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69 results for “La Palma”
La Palma Island NDVIs collection from 1984 to 2016
<p>Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of La Palma Island Protected Area (PA).</p>
La Palma Island NDWIs collection from 1984 to 2016
<p>Normalized Difference Water Index (NDWI) (signed integer file, scale factor 0.001) of La Palma Island Protected Area (PA).</p>
Dataset generated and/or analyzed in the paper "Volcanic unrest after the 2021 eruption of La Palma"
<p>Data generated and/or analyzed in the paper "Volcanic unrest after the 2021 eruption of La Palma" by Jose Fernandez, Joaquin Escayo, Juan F. Prieto, Kristy F. Tiampo, Antonio G. Camacho, and Eumenio Ancochea, submitted to Geophysical Research Letters. Also readme files are included describing the data files.</p>
Fig. 4 in Lectotipificación de los nombres descritos por J. Barbosa Rodrigues en la obra "Palmae novae Paraguayenses"
Fig. 4. – Lectotypus de Diplothemium anisitsii Barb. Rodr. (fig. A). Lectotypus de Attalea guaranitica Barb. Rodr. (fig. D). [BARBOSA RODRIGUES, 1899: tab. IV
Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain
<p><strong>Introduction</strong>: </p> <p>This repository consists of a series of topographic surfaces of the Cumbre Vieja volcano (La Palma, Spain), presented as a series of Digital Elevation Models (DEMs) obtained from multiple Pléiades stereoscopic surveys acquired from the 22<sup>nd</sup> of September 2021 until the 14<sup>th</sup> of January 2022. We also present a series of grids showing the difference of elevation between the pre-eruption surface and the co- and post-eruption surface, which reveal the lava thickness of the eruption. This was used to calculate the lava volume and effusion rate or Time Average Discharge Rate (TADR) at the time of the Pléiades surveys.</p> <p> </p> <p><strong>Data</strong>: </p> <p>1 – Pléiades stereo images: </p> <p>A pre-eruption Pléiades stereopair was collected from 2013. A total of ten stereopairs were collected between the 23<sup>th</sup> of September 2021 and 2<sup>nd</sup> of October 2021 as part of the CIEST<sup>2</sup> initiative (https://www.poleterresolide.fr/ciest-2-nouvelle-generation-2/). Four additional pairs were acquired between the 11<sup>th</sup> of December 2021 and the 14<sup>th</sup> of January 2022 as part of the Dinamis initiative (https://dinamis.data-terra.org/). However, only some of these stereopairs were acquired with sufficiently large cloud-free areas around the eruption site. The following Pléiades stereo images were processed and are presented in this repository: </p> <p> </p> <table> <tbody> <tr> <td> <p>Date </p> </td> <td> <p>Sensor </p> </td> <td> <p>IDs </p> </td> </tr> <tr> <td> <p>2013-06-30, 12h02m </p> </td> <td> <p>PHR1B </p> </td> <td> <p>5944045101 & 5944046101 </p> </td> </tr> <tr> <td> <p>2021-09-26, 11h58m </p> </td> <td> <p>PHR1B </p> </td> <td> <p>5962414101 & 5962415101 </p> </td> </tr> <tr> <td> <p>2021-10-02, 12h02m </p> </td> <td> <p>PHR1B </p> </td> <td> <p>5988066101 & 5988067101 </p> </td> </tr> <tr> <td> <p>2022-01-01, 12h02m </p> </td> <td> <p>PHR1A </p> </td> <td> <p>6122469101 & 6122470101 </p> </td> </tr> <tr> <td> <p>2022-01-14, 12h02m </p> </td> <td> <p>PHR1B </p> </td> <td> <p>6135055101 & 6135057101 </p> </td> </tr> </tbody> </table> <p>Table 1: Date, sensor and image ID of the Pléiades stereoimages used in this repository. </p> <p> </p> <p>2 – Lidar pre-eruption surface: </p> <p>A lidar survey acquired in 2016 by the Spanish Mapping Agency (IGN, Spain) was downloaded through the portal: <a href="http://centrodedescargas.cnig.es/CentroDescargas/catalogo.do?Serie=LIDAR">http://centrodedescargas.cnig.es/CentroDescargas/catalogo.do?Serie=LIDAR</a>#. Specifically, we used the Digital Surface Model (DSM) product, available in 2x2 m Ground Sampling Distance (GSD). This means that trees and human structures were removed based using classification