Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19<sup>e</sup>siècle

Herrault, Pierre Alexis; Fauvel, Mathieu; Paegelow, Martin

doi:10.3166/rig.25.35-51

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…The results show that the treatment chain is accurate for extracting red-hatched polygons and red zones when the map sheets contain the data to extract (accuracy exceeds 99%). This accuracy is of the same order of magnitude than the study of Herrault et al 54 for the classification of forests on the ordnance survey map. But if the map sheets do not contain the data to extract, the classification is not reliable.…”

Section: Assessment Of the Classification Methodsmentioning

confidence: 47%

Automatic extraction of former WWI battlefields from ancient maps

Paradelle,

Laslier,

DeCocq

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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The former battlefields of World War I (WWI) provide an interesting framework for studying the long-term impacts of ancient anthropogenic disturbances on current ecosystem functioning. The 47 map sheets of devastated regions at 1:50,000 scale edited in 1920 by the geographic service of French army locate the areas heavily damaged by trenches and bombing, the destructed cities, roads and forests inventoried at the end of WWI. As they stand, these scanned maps are not usable under a geographic information system (GIS). A protocol was implemented on 5 sheets to compare the effect of two transformation models (thin plate spline and polynomial order 3) and the number of ground control points on the quality of georeferencing. A second protocol based on morphological operators, color space transformation and K-means clustering classification was tested on 12 different map sheets to extract areas heavily damaged and figures of punctual destructions. Neither significant effects of transformation model or number of ground control points were confirmed. The local thin plate spline method exacerbates non-natural local distortions linked to the research of ground control points and the simplification of physical objects on the maps. With polynomial order 3 transformation and 50 ground control points, residuals vary from 35 to 70 m depending on the map. The second protocol extracted accurately data of interest, with an accuracy varying between 0.31 and 100% depending on data to extract and their presence or absence on the map sheets. The resulting shapefiles are now available and workable in GIS.

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Section: Assessment Of the Classification Methodsmentioning

confidence: 47%

Automatic extraction of former WWI battlefields from ancient maps

Paradelle,

Laslier,

DeCocq

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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Influence of habitat fragmentation and habitat amount on soil fungi communities in ancient forests

Raimbault,

Brin,

Manzi

et al. 2024

Landsc Ecol

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Context Fungi represent a large part of soil biodiversity as well as an essential role for tree hydromineral nutrition, survival, and carbon cycling. While their local diversity has proven to be shaped by abiotic and biotic factors related to soil, climate and vegetation, their response to landscape fragmentation is still debated. Objectives In this paper, we focus on ancient forests characterized by the presence of beech at low elevation, a habitat particularly fragmented in South-West France. We aim to assess the effect of past and present forest fragmentation and quantity on soil fungal and functional group diversity. We expect a negative impact of fragmentation and a positive effect of forest quantity on soil fungal diversity, in addition to an influence of local soil factors. Methods Soils from 41 1ha ancient forest plots across South-West France were sampled along gradients of past and present forest fragmentation and quantity, before their fungal diversity was characterized by metabarcoding of environmental DNA. Hill numbers have been computed and applied to all fungi, trophic guilds and growth forms. Results We find that past forest fragmentation negatively impacts on soil fungal diversity and in particular for symbiotrophs, while the present forest quantity has a positive impact. In contrast, the species richness of pathotrophic fungi shows a negative correlation with past forest fragmentation. The diversity of fungal groups with lower dispersal abilities (e.g., corticioid, microfungi) is negatively impacted by past forest fragmentation, while the diversity of wind-dispersed fungi (e.g., agaricoid) is not influenced by any landscape descriptors. Conclusions Our results show the complexity of fungal responses to past and present forest fragmentation and demonstrate the long-lasting effect of past fragmentation as well as the positive impact of recent forest quantity in the landscape on fungal diversity associated with ancient forest soils. Our study also highlights the huge diversity of fungi unraveled by eDNA metabarcoding in this habitat and the potential of such techniques to study the landscape ecology of soil communities.

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Spatio-temporal dynamics of forest ecosystems revealed by the LiDAR-based characterization of medieval field systems (Vosges Mountains, France)

et al. 2023

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Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19^esiècle

Abstract: Dans cet article, nous proposons une nouvelle méthode pour extraire automatiquement les forêts dans les cartes d'Etat

Cited by 5 publications

References 15 publications

Automatic extraction of former WWI battlefields from ancient maps

Automatic extraction of former WWI battlefields from ancient maps

Influence of habitat fragmentation and habitat amount on soil fungi communities in ancient forests

Spatio-temporal dynamics of forest ecosystems revealed by the LiDAR-based characterization of medieval field systems (Vosges Mountains, France)

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Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19esiècle

Abstract: Dans cet article, nous proposons une nouvelle méthode pour extraire automatiquement les forêts dans les cartes d'Etat

Cited by 5 publications

References 15 publications

Automatic extraction of former WWI battlefields from ancient maps

Automatic extraction of former WWI battlefields from ancient maps

Influence of habitat fragmentation and habitat amount on soil fungi communities in ancient forests

Spatio-temporal dynamics of forest ecosystems revealed by the LiDAR-based characterization of medieval field systems (Vosges Mountains, France)

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Product

Resources

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Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19^esiècle