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5 results for “Iza”
UAV observations of the NDVI, snow depth and melt out date, retreived ar the Izas Experimental Catchment in 2020 and 2021
<p>This dataset includes very high spatial resolution observations at 1 m spatial resolution observations of the snow depth, the NDVI and the melt-out date (DOY of year) acquired with an Unmanned Aerial Vehicle at a sub-alpine site in the Pyrenees, the Izas Experimental Catchment. During two snow seasons (2019-2020 and 2020-2021), 14 NDVI and 17 snow depth distributions were acquired over 48ha. From the snow depth observations the melt-out dates have been derived. Also information on the main topographic variables (elevation, aspect and slope) is included, with same spatial resolution, in this dataset.</p>
Observations of snowpack distribution and meteorological variables at the Izas Experimental Catchment (Spanish Pyrenees) from 2011 to 2017
<p>We present a climatic dataset acquired at Izas Experimental Catchment, in the Central Spanish Pyrenees, from 2011 to 2017 snow seasons. The dataset includes information on different meteorological variables acquired with an Automatic Weather Station including precipitation, air temperature, incoming and reflected short and long-wave radiation, relative humidity, wind speed and direction, atmospheric air pressure, surface temperature (snow or soil surface) and soil temperature; all of them at 10 minute intervals. Snow depth distribution was measured during 23 field campaigns using a Terrestrial Laser Scanner (TLS), and there are also available time-lapse photographs from which can be derived daily information of different variables such as the Snow Covered Area. The experimental site is located in the southern side of the Pyrenees between 2000 and 2300 m above sea level with an extension of 55 ha. The site is a good example of sub-alpine ambient of mid-latitude mountain ranges. Thus, the dataset has a great potential for understanding environmental processes from a hydrometerological or ecological perspective in which snow dynamics play a determinant role.</p>
Snow depth fractal behavior at the Izas experimental catchment from 2011 to 2017
<p>All the files included here contain the data produced for the manuscript "Inter-annual and seasonal variability of snow depth scaling behavior in a sub-alpine catchment", submitted for possible publication in Water Resources Research. The raw data used to generate the figures for the manuscript can be found below:</p> <p>Revuelto, J., Azorin-Molina, C., Alonso-González, E., Sanmiguel- Vallelado, A., Navarro-Serrano, F., Rico, I., and López- Moreno, J. I.: Observations of snowpack distribution and meteorological variables at the Izas Experimental Catchment (Spanish Pyrenees) from 2011 to 2017 [Data set], Zenodo, https://doi.org/10.5281/zenodo.848277, 2017.</p> <p>The following data files and scripts were used to produce results for the Izas experimental catchment:</p> <p>Variogram_YYYYMMDD_SD_ext.rsav: Omnidirectional variogram for snow depth map obtained from Lidar scan acquired on YYYY-MM-DD.</p> <p>Variogram_YYYYMMDD_SD_directional_ext.rsav: Directional variogram for snow depth map obtained from Lidar scan acquired on YYYY-MM-DD.</p> <p>Variogram_DEM_Izas1m_ext.rsav: Omnidirectional variogram for bare earth topography.</p> <p>Variogram_DEM_Izas1m_directional_ext.rsav: Directional variogram for bare earth topography (needs to be loaded in R, as any other .rsav file).</p> <p>VarAnalysis_Omnidirectional_Izas.R: Script used to analyze omnidirectional variograms and plot results.</p> <p>VarAnalysis_Directional_Izas.R: Script used to analyze directional variograms and plot results.</p> <p>Variogram_Omnidirectional_Izas.R: Script used to generate directional variograms and save data.</p> <p>Variogram_Directional_Izas.R: Script used to generate directional variograms and save data.</p>
Snow depth mapping with an Unmanned Aerial Vehicles in heterogeneous mountain site (Izas Catchment, Pyrenees)
<p>Recent developments in unmanned aircraft vehicles (UAV) and Structure for Motion (SfM photogrammetry or simply SfM) algorithms have proved their worth for determining snow depth distribution. This dataset presents UAV and Terrestrial Laser Scanner (TLS) snow depth obsrevations obtained in complex alpine terrain in the Pyrenees. UAV observations have been acqired with a fixed-wing UAV working in RTK mode with an RGB camera. During the 2018-19 season, seven field campaigns (13 UAV flights) were undertaken covering 0.48 km2 . Several UAV observations were obtained under different light conditions and flight block configurations (altitude and image overlaps) in the same day with the aim if evaluating UAV observations when compared ti a well-established close range remote sensing technique (TLS).</p>
Phase 1 Study Of Izalontamab Brengitecan + Adagrasib In NSCLC - The IZA-A Trial
ClinicalTrials.gov study NCT07382726. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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