posted on 2025-07-14, 08:53authored byM.A. Tanase, M.C. Mihai, S. Miguel, A. Cantero, J. Tijerin-Triviño, P. Ruiz-Benito, D. Domingo, A. Garcia-Martin, C. Aponte, M.T. Lamelas
<p dir="ltr">The dataset includes annual maps of forest aboveground biomass for the Community of Madrid (Spain) covering the period from 1985 to 2023. The maps were derived using a synergistic approach that combines data from airborne LiDAR (provided by the Spanish National Plan for Aerial Orthophotography, PNOA), Landsat satellite imagery, and the Spanish National Forest Inventory. </p><p dir="ltr">The combination of time-series Landsat data and LiDAR allowed for the generation of spatially explicit biomass maps that reflect forest aboveground biomass dynamics over 39 consecutive years.The maps were developed in study entitled <i>"Long-term annual estimation of forest above ground biomass, canopy cover, and height from airborne and spaceborne sensors synergies in the Iberian Peninsula"</i>, authored by M.A. Tanase, M.C. Mihai, S. Miguel, A. Cantero, J. Tijerin-Triviño, P. Ruiz-Benito, D. Domingo, A. Garcia-Martin, C. Aponte, and M.T. Lamelas. DOI: <a href="https://eur03.safelinks.protection.outlook.com/?url=https://doi.org/10.1016/j.envres.2024.119432&data=05|02|julian.tijerin@uah.es|46e3fd9fce544dc3f47d08ddc2b1b052|ced2c5527d1f4731aa3a2f0ec9629e26|1|0|638880790853378929|Unknown|TWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ==|0|||&sdata=4GorKjZsT7/6/5xyLxMw+EmbAfJyYiLGfyI7YS93jI0=&reserved=0" rel="noopener noreferrer" target="_blank">https://doi.org/10.1016/j.envres.2024.119432</a></p>