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  <title>Unitus DSpace</title>
  <link rel="alternate" href="http://http://dspace.unitus.it:80" />
  <subtitle>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://http://dspace.unitus.it:80</id>
  <updated>2013-05-23T22:01:50Z</updated>
  <dc:date>2013-05-23T22:01:50Z</dc:date>
  <entry>
    <title>Estimating forest area at the year 1990 by two-phase sampling on historical remotely sensed imagery in Italy</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2136" />
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Fattorini, Lorenzo</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Valentini, Riccardo</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <id>http://hdl.handle.net/2067/2136</id>
    <updated>2011-06-14T00:30:56Z</updated>
    <published>2006-12-31T23:00:00Z</published>
    <summary type="text">Title: Estimating forest area at the year 1990 by two-phase sampling on historical remotely sensed imagery in Italy
Authors: Corona, Piermaria; Fattorini, Lorenzo; Chirici, Gherardo; Valentini, Riccardo; Marchetti, Marco
Abstract: Forest area in the year 1990 is a fi gure of great&#xD;
interest under the Kyoto Protocol. This note is devoted to&#xD;
a scientifi c exercise for the probabilistic ex post assessment&#xD;
of such a fi gure in Italy. Estimation was performed by twophase&#xD;
point sampling, which made use of historical remotely&#xD;
sensed imagery. In the fi rst phase, a sample of 12 089&#xD;
points was selected according to an unaligned systematic&#xD;
sampling and the selected points were classifi ed in land-use&#xD;
categories by Landsat 5 TM imagery. In the second phase,&#xD;
a sample of 3000 points was selected by stratifi ed sampling&#xD;
in which the strata were determined by the satellite classifi&#xD;
cation and the selected points were classifi ed by aerial&#xD;
photos, assumed as ground truth. A two-phase estimate of&#xD;
land-use coverage partitioning the Italian territory was&#xD;
obtained together with a conservative estimate of the&#xD;
sampling variance-covariance. The procedure has proved&#xD;
to be of relatively easy implementation and objective&#xD;
repeatability
Description: L'articolo è disponibile sul sito dell'editore http://www.springerlink.com/</summary>
    <dc:date>2006-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Cambiamenti di copertura forestale e dell’uso del suolo nell’inventario dell’uso delle terre in Italia</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2311" />
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Bertani, Remo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Valentini, Riccardo</name>
    </author>
    <id>http://hdl.handle.net/2067/2311</id>
    <updated>2012-08-06T23:05:35Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">Title: Cambiamenti di copertura forestale e dell’uso del suolo nell’inventario dell’uso delle terre in Italia
Authors: Marchetti, Marco; Bertani, Remo; Corona, Piermaria; Valentini, Riccardo
Abstract: Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy. The paper presents&#xD;
the IUTI program, a land use inventory of Italy, based on point sampling. It has been carried out to&#xD;
support the National Carbon Sink Accounting Register and it was realized within the framework of the Italian&#xD;
National Remote Sensing Plan managed by the Italian Ministry of Environment. IUTI has monitored the&#xD;
land use and land use change and forestry in the last two decades over the country at the years 1990, 2000,&#xD;
2008, adopting a tessellated stratified sampling scheme with about 1.2 million sample points on aerial orthophotos.&#xD;
Following definitions, methods and inventory procedures, the main results are discussed. They&#xD;
show the heavy changes affecting surface and distribution of the various classes for arable lands, forests and&#xD;
urban areas.