of the multiple returns of the lidar pulses. The coordinate reference system is REGCAN (UTM zone 28N, EPSG: 32628), and the heights are orthometric, using the height reference system REDNAP, built upon the geoid EGM08. Using the REDNAP geoid model, we converted the heights to meters above ellipsoid (WGS84), since the Pléiades data is acquired with satellite attitudes referred to the ellipsoid WGS84. </p> <p> </p> <p><strong>Methods</strong>:</p> <p>The Pléiades stereoimages were processed using the Ames StereoPipeline (ASP, Shean et al., 2016, see ASP branch in repository), yielding a DEM in 2x2m GSD and an orthoimage in 0.5x0.5m GSD. The processing was done using as only input the stereoimages and their orientation information, as Rational Polynomial Coefficients (RPCs). The <em>parallel_stereo </em>routine performs all the steps needed in the correlation of the stereoimages, yielding a pointcloud which is then interpolated using the routine <em>point2dem</em>. Besides default parameters, the <em>parallel_stereo</em> parameters used for creation of the DEMs were the standard parameters, plus the following ones: </p> <p><em>--corr-tile-size 2048 --sgm-collar-size 256 --corr-seed-mode 3 --corr-max-levels 2 --corr-timeout 900 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15</em></p> <p>Once the DEM was created, DEM co-registration was applying in order to align and minimize positional biases between the pre-eruption DEM and the Pléiades DEMs. We followed the co-registration method of Nuth & Kääb (2011), implemented by David Shean’s co-registration routines (<a href="https://github.com/dshean/demcoreg">https://github.com/dshean/demcoreg</a>, Shean et al., 2016). The co-registration involved a horizontal and vertical shift of the Pléiades DEMs, as well as a planar tilt correction. The horizontal offset obtained from the DEM co-registration was also applied to the Pléiades orthoimages.</p> <p>Lava outlines were manually digitized from the co-registered Pléiades orthoimages, excluding kipukas and major building constructions which were not covered by the lavas. The lava outlines are available as GeoPackages in the “GPKG” branch of the repository.</p> <p>Lava volume calculations were done using the average lava thickness, multiplied by the area covered by the lavas. The uncertainty in volume was assumed to be the Normalized Mean Absolute Deviation (NMAD, Höhle and Höhle, 2009), multiplied by the lava area. The TADR was calculated as the total volume divided by the time, in seconds, between the start of the eruption, defined as 2021-09-19 11:58:00 local time, and the acquisition of the Pléiades images. For the total TADR, we used the volume extracted from the Pléiades images from the 1<sup>st</sup> of January 2022, divided by the observed time of beginning and end of the eruption, defined as 2021-12-13 22:21:00, local time. The TADR values shown in this repository do not account for submarine lavas nor tephra deposits.</p> <p>In addition, another set of DEMs were produced automatically as soon as the images were made available by the on-demand processing service DSM-OPT provided by <a href="mailto:ForM@Ter">ForM@Ter</a> (https://en.poleterresolide.fr/on-demand-processing/#/mns). This processing is based on Micmac (D. Michéa and J.-P. Malet / EOST; E. Pointal, IPGP, Rupnik, 2017). The DEMs produced correspond to the file created automatically “A2_dsm_denoised.tif”. They were obtained in 1x1 m GSD, and they were cropped over the area of interest. These DEMs have not been co-registered. These data are available in the “MM” branch in the repository. </p> <p> </p> <p><strong>Results: Lava area, volumes and effusion rate:</strong> </p> <p> </p> <table> <tbody> <tr> <td> <p>Date </p> </td> <td> <p>Lava Area (km2) </p> </td> <td> <p>Lava thickness (m) </p> </td> <td> <p>Lava volume (10e+6 m3) </p> </td> <td> <p>TADR </p> <p>(m3 s-1) </p> </td> </tr> <tr> <td> <p>2021-09-26, 11h58m </p> </td> <td> <p>2.6 </p> </td> <td> <p>11.4±1.1 </p> </td> <td> <p>29.8±2.8 </p> </td> <td> <p>49.2±4.7 </p> </td> </tr> <tr> <td> <p>2021-10-02, 12h02m </p> </td> <td> <p>4.3 </p> </td> <td> <p>10.0±1.4 </p> </td> <td> <p>43.0±6.1 </p> </td> <td> <p>38.2±5.4 </p> </td> </tr> <tr> <td> <p>2022-01-01, 12h02m </p> </td> <td> <p>12.25 </p> </td> <td> <p>16.6±1.1 </p> </td> <td> <p>203.3±13.9 </p> </td> <td> <p>27.5±1.9 </p> </td> </tr> </tbody> </table> <p>Table 2: results of lava area, thickness, lava volume and TADR since the start of the eruption. </p> <p> </p> <p><strong>Repository structure:</strong></p> <p>zenodo_lapalma/<br> ├── ASP<br> │ ├── 20130630_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> │ ├── 20210926_1158_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> │ ├── 20210926_1158_lapalma_PL_2x2m_UTM28N_thickness.tif<br> │ ├── 20211002_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> │ ├── 20211002_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> │ ├── 20220101_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> │ ├── 20220101_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> │ ├── 20220114_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> │ └── 20220114_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> ├── GPKG<br> │ ├── 20210925_1202_lapalma_PL_UTM28N_outline.gpkg<br> │ ├── 20211002_1202_lapalma_PL_UTM28N_outline.gpkg<br> │ └── 20220101_1202_lapalma_PL_UTM28N_outline.gpkg<br> └── MM<br> ├── 20130630_1202_PL_1x1m_UTM28N_MM_DEM.tif<br> ├── 20210926_1158_PL_1x1m_UTM28N_MM_DEM.tif<br> ├── 20211002_1230_PL_1x1m_UTM28N_MM_DEM.tif<br> ├── 20220101_1202_PL_1x1m_UTM28N_MM_DEM.tif<br> └── 20220114_1202_PL_1x1m_UTM28N_MM_DEM.tif</p> <p> </p> <p><strong>Acknowledgements</strong>: </p> <p>Pléiades images were provided under the CIEST² initiative (CIEST2 is part of ForM@Ter (<a href="https://en.poleterresolide.fr/">https://en.poleterresolide.fr/</a> ) and supported by ISDeform National Service of Observation) for the reference image acquired in 2013 and from the 23<sup>rd</sup> of September to the 2<sup>nd</sup> of October 2021, and through the Dinamis program (CNES, France) from the 12<sup>th</sup> of December 2021 to the 14<sup>th</sup> of January 2022 (image Pléiades©CNES2013,©CNES2021,©CNES2022, distribution AIRBUS DS) </p> <p> </p> <p><strong>Dataset Attribution</strong> </p> <p>This dataset is licensed under a <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons CC BY-NC 4.0 International License</a> (Attribution-NonCommercial).<br> Attribution required for copies and derivative works:</p> <p>The underlying dataset from which this work has been derived includes Pleiades material ©CNES (2013,2021,2022), distributed by AIRBUS DS, and data provided by the Spanish Mapping Agency (IGN, Spain), all rights reserved.</p> <p> </p> <p><strong>Dataset Citation</strong> </p> <p>Belart and Pinel (2022). “Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain”. Dataset distributed on Zenodo: 10.5281/zenodo.5833771</p> <p> </p> <p><strong>References:</strong> </p> <p>Höhle, J. and Höhle, M.: Accuracy assessment of digital elevation models by means of robust statistical methods, ISPRS J. Photogramm. Remote Sens., 64, 398–406, https://doi.org/10.1016/j.isprsjprs.2009.02.003, 2009.</p> <p>Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation datasets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011.</p> <p>Rupnik, E., Daakir, M., & Deseilligny, M. P.: MicMac – a free, open-source solution for photogrammetry. Open Geospatial Data, Software and Standards, 2(1), 1-9, 2017.</p> <p>Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., and Morin, P.: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, ISPRS J. Photogramm. Remote Sens., 116, 101–117, https://doi.org/10.1016/j.isprsjprs.2016.03.012, 2016. </p>
Canary Islands La Palma: pinar canario change map (2003-2015)
