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7 results for “Vilnius”

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zenodo48/100

VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 1, Sub-region 1

<p>In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian&nbsp;territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated&nbsp;Land Cover/Land Use elements.</p> <p>The dataset is in fact a collection of drone orthomosaic images&nbsp;delivered in GeoTIFF data format, which were acquired from the drone flight missions over the first subregion of the first AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <ul> <li><strong>1st flight:</strong> 24-27/5/2021</li> <li><strong>2nd flight:</strong> 26-29/7/2021</li> <li><strong>3rd flight:</strong> 13-16/9/2021</li> <li><strong>4th flight:</strong> 25-28/8/2022</li> </ul>

opencc-by-4.0Oct 2022View details →
zenodo48/100

VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 2

<p>In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian&nbsp;territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated&nbsp;Land Cover/Land Use elements.</p> <p>The dataset is in fact a collection of drone orthomosaic images&nbsp;delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <ul> <li><strong>1st flight:</strong> 24-27/5/2021</li> <li><strong>2nd flight:</strong> 26-29/7/2021</li> <li><strong>3rd flight:</strong> 13-16/9/2021</li> <li><strong>4th flight:</strong> 25-28/8/2022</li> </ul>

opencc-by-4.0Oct 2022View details →
zenodo48/100

VHR orthomosaic imageries produced by dedicated drone flight campaigns over Lithuania (2021-2022) - Vilnius -AOI 1, Sub-region 2

<p>In the context of the EU-funded project DIONE (No. 870378), targeted drone flight campaigns were conducted in determined Areas of Interest (AOIs) in the Lithuanian&nbsp;territory as a complementary source of information to the spaceborne Earth Observation (EO) open-accessed data. Such an activity attempted to overcome the limited capabilities of EO coarse resolution data to identify small-scale features alongside the agricultural fields, such as the non-productive Ecological Focus Areas (EFAs) and overall to enhance the quality and accuracy (1m or less) of the estimated&nbsp;Land Cover/Land Use elements.</p> <p>The dataset is in fact a collection of drone orthomosaic images&nbsp;delivered in GeoTIFF data format, which were acquired from the drone flight missions over the second subregion of the first AOI located near the capital of Lithuania, (Vilnius). For each area, four flight campaigns were scheduled and conducted on the following dates:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <ul> <li><strong>1st flight:</strong> 24-27/5/2021</li> <li><strong>2nd flight:</strong> 26-29/7/2021</li> <li><strong>3rd flight:</strong> 13-16/9/2021</li> <li><strong>4th flight:</strong> 25-28/8/2022</li> </ul>

opencc-by-4.0Oct 2022View details →
zenodo44/100

Testing data from SUPER PV demo site in Vilnius (Lithuania)

<p>Sets of the data, collected with SuperPV MLPE boxes from the Lithuanian demo site during the period 2021/08/15 - 2021/08/30.&nbsp;Contain information of the PV modules parameters, as follows:</p> <p>&quot;1122334455667788&quot; - Nr.1 /&nbsp;90-degree angle (vertical);<br> &quot;FFFFFFFFFFFFFFFF&quot; - Nr.2 /&nbsp;90-degree angle (vertical);</p> <p>&quot;3333333333333333&quot; -&nbsp; Nr.3 / 45-degree angle;<br> &quot;4444444444444444&quot; -&nbsp; Nr.4&nbsp;/&nbsp;45-degree angle;</p> <p>Data files column names explanation:</p> <p>Uoc - open circuit voltage<br> Isc - short circuit current<br> Uin - voltage at maximum power point<br> Iin - current at maximum power point</p> <p>Temp - temperature<br> P - power</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Vilnius

3D model. * **Gedimino kalnas**. Coordinates: 54.68686, 25.29139. http://www.piliakalniai.lt/piliakalnis.php?piliakalnis_id=749 * **Trijų kryžių kalnas**. Coordinates: 54.68708, 25.29757. https://www.piliakalniai.lt/piliakalnis.php?piliakalnis_id=850 * **Stalo kalnas**. Coordinates: 54.68719, 25.3013. https://www.piliakalniai.lt/piliakalnis.php?piliakalnis_id=851 * **Bekešo kalnas**. Coordinates: 54.68611, 25.3. https://www.piliakalniai.lt/piliakalnis.php?piliakalnis_id=85 * **Gedimino kapas**. Coordinates: 54.68477, 25.303. https://www.piliakalniai.lt/piliakalnis.php?piliakalnis_id=750 Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2022View details →
zenodo36/100

Fig.2 in Forest Phytocenotic Changes In Impact Zone Of Municipal Vilnius County (Lithuania) Waste Landfill

Fig.2. Undergrowth density at different distances from the landfill.

opencc-by-4.0Dec 2017View details →
zenodo36/100

Fig. 1 in Forest Phytocenotic Changes In Impact Zone Of Municipal Vilnius County (Lithuania) Waste Landfill

Fig. 1. The share of healthy trees in relation with distance from the landfill.

opencc-by-4.0Dec 2017View details →

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