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Tag: glad umd

Classifying the dynamics of the forest using the time-series

In this post, we will use the datasets from UMD (Tree Canopy Cover [TCC] and LOSS layers) to calculate and classify the dynamics of the forest. The TCC is available from 1988 and LOSS layers are available from 1989. Here we will be calculating different forest dynamics. Use the final assemblage using this link or … CONTINUE READING

Making Forest Rotation Map

Rotation of the forest is defined as the number of forest disturbance events for the year range, with disturbance defined as a drop of Tree Canopy Cover from >=10% to 0%, or the loss from 1 to 0.

The pseudo-code for the rotation map can be written as:

We travel time for 3 years and … CONTINUE READING

Calculate the amplitude of datasets over a time-series

With the Google Earth Engine, it’s very easy to calculate the amplitude of any time-series datasets. The amplitude in wave physics is defined as the distance between the high and the low peak as shown in the picture below. Similarly, for any raster datasets for a time series, the amplitude is the difference of the … CONTINUE READING

Get Primary Forest Map using the Tree Canopy Cover

The primary forest can be mapped in a number of ways. One of them is described here, where the base year 2000 map for the primary forest is used in relation with the forest definitions on tree canopy cover (tcc) and tree canopy height (tch) to calculate the primary forest in each year. Turns … CONTINUE READING

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