<p>A change map for the land cover class "PINAR CANARIO" in "La Palma" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "PINAR CANARIO" from an existing land cover map dated 2003 and at time T2 a Landsat 8 image dated July 8th, 2015.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates pixels changed from PINAR CANARIO 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>
Canary Islands La Palma: cloud cover map (2015)
<p>A multi-temporal cloud cover map related to 10 Landsat 8 images in "La Palma" PA from August to December 2015.</p> <p>The 10 layers were related to the following dates: August 9<sup>th</sup>, August 25<sup>th</sup>, September 10<sup>th</sup>, September 26<sup>th</sup>, October 12<sup>nd</sup>, October 28<sup>th</sup>, November 13rd, November 29<sup>th</sup>, December 15<sup>th</sup>, December 31<sup>st</sup>.</p> <p>The maps was produced at 30 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates cloud cover pixels whereas value 0 indicates No cloud cover pixels.</p>
Canary Islands La Palma: pinar disperso change map (2003-2015)
<p>A change map for the land cover class "PINAR DISPERSO" in "La Palma" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "PINAR DISPERSO" from an existing land cover map dated 2003 and at time T2 a Landsat 8 image dated July 8th, 2015.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates pixels changed from PINAR DISPERSO 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>
Canary Islands La Palma: cloudiness timely presence (2016)
<p>A map representing the cloudiness timely presence on "La Palma" PA from December 2015 to April 2016.</p> <p>The map has 10 values related as follows:</p> <p>Value 1 = presence of cloudiness in 1 scene</p> <p>Value 2 = presence of cloudiness in 2 scene</p> <p>Value 3 = presence of cloudiness in 3 scene</p> <p>Value 4 = presence of cloudiness in 4 scene</p> <p>Value 5 = presence of cloudiness in 5 scene</p> <p>the higher values correspond to higher cloudiness timely presence.</p> <p>The map was produced from Sentinel-2A at 60 meters spatial resolution and projected in WGS84/UTM28N.</p>
Canary Islands La Palma: improductivo change map (2003-2015)
<p>A change map for the land cover class "IMPRODUCTIVO" in "La Palma" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "IMPRODUCTIVO" from an existing land cover map dated 2003 and at time T2 a Landsat 8 image dated July 8th, 2015.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates pixels changed from IMPRODUCTIVO 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>
Canary Islands La Palma: cloud cover map (2016)
<p>A multi-temporal cloud cover map related to 5 Sentinel-2A images in "La Palma" PA from December 2015to April 2016.</p> <p>The 5 layers representing the cloud cover (as OR among different temporal and spatial acquisitions in each month) were related to the following dates: December 2015, January 2016, February 2016, March 2016 and April 2016 .</p> <p>The maps was produced at 60 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates cloud cover pixels whereas value 0 indicates No cloud cover pixels.</p>
Canary Islands La Palma: cultivo change map (2003-2015)
<p>A change map for the land cover class "CULTIVO" in "La Palma" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "CULTIVO" from an existing land cover map dated 2003 and at time T2 a Landsat 8 image dated July 8th, 2015.</p> <p>The map was produced at 30 meters spatial resolution and projected in WGS84/UTM28N.</p> <p>The map has binary values where value 1 indicates pixels changed from CULTIVO 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”, <em>Remote Sensing of Environment</em>, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p>
Canary Islands La Palma: cloudiness timely presence (2015)
