forest pixels (i.e. those not identified as forest/woody wetlands [values 41, 42, 43, 90]). We used this forest mask to compute the mean TIN and standard deviation of the mean TIN across all forest-cover pixels per year. We also computed the long-term mean over record. We set the target for this dataset as the maximum value. The current year was scored based on where it falls between zero and the target, scaled to be between 1 and 5.

1 NASA MODIS . Available at: https://modis.gsfc.nasa.gov/
2 MODIS Phenology Metrics. 2018. Available at: https://earthexplorer.usgs.gov
 

CONDITION INDICATORS