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227 results for “Landslides”
Hydrogeological data of groundwater and precipitation monitored in the Vögelsberg landslide catchment
<p>Data contains hydrogeological data of precipitation and groundwater within the catchment of the Vögelsberg landslide (Tyrol, Austria) monitored between 2017-11-22 and 2021-07-05. The dataset provides time series of discharge, temperature, electrical conductivity and stable isotope ratios in groundwater and precipitation. Dataset is associated to following preprint: “Pfeiffer, J.; Zieher, T.; Schmieder, J.; Bogaard, T.; Rutzinger, M. and Spötl, C. (2021) Spatial assessment of probable recharge areas - Investigating the hydrogeological controls of an active deep-seated gravitational slope deformation, Natural Hazards and Earth System Sciences Discussions, Vol. 2021, p. 1-29, <a href="https://doi.org/10.5194/nhess-2021-388">https://doi.org/10.5194/nhess-2021-388</a>”. Accompanying readme file gives a detailed description of data fields contained in the published data.</p>
FraneItalia: a catalog of recent Italian landslides
<p><strong>FraneItalia</strong> is a geo-referenced catalog of recent landslides affecting the Italian territory. The catalog has been <strong>developed consulting online news sources from 2010 </strong><strong>onward</strong> and it includes both fatal landslide events and events that did not produce physical harm to people. Landslide events are classified considering two numerosity categories and three consequence categories.</p> <p>NUMEROSITY CATEGORIES</p> <ul> <li><strong>Single Landslide Events</strong> (<strong>SLE</strong>), for records only reporting one landslide;</li> <li><strong>Areal Landslide Events</strong> (<strong>ALE</strong>), for records referring to multiple landslides triggered by the same cause in the same geographic area.</li> </ul> <p>Note: the ALE category has been introduced to simplify collection of the landslide records for the numerous cases when many landslides are mentioned together in the news.</p> <p>CONSEQUENCE CATEGORIES</p> <ul> <li><strong>Very severe consequences</strong> (<strong>C1</strong>), for events with victims and/or missing people;</li> <li><strong>Severe consequences</strong> (<strong>C2</strong>), for events with injured persons and/or evacuations;</li> <li><strong>Minor consequences</strong> (<strong>C3</strong>), for events that did not cause physical harm to people.</li> </ul> <p>Note: the consequence classification is based on the severity of the effects to human life not considering other consequence measures (e.g., economic loss, environmental damage)</p> <p>INFORMATION on each recorded landslide event includes:</p> <ul> <li>data on the location of the event [compulsory entries]</li> <li>day of occurrence of the landslide(s) [compulsory entry]</li> <li>duration of the landslide event [if applicable]</li> <li>number of landslides for ALE [compulsory entry]</li> <li>classes of accuracy of the spatial and temporal data [compulsory entries]</li> <li>source(s) of information [compulsory entries]</li> <li>landslide characteristics [optional entries]</li> <li>phase of activity [optional entry]</li> <li>details on the consequences [optional entries]</li> </ul>
Landslide Removal Experiment vegetation cover and pole touches
The purpose of this data set is to document recovery of vegetation in removal plots in landslides in the Luquillo Experimental Forest (LEF.) Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Revegetation of landslides, vegetation <0.1m (Small landslide plots at the Luquillo Experimental Forest)
The purpose of this study is to document the recovery of vegetation on new landslides in the Luquillo Experimental Forest, in particular seedlings less then 1m tall. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Soil factors predict initial plant colonization on Puerto Rican landslides
Tropical storms are the principal cause of landslides in montane rainforests, such as the Luquillo Experimental Forest (LEF) of Puerto Rico . A storm in 2003 caused 30 new landslides in the LEF that we used to examine prior hypotheses that slope stability and organically enriched soils are prerequisites for plant colonization. We measured slope stability and litterfall in 1 m2 plots 8-13 months following landslide formation. At 13 months we also measured microtopography, soil characteristics (organic matter, particle size, total nitrogen, and water holding capacity), elevation, distance to forest edge, and canopy cover, as well as plant aboveground biomass, plant cover, and root biomass. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Revegetation of landslides, vegetation > 1.0m (Large landslide plots at the Luquillo Experimental Forest)
Here we use permanent plot data sampled from 16 landslide to documents temporal successional pathways in landslide patches (without the use of a chronosequence, cf. Guariguata 1990) and address the following questions: (1) What are the successional pathways of landslide and what species define them? How much pathway variation of individual plots is there within these landslides? (2) How similar are pathways among landslide? Is there any evidence that, with time, landslides either converge to a common vegetative enpoint or slow in the rate of successional change? The purpose of this study is to document the recovery of vegetation on new landslides in the Luquillo Experimental Forest. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Landslide Revegetation Canopy Measurements & Cover Estimates
The purpose of this data set is to document recovery of vegetation in new landslides in the Luquillo Experimental Forest (LEF) Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Above ground biomass in the Espiritu Santo landslide nearby the El Verde Field Station (ES-1)
To establish the dry mass of several species that grow on landslides. To make regressions of biomass against height and basal diameter. This way one can estimate biomass on permanent plots where one cannot harvest the plants. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Soil sample from landslide ES1 (Espiritu Santo El Verde), ES2, and RB2 (Rio Blanco)
Analysis of soil nutrients in top 9 cm of soil in Landslide Revegetation Plots. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Landslide Formation Factors Analysis for the Transcarpathia_Ukraine
