Roberto Pilli , Alexandra Runge , Gherardo Chirici , Elia Vangi , Alessio Collalti , Martin Herold
{"title":"遥感、国家森林清查和行政调查系统提供的采伐统计数据的综合分析:来自意大利的一个例子","authors":"Roberto Pilli , Alexandra Runge , Gherardo Chirici , Elia Vangi , Alessio Collalti , Martin Herold","doi":"10.1016/j.jag.2025.104871","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div><div>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.</div><div>We highlighted that no data source, considered individually, can provide a comprehensive estimate of the harvest level and its evolution in time.</div><div>Between 2000 and 2023, total fellings ranged from a peak of 16.5 million m<sup>3</sup> in 2006 to a low of 10.4 million m<sup>3</sup> in 2014.</div><div>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.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"144 ","pages":"Article 104871"},"PeriodicalIF":8.6000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy\",\"authors\":\"Roberto Pilli , Alexandra Runge , Gherardo Chirici , Elia Vangi , Alessio Collalti , Martin Herold\",\"doi\":\"10.1016/j.jag.2025.104871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div><div>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.</div><div>We highlighted that no data source, considered individually, can provide a comprehensive estimate of the harvest level and its evolution in time.</div><div>Between 2000 and 2023, total fellings ranged from a peak of 16.5 million m<sup>3</sup> in 2006 to a low of 10.4 million m<sup>3</sup> in 2014.</div><div>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.</div></div>\",\"PeriodicalId\":73423,\"journal\":{\"name\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"volume\":\"144 \",\"pages\":\"Article 104871\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1569843225005187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569843225005187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy
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 m3 in 2006 to a low of 10.4 million m3 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.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.