Leveraging remote sensing to identify optimal national-scale locations for pyrolysis plants based on agricultural residues

This poster was presented at the 45th EARSeL Symposium in Athens, Greece (29 Sep - 2 Oct 2026) by Erico Kutchartt, Forest Science and Technology Centre of Catalonia (CTFC).

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-29
DOI
https://doi.org/10.5281/zenodo.23054931
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Leveraging remote sensing to identify optimal national-scale locations for pyrolysis plants based on agricultural residues

Andrés Weintraub, Núria Aquilué, Erico Kutchartt, Neus Puy et al.
Zenodo (CERN European Organization for Nuclear Research)
Thermochemical Biomass Conversion Processes
article

Leveraging remote sensing to identify optimal national-scale locations for pyrolysis plants based on agricultural residues

Andrés Weintraub, Núria Aquilué, Erico Kutchartt, Neus Puy, Francesco Pirotti
article en

Abstract

This poster was presented at the 45th EARSeL Symposium in Athens, Greece (29 Sep - 2 Oct 2026) by Erico Kutchartt, Forest Science and Technology Centre of Catalonia (CTFC).

Zenodo (CERN European Organization for Nuclear Research)
University of Padua (IT), Forest Science and Technology Centre of Catalonia (ES), University of Chile (CL)
Zero hunger
Openalex Percentile: Top 22%
Thermochemical Biomass Conversion Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.