The 1936 Italian Kingdom Forest Map reviewed: a dataset for landscape and ecological research.

Annals of Silvicultural Research Pub Date : 2018-06-20 DOI:10.12899/ASR-1411

F. Ferretti, Chiara Sboarina, C. Tattoni, A. Vitti, P. Zatelli, F. Geri, E. Pompei, M. Ciolli

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引用次数: 26

Abstract

The recovery of the 1936 Italian Kingdom Forest Map (IKFM) (276 sheets 1:100,000) is described. It is a unique document that describes the forest extent and species composition for the whole of Italy. The original document is available in paper format using a datum and a map projection no longer in use, therefore it is not suitable for analysis using current digital tools. Therefore, this map has been firstly converted to a digital image, georeferenced and reprojected as a raster map in the official Italian datum; secondly, has been digitalized in vector format. This map provides historical, ecological and landscape information and fills a great temporal gap in those portions of Italy where landscape maps are available for some earlier periods. Its importance is extended to parts of Croatia, Slovenia and France. The technical problems faced in the recovery and transformation of the cartography into a usable format are described and discussed. A first data overview and analysis based on a test study, and comparisons with current national forest inventory data aimed to highlight potential and limits of IKFM are presented. T he map is available on-line through a WebGIS at the address carta1936.dicam.unitn.it

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1936年意大利王国森林地图回顾:景观和生态研究的数据集。

描述了1936年意大利王国森林地图(IKFM)(276张1:10万)的恢复。这是一份独特的文件，描述了整个意大利的森林范围和物种组成。原始文件以纸质格式提供，使用的是不再使用的基准和地图投影，因此不适合使用当前的数字工具进行分析。因此，这张地图首先被转换为数字图像，在意大利官方基准上进行地理参考和重新投影为栅格地图;其次，已数字化为矢量格式。这张地图提供了历史、生态和景观信息，填补了意大利早期景观地图的巨大时间空白。它的重要性延伸到克罗地亚、斯洛文尼亚和法国的部分地区。描述和讨论了在将地图恢复和转换为可用格式时所面临的技术问题。本文提出了基于试验研究的第一次数据概述和分析，并与目前国家森林清查数据进行了比较，以突出国际森林资源管理的潜力和局限性。该地图可通过网络地理信息系统(WebGIS)在线获取，地址为carta1936.dicam.unit .it

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry

CiteScore

2.70

自引率

0.00%

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