SMFM Biota#
The BIOTA tool is part of the Satellite Monitoring for Forest Management (SMFM) project by the World Bank, and it was developed by LTS International and the University of Edinburgh with an integration in the SEPAL platform developed by the SEPAL developer team. The tool relies on the use of JAXA’s ALOS PALSAR L-band mosaics and it allows you to produce outputs of:
Calibrated Gamma0 backscatter
Forest cover
Above-ground biomass
Above-ground biomass change
Classified forest change types (deforestation, degradation, etc)
More information can be found online at https://www.smfm-project.com/.
In this exercise, you will learn how to use the BIOmass Tool for Alos (BIOTA) to calculate above-ground biomass in dry forests and savannas, as well as change maps.
Note
objectives:
Generate maps of above-ground biomass (AGB), Gamma0 backscatter, forest cover, AGB change, deforestation risk, and change type.
Warning
Prerequisites:
SEPAL account
Navigate to the Apps menu by clicking on the wrench icon and typing “SMFM” into the search field. Select “SMFM Biota”.
Note
Sometimes the tool takes a few minutes to load. Wait until you see the tool’s interface. In case the tool fails to load properly, as seen below, please close the tab and repeat the above steps. If this does not work, reload SEPAL.

If none of these steps work, you might need to start another instance. Please see Introduction to SEPAL for steps on how to use the terminal to start a higher instance. A ‘m4’ instance should be enough.
You should see an interface like the one below.

Tip
Depending on your computer screen size, sometimes the left column will be on top of the content, as seen below:

If this is the case, you can:
Adjust your browser zoom level, or

Keep the zoom level but click outside of the column to hide it. Then, to open it again, you will need to click on the three dots located at the top right side.

Downloading the ALOS mosaics#
The first step is to select the parameters for accessing data from ALOS (JAXA). The data is delivered in either 1x1 degree tiles or 5x5 degree collections of tile into SEPAL.
Under Required Inputs
you need the define Latitude and Longitude coordinates. To do so, click on your point of interest on the map that is shown on the right side - this will be the upper-left coordinate of the tiles. The default values are -75 degrees for Longitude and 0 degrees for Latitude. For this exercise, we will demonstrate the steps for Tanzania (Latitude -2.54, and Longitude 31.04 - a point in-between the Moyowosi Game Reserve and the Kigosi Game Reserve, next to the border of the Getta and Kigoma regions).

Note
The BIOTA tool was designed for woodlands and dry forests as it uses a generic equation to calibrate Gamma0 backscatter to forest AGB developed using forest plot data from Mozambique, Tanzania, and Malawi, in southern Africa. For global applicability, the tool supports the calibration of country-specific backscatter-AGB relationships through determined parameters that will be explained later.
Next, we define the two years of interest. For this exercise, we will leave the default values, 2016 for Year 1 and 2017 for Year 2. Year 2 is used for calculating changes.
The tool gives you the option to choose either 1x1 or 5x5 degree tile size. We will select 1x1 tile size for time purposes.
Before selecting Download Images
, we will look into the Optional Inputs
tab.

Different parameters can be changed here. These include the parameters that should be calibrated according to your area of interest and specific forest characteristics. Default values are specific to southern African forests.
Parameter |
Role |
---|---|
Lee filter |
Applies a Lee filter to the data. This reduces inherent speckle noise in SAR imagery. Uncheck if you do not want the filter applied. |
Window size |
Lee filter window size. Defaults to 5 x 5 pixels. |
Downsample factor |
Applies downsampling to inputs by specifying an integer factor to downsample by. Defaults to 1 - no downsampling. |
Forest threshold |
A forest AGB threshold (in tonnes per hectare) to separate forest from non-forest (specific to your location). Defaults to 10 tC/ha. |
Area threshold |
A minimum area threshold (in hectares) to be counted as forest (e.g. a forest patch must be greater than 1 ha in size). Defaults to 0 ha. |
Change area threshold |
A threshold for a minimum change in forest area required to be flagged as a change. Defaults to 2 ha. This is for users who aim to produce change maps. |
Change magnitude threshold |
The minimum absolute change in biomass (in tonnes per hectare) to be flagged as a change. Defaults to 15 tC/ha.This is for users who aim to produce change maps. |
Contiguity |
The criterion of contiguity between two spatial units. The rook criterion defines neighbors by the existence of a common edge between two spatial units. The queen criterion is somewhat more encompassing and defines neighbors as spatial units sharing a common edge or a common vertex. |
Polarisation |
Which SAR polarisation to use. Defaults to HV. |
We will leave the parameters with default values.