Description: L'articolo è disponibile sul sito dell'editore www.sisef.it</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Extending large-scale forest inventories to assess urban forests</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2316" />
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Agrimi, Mariagrazia</name>
    </author>
    <author>
      <name>Baffetta, Federica</name>
    </author>
    <author>
      <name>Barbati, Anna</name>
    </author>
    <author>
      <name>Chiriacò, Maria Vincenza</name>
    </author>
    <author>
      <name>Fattorini, Lorenzo</name>
    </author>
    <author>
      <name>Pompei, Enrico</name>
    </author>
    <author>
      <name>Valentini, Riccardo</name>
    </author>
    <author>
      <name>Mattioli, Walter</name>
    </author>
    <id>http://hdl.handle.net/2067/2316</id>
    <updated>2012-08-06T23:05:41Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">Title: Extending large-scale forest inventories to assess urban forests
Authors: Corona, Piermaria; Agrimi, Mariagrazia; Baffetta, Federica; Barbati, Anna; Chiriacò, Maria Vincenza; Fattorini, Lorenzo; Pompei, Enrico; Valentini, Riccardo; Mattioli, Walter
Abstract: Urban areas are continuously expanding&#xD;
today, extending their influence on an increasingly&#xD;
large proportion of woods and trees located&#xD;
in or nearby urban and urbanizing areas, the socalled&#xD;
urban forests. Although these forests have&#xD;
the potential for significantly improving the quality&#xD;
the urban environment and the well-being of&#xD;
the urban population, data to quantify the extent&#xD;
and characteristics of urban forests are still lacking&#xD;
or fragmentary on a large scale. In this regard,&#xD;
an expansion of the domain of multipurpose forest&#xD;
inventories like National Forest Inventories&#xD;
(NFIs) towards urban forests would be required.&#xD;
To this end, it would be convenient to exploit the&#xD;
same sampling scheme applied in NFIs to assess&#xD;
the basic features of urban forests. This paper considers&#xD;
approximately unbiased estimators of abundance&#xD;
and coverage of urban forests, together with&#xD;
estimators of the corresponding variances, which&#xD;
can be achieved from the first phase of most largescale&#xD;
forest inventories. A simulation study is carried&#xD;
out in order to check the performance of the&#xD;
considered estimators under various situations involving&#xD;
the spatial distribution of the urban forests&#xD;
over the study area. An application is worked out&#xD;
on the data from the Italian NFI.
Description: L'articolo è disponibile sul sito dell'editore www.springer.com</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Land use inventory as framework for environmental accounting: an application in Italy</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2346" />
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Barbati, Anna</name>
    </author>
    <author>
      <name>Tomao, Antonio</name>
    </author>
    <author>
      <name>Bertani, Remo</name>
    </author>
    <author>
      <name>Valentini, Riccardo</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Fattorini, Lorenzo</name>
    </author>
    <author>
      <name>Perugini, Lucia</name>
    </author>
    <id>http://hdl.handle.net/2067/2346</id>
    <updated>2013-03-01T00:05:45Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">Title: Land use inventory as framework for environmental accounting: an application in Italy
Authors: Corona, Piermaria; Barbati, Anna; Tomao, Antonio; Bertani, Remo; Valentini, Riccardo; Marchetti, Marco; Fattorini, Lorenzo; Perugini, Lucia
Abstract: Land use inventories are sound measures to provide information on the area&#xD;
occupied by different land use or land cover types and their changes, although&#xD;
less widespread than traditional mapping; as such, they are distinctively wellestablished&#xD;
tools for generating statistics on the state and the dynamics of land&#xD;
use in the European Union. Italy has recently set up a land use inventory system&#xD;
(IUTI) as a key instrument for accounting removals and emissions of greenhouse&#xD;
gases (GHG) associated to land use, land use change and forestry (LULUCF)&#xD;
activities elected by Italy under the Kyoto Protocol. IUTI adopts a statistical&#xD;
sampling procedure to estimate the area covered by LULUCF land use&#xD;
categories in Italy, and associated uncertainty estimates. Estimates of land use&#xD;
have been so far processed for the period 1990-2008 and highlight three interlinked&#xD;
land use change patterns in Italy: (i) increase in forest land for a total&#xD;
uptake of 1.7% of the Italian territory; forest cover estimates, with a standard&#xD;
error of 0.1%, indicate an annual increase of forestland higher over the period&#xD;
1990-2000 (32 901 ha year-1) than in 2000-2008 (22 857 ha year-1); surprisingly,&#xD;
also a significant deforestation rate is observed (-7000 ha year-1), due to&#xD;
forest land conversion mainly into artificial areas; (ii) consumption of arable&#xD;
land (-4.2% of the Italian territory) primarily due to land uptake by urban areas&#xD;
and to conversions to permanent crops (mainly orchards and vineyards); (iii)&#xD;
urban sprawl uptakes 1.6% of the Italian territory in this period, with a total&#xD;
coverage of settlements reaching 7.1% of total land surface in Italy in 2008.&#xD;
Overall, land use dynamic results in land uptake by forest land is of the same&#xD;
magnitude of land uptake by urban areas, but the effects of these processes on&#xD;
GHG removals (by forest sinks) and emissions (by urban areas) is expected to&#xD;
be significantly different. In a broader perspective, IUTI methodology, by&#xD;
providing reliable estimates and well-defined levels of statistical uncertainty&#xD;
for assessing stocks and flows of land use at national level, can be further implemented&#xD;
to frame other key questions for sustainable development policies,&#xD;
like the set up of environmental-economic accounting systems.
Description: L'articolo è disponibile sul sito dell'editore www.sisef.it</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
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