FUEL-SAT PROJECT

TASKS

Field sample plots
Field sample plots

Task 1 — Field Sampling Design

Three main steps:

  1. Select the most recent ICESat-2 ground track
  2. Select ~100 ICESat-2 segments (100m x 17 m)
  3. Select ~100 field plots outside of the ICESat-2 data

Coordination: Nuno Guiomar, (support from Susana Barreiro and Sérgio Godinho
Duration: 3 Months (end of June 2021)

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Field measurements for key variables
Field measurements for key variables

Task 2 — Field data collection and processing

Three main steps:

  1. Prepare a field manual, provide crew training and perform data collection.
  2. Perform quality control of the field data.
  3. Create a database with the field measurements and estimates of the key crown and
    understory variables.

Coordination: Susana Barreiro, (support from Brigite Botequim, Sérgio Godinho, Nuno Guiomar)
Duration: 27 Months (April 2021 to June 2023) (includes two field campaigns of 3 months each)

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ALS metrics matching the ICESat-2 segments
ALS metrics matching the ICESat-2 segments

Task 3 — Airborne data collection and processing

Three main steps:

  1. Collect ALS data.
  2. Process ALS data.
  3. Compute CC and vegetation mask from ALS RGB and NIR channels .

Coordination: Juan Guerra, (support from Susana Barreiro and Sérgio Godinho
Duration: 4 Months (July to October 2021)

• Define the flight characteristics (this is key!)
• Co-registration between ALS and field data using GPS

Results
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Raster file for each ALS based vegetation metric
Raster file for each ALS based vegetation metric

Task 4 — Relationship between ALS and field data

Build predictive models based for each vegetation metric using as predictors the on ALS
metrics

Coordination: Sérgio Godinho & Juan Guerra
Duration: 6 Months (November 2021 to April 2022)

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raster file for each ICESat-2 based vegetation metric
raster file for each ICESat-2 based vegetation metric

Task 5 — Assessing the potential of ICESat-2 data

Three main steps:

  1. Estimate the key fuel related variables derived with ALS data using the coincident ICESat-2 data.
  2. Provide a quantitative assessment of the accuracy of CH retrievals as compared to coincident ALS estimates.
  3. Analyze how its performance is affected by different factors.

Coordination: Sérgio Godinho, Juan Guerra ( support from Akli Benali)
Duration: 6 Months (May 2022 to October 2022)

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raster file for each ICESat-2 based vegetation metric
raster file for each ICESat-2 based vegetation metric

Task 6 — Wall to wall fuel related variables mapping

Three main steps:

  1. Build a multi sensor dataset (S1, S2, PALSAR, SRTM).
  2. Estimate the key fuel related variables for the entire study region.
  3. Validate the wall to wall estimates of the key fuel variables.

Coordination: Sérgio Godinho (support from Akli Benali)
Duration: 10 Months (November 2022 to August 2023)

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assessment of the added value of satellite based fuel variables
assessment of the added value of satellite based fuel variables

Task 7 — Assessing the impact of satellite derived canopy and surface fuel data on fuel management

Three main steps:

  1. Identify the major disagreements in the estimates of the key fuel variables using two different sources of data: satellite derived (Task 6) and reference maps.
  2. Identify future improvements on the fuel model assignment that fully exploit the integration of the satellite derived fuel estimates.
  3. Evaluate how the location for priority fuel treatments is affected by changes in the key fuel
    related variables using the two different sources of data.

Coordination: Akli Benali (support from Paulo Fernandes and Carlos Rossa)
Duration: 10 Months (June 2023 to March 2024)

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