<p>Spatial patterns of landslides occurrence within the Transcarpathian region using GIS tools were evaluated. In order to identify the main and derived geological factors that determine the spread and activation of landslides within the region, 2575 landslides were analyzed, with a total area of 360,576 km square. The factors were represented by clams constructed in ArcView Spatial Analyst: terrain and its derivatives (slope angles, spatial orientation of the slopes, dispersion (mean deviation) of the terrain, the trend of the terrain and its local component); density of structural-tectonic heterogeneities. It is established that the maximum of landslides development is at altitudes with gypsometric marks of 280-730 m, slopes with a slope of 7.5-22.4 °, which are oriented to the west, southwest, south and southeast and up to 500 m to watercourses. Two-thirds of all landslides investigated are within a kilometer zone along structural-tectonic disturbances and at distances of up to 1250 m of disturbances having an azimuth of 90-180°. The applied approach, for the first time made it possible to establish patterns of landslides occurrence based on the results of a large array of initial cartographic information processing (not limited by certain a priori genetic and/or theoretical interpretations) and obtain reliable limit values for characterizing landslides formation. As a result, based on mapping of areas with characteristic values of established six landslide formation factors, a landslides forecasting map was received.</p>
Landslides from Space - Kumamoto Earthquake-triggered landslide, Japan (15th April 2016)
<p>The April 2016 Kumamoto earthquake in Japan triggered a huge landslide. This landslide appeared close to the village Tateno (Minamiaso, Aso District) and burried a railway line, a highway and destroyed a bridge.</p> <p>The pre-event acquisition is from 3rd March 2016 (Sentinel-2) and the post-event acquisition is from 25th May 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Chitan Landslide, China (7th May 2016)
<p>Workers employed for a hydropower project in Fujian province had their dormitories close to the river. On 7th May 2016, a landslide was triggered through heavy rainfall. More than 40 construction workers died in this event.</p> <p>The pre-event acquisition is from 7th February 2016 (Sentinel-2) and the post-event acquisition is from 26th July 2016 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Val Strem Rockslide, Switzerland (14th March 2016)
<p>In the night of 14th of March 2016 a large rockslide appeared in the Swiss Alps. It run down the valley for more than one kilometre and stopped about 800 metres ahead of the village Sedrun/Tavetsch.</p> <p>The pre-event acquisition is from 29th August 2015 (Sentinel-2) and the post-event acquisition is from 5th May 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2015-2016)</em></p>
Landslides from Space - Hpakan Jade Mine Landslides, Myanmar (January 2016)
<p>Between November 2015 and January 2016 multiple landslide occurred in the Hpakan Jade Mine. In total more than 200 people died in these human made accidents.</p> <p>The pre-event acquisition is from 23rd November 2015 (Sentinel-2) and the post-event acquisition is from 22 March 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2015-2016)</em></p>
Landslides from Space - Tonzang Landslide, Myanmar (July 2015)
<p>In July 2015 the Tropical Storm Komen crossed Myanmar. Heavy rainfall triggered multiple landslides in western Myanmar. The biggest one was close to Tonzang and had a dimension of approx. 1x5km.</p> <p>The pre-event acquisition is from 8th November 2014 (EO-1) and the post-event acquisition is from 5th January 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Elk City, Idaho USA (18th February 2016)
<p>On 18th February 2016 an instable hillside collapsed and burried the State Highway 14 on a length of about 150 metres. Through this landslide residents of the remote village Elk City were trapped and the power supply was cut off.</p> <p>The pre-event acquisition is from 22nd September 2015 (Sentinel-2) and the post-event acquisition is from 28th June 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2015-2016)</em></p> <p> </p> <p> </p> <p> </p>
Landslides from Space - Bento Rodrigues Dam Failure, Brazil (5th November 2015)
<p>On 5th November 2015, an iron ore tailings dam in Bento Rodrigues suffered a failure. About 60 million cubic meter of iron waste flowed down the valley. Two villages were partly destroyed and the drinking water supply of a few hundred thousand people were effected. The river Doce will be affected by this disaster for many decades.</p> <p>The pre-event acquisition is from 5th November 2015 (Landsat-8) and the post-event acquisition is from 26th December 2015 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel and Landsat data (2015) </em></p>
Landslides from Space - Shenzhen Construction Waste Landslide, China (20th December 2015)
<p>On 20th December 2015 a construction waste deposit in Shenzhen failed and slid down the hill. It partially destroyed and buried an industrial building and worker living area. More than 70 people died in this industrial disaster.</p> <p>The pre-event acquisition is from 22nd November 2015 (Sentinel-2) and the post-event acquisition is from 6th January 2016 (Landsat-8).<br> <br> <em>Contains modified Copernicus Sentinel and Landsat data (2015-2016) </em></p>
Landslides from Space - Amyntaio Lignite Coal Mine Landslide (10th June 2017)
<p>On Saturday, 10th of June 2017 a massive landslide occurred in a lignite pit in Amyntaio, Greece. It buried 25 million tons lignite worth about 500 Million Euro and caused the permanent evacuation of Anargyroi, a village nearby.</p> <p><br> The pre-event acquisition is from 1st June 2017 (Sentinel-2) and the post-event acquisition is from 24th June 2017 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br> <br> <em>Contains modified Copernicus Sentinel data (2017)</em></p>
Landslides from Space - Nuugaatsiaq: landslide-induced tsunami, Greenland (17th June 2017)
<p>On 17th June 2017 the village of Nuugaatsiaq was struck by a large, isolated tsunami. This Tsunami was caused by a landslide on a nearby cliff.<br> <br> The pre-event acquisition is from 2nd June 2017 (Sentinel-2) and the post-event acquisition is from 19th June 2017 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br> <br> <em>Contains modified Copernicus Sentinel data (2017)</em></p>
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