Digitalization and Classification of Cesare Battisti’s Atlas of 1915
Bibliographic Data
| ID | 22034465 |
|---|---|
| Authors | Paolo Zatelli (0000-0003-3095-0472, University of Trento, corresponding author), Nicola Gabellieri (0000-0002-9220-9893, University of Trento), Angelo Besana (0000-0002-1549-9591, University of Trento) |
| Year | 2022 |
| Volume | 11 |
| Issue | 4 |
| Pages | 238 |
| Publication date | 2022-04-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11040238 |
| OpenAlex | W4226103781 |
| Language | EN |
| Citations received | 2 |
| References cited | 30 |
The paper deals with an automated methodology for the digital acquisition of thematic information from historical maps in order to use them for spatial analysis in a GIS software. This methodology has been applied to an early XIX c. map in order to assess the historical changes in the forest coverage in Trentino. Specifically, a tailored Object Based Image Analysis (OBIA) and filtering procedure has been applied to digitize and georeference Cesare Battisti’s map of forest density published in his atlas “Il Trentino. Economic Statistical Illustration” from 1915. According to the historical ecology approach, forest history can be analyzed and evaluated with the use of historical documentary sources. Following this approach, historical cartography is a precious information tool, and in many respects unique, through which it is possible to reconstruct the evolution of the forest cover of a given territory. Trentino, in particular, has a rich heritage of historical maps from which to draw useful information for the construction of a qualitative and quantitative diachronic picture of the evolutionary dynamics of wooded areas. In these territories, forest management is a topic of great importance both for its socio-economic implications and for the more strictly environmental ones, connected to the increasingly urgent need to implement mitigation and adaptation policies towards climate change. Thus, the paper presents the historical maps and illustrates the methodology used for the digitisation. Data extracted by the historical sources have been compared with the current one in order to identify changes in forest density in the last century
Cartography · Data science · Environmental resource management · Geographic information system · Geography · Georeference · Physical geography · Thematic map · Computer Science · Forest Ecology and Biodiversity Studies · Land Use and Ecosystem Services · Remote Sensing and LiDAR Applications · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |