CV Lattes
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Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
PhD, research focuses on forest ecology, management and restoration using remote sensing technologies. Currently he has a joint post-doctoral position in the Department of Forest Resources at the University of São Paulo (Brazil) and at the School of Forest Resources and Conservation at the University of Florida. Danilo obtained his Ph.D. in Forest Resources from the University of São Paulo, 2019; his M.S. in Tropical Forest, from the National Institute of Amazonian Research, 2015; and his B.S. in Forest Engineering, from the Federal University of Viçosa, 2012. His main current project is focused in monitoring forest landscape restoration from unmanned aerial vehicles using lidar and hyperspectral remote sensing. (Source: Lattes Curriculum)
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Several countries have submitted ambitious international pledges to restore by 2030 over 350 million hectares of degraded and deforested landscapes into multi-functional landscapes. Planning and monitoring forest and landscape restoration programs requires more comprehensive information at large scale using cost-effective methodologies to distinguish forest typologies and assess the recov…
We live in an era of unprecedented environmental change, with extensive degraded landscapes and great opportunities to transform these unproductive lands in functional landscapes and restore ecosystems that provide multiple benefits to society and future generations from processes such as the Forest Landscape Restoration (FLR), seeking the restoration of forests along with food production…
The accountability of ambitious forest and landscape restoration pledges rely on the development of cost-effective methods for characterizing and monitoring undergoing restoration. New remote sensing tools, such as lidar and hyperspectral sensors, have demonstrated great potential for achieving these goals, yet the estimation of tree demography and diversity by these technologies is still…
Many studies use small footprint LiDAR technology to estimate canopy structure variables,such as forest height, leaf area vertical profiles and biomass stocks, for use in ecologicalmonitoring and modeling. Thus, it is critical to develop universal approaches to estimate theseforest structural parameters from LiDAR to allow comparison among LiDAR devices, surveysconducted under different c…
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