Francesco Scalera
Aboveground Biomass Estimation from Satellite Imagery.
Rel. Paolo Garza, Edoardo Arnaudo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
|
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract: |
In the field of studying carbon release and sequestration by forests, Aboveground Biomass (AGBM) is a popular measure for estimating how much carbon dioxide forests are absorbing and releasing into the atmosphere. Remote sensing methods provide a faster and less destructive approach for biomass estimation compared to the more invasive technique called destructive sampling, specifically the permanent removal of material from a specimen for analyses. Additionally, this information enables landowners and policymakers to make more informed decisions for forest conservation. In this context, LiDAR is a remote sensing technique that o |
---|---|
Relatori: | Paolo Garza, Edoardo Arnaudo |
Anno accademico: | 2023/24 |
Tipo di pubblicazione: | Elettronica |
Numero di pagine: | 55 |
Soggetti: | |
Corso di laurea: | Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering) |
Classe di laurea: | Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA |
Aziende collaboratrici: | FONDAZIONE LINKS |
URI: | http://webthesis.biblio.polito.it/id/eprint/29357 |
Modifica (riservato agli operatori) |