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16 results for “MURGIA ALTA”
Murgia Alta: land cover map (2018)
<p>A land cover map in "Murgia Alta" PA, for 2018, obtained by considering 4 multi-seasonal Sentinel-2 images. A Support Vector machine (SVM) classifier was used for a 13 classes problem. The images were atmospherically corrected.</p> <p>The map was produced at 10 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The Overall Accuracy (OA) of the map was: OA=97.37%±0.09%.</p> <p>The map has 14 values related as follows in LCCS-FAO taxonomy:</p> <p>Value 0 = Unclassified</p> <p>Value 1 = A11/A7.A9 (olive grooves)</p> <p>Value 2 = A11/A1.A7.A10 (orchards)</p> <p>Value 3 = A11/A2.A7.A10 (vineyards)</p> <p>Value 4 = A11/A3 (cultivated herbaceous)</p> <p>Value 5 = A12/A1.D1.E1 (natural broadleaved evergreen)</p> <p>Value 6 = A12/A1.D1.E2 (natural broadleaved deciduous)</p> <p>Value 7 = A12/A1.D2.E1 (natural needleleaved evergreen)</p> <p>Value 8 = A12/A2.A6 (natural grasslands)</p> <p>Value 9 = B15/A1 (artificial structures, buildings/roads)</p> <p>Value 10 = B15/A2.A6 (extraction sites)</p> <p>Value 11 = B27-B28/A1.A5 (artificial-natural water)</p> <p>Value 12 =BURNED AREAS </p> <p>Value 13 =Out of PA</p>
Murgia Alta: grassland change map (2012-2015).
<p>Murgia Alta: grassland change map (2012-2015).</p> <p>A change map for the land cover class "GRASSLAND" in "Murgia Alta" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "GRASSLAND" from COPERNICUS Service VHR layer dated 2012 and at time T2 a Sentinel-2A image dated August 7th, 2015.</p> <p>The map was produced at 20 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The map has binary values where value 1 indicates pixels changed from GRASSLAND to other whereas value 0 indicates No changed/Not considered pixels.</p> <p>The Overall Accuracy (OA) of the map was: OA=94.21%±0.10%.</p> <p>[1] Koeln, G., & Bissonnette, J. (2000). Cross-correlation analysis: Mapping landcover changes with a historic landcover database and a recent, single-date, multispectral image. Proc. 2000 ASPRS Annual Convention, Washington, D.C. (8 pp.).</p> <p>[2] C. Tarantino, M. Adamo, R. Lucas, P. Blonda. (2016). “Detection of changes in semi-natural grasslands by cross correlation analysis with Worldview-2 images and new Landsat 8 data”, <em>Remote Sensing of Environment</em>, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p>
Murgia Alta: Ailantus altissima invasive species presence map (2012)
<p>An Ailanthus altissima invasive species presence map in "Murgia Alta" PA, for 2012, obtained by a two stage algorithm [1]. The first stage considers the deciduous vegetation layer obtained by a multiclass knowledge-based classification of 4 multi-seasonal VHR Worldview-2 images. In the second stage an SVM classifier was used to detect, in a two-classes problem, the Ailanthus invasive species within the deciduous layer vegetation boundaries overimposed on 2 VHR Worldview-2 images. The Worldview-2 images were dated May 19<sup>th</sup>, 2011, October 10<sup>th</sup>, 2011, January 22th, 2012 and July 6<sup>th</sup>, 2012. The October and July images were considered in the second stage.</p> <p>The map was produced at 2 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The map has binary values where value 1 indicates Ailanthus altissima pixels whereas value 0 indicates No Ailanthus altissima.</p> <p>The Overall Accuracy (OA) of the map was: OA=97.96%±0.14%.</p> <p>[1] C. Tarantino, F. Casella, M. Adamo, R. Lucas, C. Beierkuhnlein, P. Blonda. (2018). “Ailanthus altissima mapping from multi-temporal very high resolution satellite images”, ISPRS <em>Journal of Photogrammetry and Remote Sensing</em>, 147, 90-103, <a href="https://doi.org/10.1016/j.isprsjprs.2018.11.013">https://doi.org/10.1016/j.isprsjprs.2018.11.013</a></p>
Murgia Alta: land cover map (2013)
<p>A land cover map in "Murgia Alta" PA, for 2013, obtained by considering a Landsat intra-annual time series of NDVI spectral index computed for 27 images. A Maximum Likelihood classifier was used for a 13 classes problem. The images were preprocessed, atmospherically corrected, masked for clouds and shadow clouds cover and interpolated for the gaps filling.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The Overall Accuracy (OA) of the map was: OA=83.62%±0.90%.</p> <p>The map has 14 values related as follows in LCCS-FAO taxonomy:</p> <p>Value 0 = Unclassified</p> <p>Value 1 = A12/A1.D1.E2</p> <p>Value 2 = A12/A1.D1.E1</p> <p>Value 3 = A12/A1.D2.E1</p> <p>Value 4 = A12/A2.A6</p> <p>Value 5 = A11/(A1ORA2).A7.A9</p> <p>Value 6 = A11/A1.A7.A10</p> <p>Value 7 = A11/A2.A7.A10</p> <p>Value 8 = A11/A3.A4.S3</p> <p>Value 9 = A11/A3.A4.S7</p> <p>Value 10 = A11/A3.A4.S5(LEGUMES)</p> <p>Value 11 = A11/A3.A4.S5(VEGETABLES)</p> <p>Value 12 = B15/A2.A6</p> <p>Value 13 = BURNED AREAS</p>
Murgia Alta: grassland change map (2006-2014).
