Title:
Satellite Monitoring of Poplar Biomass in Agro-energy Systems Using NIR Imagery
Author(s):
Bettini, G.M.
Document(s):
Paper
Poster
Abstract:
This study uses multispectral satellite imagery, focusing on the near-infrared (NIR) band, to identify the spectral signature of poplar biomass cultivated for energy. The Normalized Difference Vegetation Index (NDVI) was applied to monitor the vegetation health of poplar fields. By analyzing satellite data from Landsat 8 and utilizing Artificial Intelligence (AI) for classification, a spectral signature for the AF18 poplar clone was defined. NDVI values ranging from 0.615 to 0.723 were identified for optimal vegetative conditions. This approach provides an effective method for remote monitoring, enabling real-time assessment of biomass plantations, and supports agronomic decision-making for biomass power plants.
Keywords:
geographical information system (GIS), poplar, monitoring, remote sensing, NIR imagery
Topic:
Sustainable Resources for Decarbonising the Economy
Subtopic:
Biomass resources and potentials
Event:
33rd European Biomass Conference and Exhibition
Session:
1BV.3.22
Pages:
125 - 130
ISBN:
978-88-89407-25-7
Paper DOI:
10.5071/33rdEUBCE2025-1BV.3.22
Price:
FREE