Now, go back to the Required Inputs
tab and click Download Images
at the bottom. This will download all ALOS data tiles into your SEPAL account.
Note
Depending on your point coordinates, it may take a significant amount of time before your data finish downloading. For the point in Tanzania, it should take about 5 minutes.
You can see the status of the downloads at the bottom of the page.

Once the downloads are finalized for both years, you are able to see the downloaded files under the SEPAL Files
. Go to module_results
> smfm
> data
.

Here is a demonstration of the above steps:
Processing the data and producing outputs#
Now that the download finished, we can process the data to produce the desired outputs.
Click on the Process
tab on the left side.

For Year 1, we will choose “Forest property” - this will automatically check all outputs available (“Gamma0”, “Biomass”, “Forest Cover”). For Year 2 we will choose “Forest Change” (changes between 2016 and 2017), which will also select all available outputs (“Biomass change”, “Change type”, “Deforestation risk”). These will be explained later. Now, click on Get Outputs
to start the processes.

Note
Depending on your point coordinates, it may take a significant amount of time before your data finish downloading. For the point in Tanzania, it should take about 2 minutes.
Similarly to before, the tool will show the process status at the bottom. You will also note a change of color from white to yellow next to each output. White means not started, Yellow means processing and Green means finalized.

Once done, you will see a message similar to the one below, and all outputs will have a green “light”.

Here is a demonstration of the above steps:
Displaying your outputs#
With the outputs processed, we can now visualize the results.
On the same window, under Display Outputs
, you can select the process to display by clicking on the dropdown ‘Select process’ option.
First select Biomass. Then press Display
. You will see the map pop up on your screen:

This is showing above-ground biomass in tonnes per hectare (tC/ha) for the 1x1 degree tile in Tanzania. To go back to the interface and select the other outputs, you can click anywhere on the screen outside of the map and do the same for the other results.
If you followed these exact steps, your outputs should look similar to the ones below:

A summary of each output is described in the table below:
Output |
Description |
---|---|
Gamma0 |
Gamma0 backscatter in decibels for the polarization specified |
Biomass |
Biomass in tonnes per hectare |
Forest/Woody cover |
Binary classification of forested (1) and non-forested (0) areas |
Change type |
Change described in 7 different types. They are specified below |
Biomass change |
Change in biomass in tonnes per hectare |
Deforestation risk |
Risk of deforestation from Low (1) to High (3) |
There are 7 change types described in the BIOTA tool, each of which is defined as a number 0 to 6 and color-coded on the map. Change types are:
Change class |
Pixel value |
Description |
---|---|---|
Deforestation |
1 |
A loss of AGB from that crosses the |
Degradation |
2 |
A loss of AGB in a location above the |
Minor Loss |
3 |
A loss of AGB that does not cross the |
Minor Gain |
4 |
A gain of AGB that does not cross the |
Growth |
5 |
A gain of AGB in a location above the |
Afforestation |
6 |
A gain of AGB that crosses the |
Nonforest |
0 |
Below |
You can also use the Write Raster
option to save this map into your SEPAL account. Once you click on Write Raster you should see a message in green informing that your export has been completed.

Then, the file will be located in your SEPAL Files. You can download this map by selecting it and clicking on the Download button at the top right corner. This will download the output as a TIF file that can be used in a GIS software.

Here is a demonstration of the above steps:
Additional Resources#
On the left side, you can access:
Source code: this takes you to the source code of the tool, which is a GitHub repository.
Wiki: the “README” file of the tool, you can find additional information and instructions about how to use the tool.
Bug report: in case you notice a bug or have issues using the tool, use this option to report the bug or issue. This will take you to an issue creation page on the GitHub repository of the tool.
