WorldCat Identities

Adamo, Maria

Overview
Works: 4 works in 9 publications in 2 languages and 42 library holdings
Genres: Catalogs 
Roles: Editor, Author
Classifications: NK7152.A3, 726
Publication Timeline
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Most widely held works by Maria Adamo
Argentieri e argenteria sacra in Romagna : dal Medioevo al XVIII secolo by Franco Faranda( Book )

6 editions published in 1990 in Italian and held by 37 WorldCat member libraries worldwide

Gli dèi propizi : la Basilica Hilariana nel contesto dello scavo dell'Ospedale militare Celio (1987-2000)( Book )

1 edition published in 2013 in Italian and held by 3 WorldCat member libraries worldwide

I reperti vitrei dagli scavi recenti nella Basilica Hilariana sul Celio, Roma : tesi di laurea by Maria Adamo( Book )

1 edition published in 2005 in Italian and held by 1 WorldCat member library worldwide

Habitat mapping of coastal wetlands using expert knowledge and Earth observation data( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Long-term habitat mapping and change detection are essential for the management of coastal wetlands as well as for evaluating the impact of conservation policies. Earth observation (EO) data and techniques are a valuable resource for long-term habitat mapping. Although the use of EO data is well developed for the automatic production of land cover (LC) maps, this is not the same for habitat maps, which are highly related to biodiversity. In a previous paper, we used the Food and Agricultural Organization (FAO) Land Cover Classification System (LCCS) environmental attributes (e.g. water quality, lithology, soil surface aspect) for LC-to-habitat class translation. However, these environmental attributes are often not openly available, not updated or are missing. This paper offers an alternative, knowledge-based solution to automatic habitat mapping. When only expert rules and EO data are used, the final overall map accuracy, which is obtained by comparing reference ground truth patches to the ones depicted in the output map, is lower (75·1%) than the accuracy obtained using environmental attributes alone (97·0%). Some ambiguities that still remain in habitat discrimination are resolved by integrating the use of LCCS environmental attributes (if available) and expert rules. In this paper, we use very high-resolution (VHR) satellite data and LIDAR data. LC classes are labelled according to the LCCS taxonomy, which offers a framework to integrate EO data with in situ and ancillary data. Output habitat classes are labelled according to the European Habitats Directive (92/43 EEC Directive) Annex I habitat types and Eunis habitat classification. Two Natura 2000 coastal wetland sites in southern Italy are considered. Synthesis and applications . In this paper, we study the exploitation of ecological rules on vegetation pattern, plant phenology and habitat geometric properties for automatic translation of land cover (LC) maps to habitat maps in coastal wetlands. The methodology is useful for relatively inaccessible sites (e.g. wetlands) as it does not require in-field campaigns (generally costly) but only the elicitation of ecological expert rules. This can support site (e.g. Natura 2000) managers in long-term automatic habitat mapping. Habitat changes can be automatically detected by comparing map pairs, and trends can be quantified. This is particularly useful to satisfy the commitments of the European Habitats Directive (92/43/EEC), which requires Member States to take measures to maintain as, or restore to, favourable conservation status those natural habitat types and species of community interest that are listed in the Annexes to the Directive. Abstract : In this paper, we study the exploitation of ecological rules on vegetation pattern, plant phenology and habitat geometric properties for automatic translation of land cover (LC) maps to habitat maps in coastal wetlands. The methodology is useful for relatively inaccessible sites (e.g. wetlands) as it does not require in-field campaigns (generally costly) but only the elicitation of ecological expert rules. This can support site (e.g. Natura 2000) managers in long-term automatic habitat mapping. Habitat changes can be automatically detected by comparing map pairs, and trends can be quantified. This is particularly useful to satisfy the commitments of the European Habitats Directive (92/43/EEC), which requires Member States to take measures to maintain as, or restore to, favourable conservation status those natural habitat types and species of community interest that are listed in the Annexes to the Directive
 
Audience Level
0
Audience Level
1
  Kids General Special  
Audience level: 0.89 (from 0.87 for Gli dèi p ... to 0.98 for I reperti ...)

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