Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy

• We estimate the amount of fellings in Italy within the period 2000 – 2023. • Total fellings vary from 10.4 mil. m3 to 16.5 mil. m3, moving to 13.0 mil m3 in 2023. • Fellings rate varies from 0.35 to 0.45 but is very uncertain and probably higher. • This is an integrated use of different data sources and a near-real time approach. • No data source individually can provide a comprehensive estimate of harvest level. Forests are a key element for reaching the EU climate neutrality targets, but natural disturbances, climate change and human activities, make it urgent to set up a continuous monitoring system of the main parameters affecting forest ecosystems. A key parameter is the annual felling: the volume of trees felled during a given reference period. We combine National Forest Inventory data, based on direct field measurements, with yearly time series data derived by remote sensing, to assess the amount of fellings carried out in Italy between 2000 and 2023. Italy was selected as a representative case study as harvest statistics are missing or partially inconsistent, which is also the case for other European countries. We highlighted that no data source, considered individually, can provide a comprehensive estimate of the harvest level and its evolution in time. Between 2000 and 2023, total fellings ranged from a peak of 16.5 million m 3 in 2006 to a low of 10.4 million m 3 in 2014. A near real-time assessment of the harvest level, such as estimated within our study, is increasingly important to quantify the impact of human activities on forest ecosystems. According to our results, the fellings rate, i.e. the ratio between fellings and increment, was about 0.38 within the latest years. Nevertheless, considering the uncertainty of all input data, the total fellings ranged by about ± 50 %, and the corresponding fellings rate could be significantly larger. From this arises the urgent need to set up a continuous monitoring system, integrating National Forest Inventory surveys and remote sensing data reliably, not only in Italy, but across the EU.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2025-09-25
DOI
https://doi.org/10.1016/j.jag.2025.104871
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy

Alessio Collalti, Alexandra Runge, Roberto Pilli, Martin Herold et al.
International Journal of Applied Earth Observation and Geoinformation
Remote Sensing and LiDAR Applications
article

Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy

Alessio Collalti, Alexandra Runge, Roberto Pilli, Martin Herold, Elia Vangi, Gherardo Chirici
article en

Abstract

• We estimate the amount of fellings in Italy within the period 2000 – 2023. • Total fellings vary from 10.4 mil. m3 to 16.5 mil. m3, moving to 13.0 mil m3 in 2023. • Fellings rate varies from 0.35 to 0.45 but is very uncertain and probably higher. • This is an integrated use of different data sources and a near-real time approach. • No data source individually can provide a comprehensive estimate of harvest level. Forests are a key element for reaching the EU climate neutrality targets, but natural disturbances, climate change and human activities, make it urgent to set up a continuous monitoring system of the main parameters affecting forest ecosystems. A key parameter is the annual felling: the volume of trees felled during a given reference period. We combine National Forest Inventory data, based on direct field measurements, with yearly time series data derived by remote sensing, to assess the amount of fellings carried out in Italy between 2000 and 2023. Italy was selected as a representative case study as harvest statistics are missing or partially inconsistent, which is also the case for other European countries. We highlighted that no data source, considered individually, can provide a comprehensive estimate of the harvest level and its evolution in time. Between 2000 and 2023, total fellings ranged from a peak of 16.5 million m 3 in 2006 to a low of 10.4 million m 3 in 2014. A near real-time assessment of the harvest level, such as estimated within our study, is increasingly important to quantify the impact of human activities on forest ecosystems. According to our results, the fellings rate, i.e. the ratio between fellings and increment, was about 0.38 within the latest years. Nevertheless, considering the uncertainty of all input data, the total fellings ranged by about ± 50 %, and the corresponding fellings rate could be significantly larger. From this arises the urgent need to set up a continuous monitoring system, integrating National Forest Inventory surveys and remote sensing data reliably, not only in Italy, but across the EU.

International Journal of Applied Earth Observation and GeoinformationVol. 144
University of Padua (IT), Istituto per il Sistema Produzione Animale in Ambiente Mediterraneo (IT), GFZ Helmholtz Centre for Geosciences (DE), National Research Council (IT), University of Florence (IT)
Openalex Percentile: Top 76%
Remote Sensing and LiDAR Applications
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.