Amazon Rainforest Regrowth Assessment with GEDI and ICESat-2 Lidar Data

A geospatial dataset for assessing secondary forest regrowth in the Amazon, specifically in Rondonia and two calibration sites. It combines lidar data from NASA's GEDI and ICESat-2 missions with auxiliary data like forest age maps to support the findings of Milenkovic et al. 2022. The dataset was created by Milutin Milenković of Wageningen University & Research.

Use Cases

• Calibrating GEDI and ICESat-2 lidar measurements for forest structure based on the provided calibration models and statistics.
• Mapping secondary forest age and extent in the Brazilian Amazon based on the included forest age map for Rondonia.
• Analyzing spatial patterns of deforestation and regrowth using the provided polygon of deforested areas.
• Reproducing research on Amazon rainforest regrowth metrics as described in the associated scientific paper.

Strengths

• Integrates data from two major NASA lidar missions, GEDI and ICESat-2, for cross-validation.
• Includes specific calibration models and site data (FN and TNF sites) for methodological transparency.
• References peer-reviewed research (Milenkovic et al. 2022, Silva Junior et al. 2020) providing scientific context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Wageningen University & Research, based on NASA GEDI and ICESat-2 data.

Collection Method

Satellite and spaceborne lidar data collection combined with ground calibration.

Geography

Brazilian Amazon, specifically the state of Rondonia and two calibration sites (FN and TNF).