<p>A map representing the cloudiness timely presence on "La Palma" PA from August to December 2015.</p> <p>The map has 10 values related as follows:</p> <p>Value 1 = presence of cloudiness in 1 scene</p> <p>Value 2 = presence of cloudiness in 2 scene</p> <p>Value 3 = presence of cloudiness in 3 scene</p> <p>Value 4 = presence of cloudiness in 4 scene</p> <p>Value 5 = presence of cloudiness in 5 scene</p> <p>Value 6 = presence of cloudiness in 6 scene</p> <p>Value 7 = presence of cloudiness in 7 scene</p> <p>Value 8 = presence of cloudiness in 8 scene</p> <p>Value 9 = presence of cloudiness in 9 scene</p> <p>Value 10 = presence of cloudiness in 10 scene</p> <p>the higher values correspond to higher cloudiness timely presence.</p> <p>The map was produced from Landsat 8 at 30 meters spatial resolution and projected in WGS84/UTM28N.</p>
Landscape and biodiversity indicators for La Palma - Canary Island
<p>Landscape and biodiversity indicators have been identified as crucial for detecting changes in the Land Cover/Habitat map target classes and evaluating threats and intense impacts on certain areas of a site. This analysis is useful to prevent future ecosystem degradation, update the preservation strategies or take immediate mitigation actions.</p> <p>Regarding La Palma – Canary Island, Landscape and biodiversity indicators were generated for 2007. The Land Cover/Habitat map and Object-ID raster files were used as input to estimate the indicators. The outputs include a raster file of each indicator and a file “indValues.csv” containing the values of indicators per object.</p> <p>The calculated indicators are: (i) PLAND; (ii) PD; (iii) SHAPE_MN; (iv) CA; (v) MPS; (vi) MESH; (vii) AWMPFD. Indicator files are accompanied by INSPIRE metadata XML. Detailed information can be found in the “Readme.pdf” included in the zip containing the dataset.</p>
Linked collectors and determiners for: Colección de Microorganismos Entomopatógenos Asociados a la Palma de Aceite.
Natural history specimen data linked to collectors and determiners held within, "Colección de Microorganismos Entomopatógenos Asociados a la Palma de Aceite". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3a8ac5a8-40c9-49cf-b0da-82aa18c5c4d2">https://bionomia.net/dataset/3a8ac5a8-40c9-49cf-b0da-82aa18c5c4d2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3a8ac5a8-40c9-49cf-b0da-82aa18c5c4d2">https://gbif.org/dataset/3a8ac5a8-40c9-49cf-b0da-82aa18c5c4d2</a>. Formatted as a Frictionless Data package.
LiDAR Segmentation Benchmark Dataset: La Palma
<p>The purpose of this benchmark dataset is primarily to allow the assessment of individual tree segmentation algorithms on LiDAR data. The high density ULS point cloud data were captured by the Zenmuse L1 sensor on a DJI Matrice 300RTK over a coniferous plot on La Palma (Canary Islands, Spain). The dataset comprises the CHM and the normalized 3D cloud, as well as the fully annotated data to serve as a benchmark for segmentation.</p> <p>The publication associated with this database is:</p> <p>Marcello, J.; Spínola, M.; Albors, L.; Marqués, F.; Rodríguez-Esparragón, D.; Eugenio, F. Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data. <em>Drones</em> <strong>2024</strong>, <em>8</em>, 772. https://doi.org/10.3390/drones8120772</p>
Teleseisms recorded by Red Sísmica Canaria (C7) in the island of La Palma from 2017 to 2021
<p>This repository contains raw teleseismic data recorded by five broadband seismic stations belonging to Red Sísmica Canaria (C7) operated by Instituto Volcanológico de Canarias (INVOLCAN). We selected teleseismic events with an epicentral distance between 30° and 90° from the island of La Palma, and magnitudes higher than 5.5 (Mw). The catalogue consists of 509 teleseismic events from October 2017 to September 2021.</p>
Drone survey, time-lapse camera, and satellite SAR data covering the 2021 summit craters and late fractures at Tajogaite volcano, Cumbre Vieja, La Palma