<p>A change map for the land cover class "GRASSLAND" in "Murgia Alta" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "GRASSLAND" from an existing land use map dated 2006 (provided by Puglia Region) and at time T2 a Landsat 8 image dated August 10th, 2014.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The map has binary values where value 1 indicates pixels changed from GRASSLAND to other whereas value 0 indicates No changed/Not considered pixels.</p> <p>The Overall Accuracy (OA) of the map was: OA=95.70%±0.30%.</p> <p>[1] Koeln, G., & Bissonnette, J. (2000). Cross-correlation analysis: Mapping landcover changes with a historic landcover database and a recent, single-date, multispectral image. Proc. 2000 ASPRS Annual Convention, Washington, D.C. (8 pp.).</p> <p>[2] C. Tarantino, M. Adamo, R. Lucas, P. Blonda. (2016). “Detection of changes in semi-natural grasslands by cross correlation analysis with Worldview-2 images and new Landsat 8 data”, <em>Remote Sensing of Environment</em>, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p>
Ecoystem Functional Attributes of Murgia Alta from 2000-2018
<p>Ecosystem Functional Attributes(EFA) of Murgia Alta from 2000-2018. Ecosystem Functional attributes are the yearly mean, standard deviation and day of maximum of phenology of MSAVI vegetation index based on Landsat5, 7 and 8 and corrected with an Harmonic Model within a Hierachical Bayesian framework. For each EFA dimension the excepted value and the standard deviation are given. Beside EFA, the stack has also the standard deviation across the years as estimator of inter year variability</p>
COPERNICUS GRASSLAND LAYER FOR CHANGE DETECTION ON "MURGIA ALTA" - TIME T1 DATA
<p><strong>Time T1 data:</strong> Copernicus Natural Grasslands layer at 20 meters spatial resolution; year 2012; subset of the "Murgia Alta" protected area; reprojected in WGS84/UTM33.</p>
SENTINEL-2 SATELLITE IMAGE (2015, AUGUST 7) FOR CHANGE DETECTION ON "MURGIA ALTA" - TIME T2 DATA
<p><strong>Time T2 data:</strong> Sentinel-2 image, 10 bands at 20 meters spatial resolution; 2015, August 7; subset of the "Murgia Alta" protected area; projected in WGS84/UTM33; coregistered on the time T1 data.</p>
Murgia Alta: grassland change map (1990-2018).
<p>A binary change map for the land cover class "GRASSLAND" in "Murgia Alta" (Italy) PA, detected by the Cross-Correlation Analysis (CCA) [1,2] algorithm considering at time T1 the two layers "NATURAL GRASSLAND" (land cover) and "PASTURES" (land use) from CORINE LAND COVER dated 1990 and at time T2 a Sentinel-2A image dated 19 July 2018, at 10 meters spatial resolution, projected in WGS84/UTM33N. The map has binary values where value 1 indicates pixels changed from GRASSLAND to other whereas value 0 indicates No changed/Not considered pixels.</p> <p>[1] Koeln, G., & Bissonnette, J. (2000). Cross-correlation analysis: Mapping landcover changes with a historic landcover database and a recent, single-date, multispectral image. Proc. 2000 ASPRS Annual Convention, Washington, D.C. (8 pp.).</p> <p>[2] C. Tarantino, M. Adamo, R. Lucas, P. Blonda. (2016). “Detection of changes in semi-natural grasslands by cross correlation analysis with Worldview-2 images and new Landsat 8 data”, Remote Sensing of Environment, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p> <p><br> </p>
FIGURE 2 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 2. Cyphostethus tristriatus (Fabricius, 1787). Scale bar: 2 mm. Photo: I. Laterza and O. Panzarino
FIGURE 5 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 5. Tholagmus flavolineatus (Fabricius, 1798). Scale bar: 2 mm. Photo I. Laterza and O. Panzarino.
FIGURE 7 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 7. Solenosthedium bilunatum (Lefebvre, 1827). Scale bar: 2 mm. Photo I. Laterza and O. Panzarino
FIGURE 6 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 6. Ventocoris falcatus (Cyrillus, 1791). Scale bar: 2 mm. Photo I. Laterza and O. Panzarino.
FIGURE 3 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 3. Holcogaster fibulata (Germar, 1831). Scale bar: 2 mm. Photo I. Laterza and O. Panzarino.
FIGURE 1 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 1. Map of the sampling sites within the Alta Murgia National Park area.
FIGURE 4 in The first annotated checklist of Pentatomoidea (Hemiptera: Heteroptera) fauna of Alta Murgia National Park (Apulia region, Southern Italy)
FIGURE 4. Sciocoris homalonotus (Fieber, 1851). Scale bar: 2 mm. Photo I. Laterza and O. Panzarino.
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