<p>A new eruption started on 19 September 2021 at the Tajogaite volcano, which is at the western flank of the Cumbre Vieja, just 1•5km to the north of the vents of the 1949 eruption, and terminated after 85 days on 13 December 2021. The location of the 2021 eruption at the Cumbre Vieja was not foreseen, although a diffuse unrest was identified years before already. At the location of the eruption, the slope of the edifice was gentle, but a number of older vents, mostly open to the west, were evident. Here we present field and satellite data showing (a) the development of the craters at the summit of the evolving Tajogaite volcano, and (b) the formation of a pronounced structural trend interpreted to be related to tensile faulting during the late stage of the eruption.</p> <p>Data contains:</p> <ol> <li>Drone data acquired by DJI drones (Phantom RTK and Mavic2) during two periods showing the summit craters and the tensile fracture set in detail.</li> <li>Time-lapse camera records from the east and the north-northeast showing eruption and morphology changes.</li> <li>Satellite radar amplitude data acquired in three different geometries (2 ascending and 1 descending track) of the Cosmo Skymed Satellite constellation</li> </ol> <p>Use data without restriction but cite our work; for details on acquisition geometries and maps refer to the papers published by:</p> <ul> <li>Walter, T.R.; Zorn, E.Z.; Gonzalez, P.J.; Sansosti, E.; Munoz, V.; Shevchenko, A.V.; Plank, S.; Reale, D.; Richter, N. (in press) Late complex tensile fracturing interacts with topography at Cumbre Vieja, La Palma, VOLCANICA 5(2): 300–316. https://doi.org/10.30909/vol.05.02.300</li> <li>Muñoz, V.; Walter, T.R.; Zorn, E.U.; Shevchenko, A.V.; González, P.J.; Reale, D.; Sansosti, E. Satellite Radar and Camera Time Series Reveal Transition from Aligned to Distributed Crater Arrangement during the 2021 Eruption of Cumbre Vieja, La Palma (Spain). Remote Sens. 2022, 14, 6168. https://doi.org/10.3390/rs14236168</li> </ul> <p> </p>
Milky Way Arch over La Palma
<p>Winner in the 2022 IAU OAE Astrophotography Contest, category Still images of celestial patterns.</p> <p> </p> <p>This image, which shows the majestic band of the Milky Way and a range of culturally significant patterns, was taken in May 2022 at a very high altitude from the Roque de los Muchachos Observatory in La Palma, from which one can see the clouds below. Some prominent star patterns include Scorpius, Sagittarius, Lyra, Cygnus, Aquila, the Summer Triangle asterism, and the Teapot asterism.</p> <p>As the Canary Islands used to be a starting point for European sailors to explore the world, we use this place to point to the many indigenous cultures they encountered. Most notably it is the dark patterns within the band of the Milky Way that hold significance for many Indigenous cultures around the world. The dark patterns are in fact dense, cool clouds of gas and dust that block the light from stars. Indigenous people see caves, waterways and various patterns associated with the dark regions of the Milky Way.</p> <p>The constellations and patterns hold different cultural significance and interpretations for different people. For example, the constellation Scorpius is referred to by Polynesian people as the demigod Maui’s Fishhook. The Yolnu people of Arnhem Land associate Scorpius with a crocodile called Ingalpir. Some Indigenous Australian groups associate stories with individual stars within Scorpius, most notably Antares, the orange-red star in the top right of the image above the band of the Milky Way. Next to the Scorpion and above the bright centre of the Milky Way, there is a prominent dark cloud that is called the Pipe Nebula by modern astrophotographers. The smoke of this pipe goes up to rho Ophiuchi. This and all the other dark clouds in the Milky Way together form the backbone of heaven for some tribes, and an animal with black-and-white skin for South African Zulu people.</p> <p><br> The nomenclature of bright stars also has cross-cultural roots. For example, Vega (the bright blue star towards the top of the image) comes from the Arabic waqi, from al-nasr al-waqi, the Eagle who throws himself down (in order to hunt). This contrasts with the Flying Eagle, Altair, also derived from Arabic. Antares is a Greek word meaning “the one similar to Mars”, referring to its colour. The star name Shaula in the stinger of the Scorpion is a modern version of the Babylonian or even Sumerian star name.</p> <p>Credit: Amirreza Kamkar/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
Insights into the Magmatic Feeding System of the 2021 Eruption at Cumbre Vieja (La Palma, Canary Islands) Inferred from Gravity Data Modeling. Remote Sens. 2023, 15, 1936. https://doi.org/10.3390/rs15071936
<p>Paper: Insights into the magmatic feeding system of the 2021 eruption at Cumbre Vieja (La Palma, Canary Islands) inferred from gravity data modeling <br> F. G. Montesinos1,7, S. Sainz-Maza2,7, D. Gómez-Ortiz3, J. Arnoso4,7, I. Blanco-Montenegro5,7, M. Benavent1,7 E. Vélez4,7, N. Sánchez6 and T. Martín-Crespo3</p> <p>1 Facultad de CC. Matemáticas, Universidad Complutense de Madrid. Plaza de Ciencias 3, 28040 Madrid, Spain.<br> 2 Observatorio Geofísico Central (IGN). C/ Alfonso XII, 3. 28014 Madrid, Spain.<br> 3 Dpt. Biología y Geología, Física y Química Inorgánica, ESCET, Universidad Rey Juan Carlos. C/Tulipán s/n, 28933 Móstoles, Madrid, Spain.<br> 4 Instituto de Geociencias (IGEO), CSIC-UCM. C/ Doctor Severo Ochoa, 7. 28040 Madrid, Spain.<br> 5 Departamento de Física, Escuela Politécnica Superior, Universidad de Burgos. Avda. de Cantabria s/n, 09006 Burgos, Spain.<br> 6 Instituto Geológico y Minero de España (IGME, CSIC), Unidad Territorial de Canarias, Alonso Alvarado, 43, 2A, 35003 Las Palmas de Gran Canaria, Spain.<br> 7 Research Group ‘Geodesia’, Universidad Complutense de Madrid, Spain.</p> <p><br> Corresponding author: Fuensanta G. Montesinos (fuensant@ucm.es)</p> <p>This research is supported by the project PID2019-104726GB-I00/AEI/10.13039/501100011033 funded by the Spanish Research Agency. Further, the University Complutense of Madrid (grants Financiación Grupos 2021, UCM 2022-GRFN14/22) and the Spanish Ministry of Science and Innovation (RD 1078/2021, funding for research activities of the CSIC-PIE project CSIC-LAPALMA-07) supported this research.</p> <p>------------------------------------------------------------------------------------------------</p> <p>Responsible Researchers:<br> - Fuensanta González Montesinos, Facultad de CC. Matemáticas, Universidad Complutense de Madrid. Spain<br> fuensant@ucm.esResponsible Researchers: </p> <p>- José Arnoso Sampedro, Instituto de Geociencias (CSIC-UCM), Spain<br> jose_arnoso@csic.es</p> <p> </p> <p><br> >> The use of this data set is limited to academic or research purposes and it have to be referenced</p> <p><br> Zone:Cumbre Vieja (La Palma Island, Spain)<br> Geodetic Coordinates Datum WGS84<br> Gravity(mGal) and Bouguer Gravity anomaly GRS80 (mGal)(Terrain density 2450 kg/m3)</p> <p>The file GravityCumbreVieja_FGMontesinos_et_al.dat includes the values of gravity and complete Bouguer gravity anomaly (GRS80) calculated for the land gravity stations at the Cumbre Vieja area (La Palma Island, Spain). The gravity values were observed in 142 land gravity stations (Figure 3 in the manuscript) by our group in 2005 and 2021 surveys The positions of the stations were selected to cover most of the Cumbre Vieja area, and the coordinates were obtained by differential GPS (WGS84 Datum). The gravity observations were processed taking into account the usual corrections (instrument height, drift, jumps, etc.). The tidal correction was calculated from gravity tide measurements made in several islands of the Canary Archipelago. All the gravity values referred to absolute gravity stations (Table S1). The procedure to obtain the terrain correction and the Bouguer anomaly map is explained in the manuscript and in the supporting information.</p>
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Allen Brain Atlas
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