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  • 1
    Publication Date: 2021-08-03
    Description: Abstract
    Description: SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations. It supports the following essential steps of change detection: a) exploration and selection of optical satellite images to recognize proper data for the current application scenario, b) automated extraction of changes from the optical satellite images, c) analysis of errors and d) assessment and interpretation of the extracted changes.
    Description: TechnicalInfo
    Description: License: GNU General Public License, Version 3, 29 June 2007 Copyright © 2020 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany SEVA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. SEVA is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
    Keywords: remote sensing ; satellite data ; visualilsation ; change detection ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 GEOGRAPHIC INFORMATION SYSTEMS 〉 WEB-BASED GEOGRAPHIC INFORMATION SYSTEMS
    Type: Software , Software
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  • 2
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Integrated water vapor (IWV)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 80% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 85% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 5
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Integrated water vapor (IWV)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 6
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Wind profiles from March 2018 - MArch 2019 from Doppler Wind Lidar installed at Iquique airport.Wind speed and direction were derived from the VAD-24 scans performed every 15minutes. Error estimates (variables delta_* in the netcdf files) are based on turbulence from vertical stare measurements.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; LiDAR ; Wind speed ; Wind direction
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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  • 9
    Publication Date: 2022-02-25
    Description: Abstract
    Description: Classification of the state of the atmospheric boundary layer at Diego Aracena Aitport, Iquique, Chile. Profiles of vertical and horizontal wind speed and backscatter coefficient (measured with a Doppler Wind Lidar) as well as thermal stratification at the surface (Thermo-Hygrometers at ~1m and ~2m height) are used to identify height regions without and with turbulence, clouds and precipitation . In a second step the sources of this turbulence are identified (clouds, surface heating or wind shear). For details of the method see Manninen, A., T. Marke, E. O'Connor, and M. Tuononen, 2018: Atmospheric boundary layer classification with Doppler lidar, J. Geophys. Res. , 123, DOI:10.1029/2017JD028169. For daily plots see: http://tiny.cc/iqq_cn_bl_class
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; LiDAR ; Stratocumulus ; Wind ; Clouds
    Type: Dataset , Dataset
    Format: NetCDF
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  • 10
    Publication Date: 2022-12-21
    Description: Abstract
    Description: This dataset summarizes the following physicochemical parameters assessed for 32 soil samples sieved to 〈2 mm from 16 shallow soil profiles, which were sampled in two depth intervals (0–15 and 15–30 cm): CIELAB soil colour, spectrophotometric redness index, electrical conductivity, soil pH, contents of organic carbon, organic phosphorus and total phosphorus, proportion of organic phosphorus in total phosphorus, calcium carbonate content, geochemical proxies for (de)calcification and (de)salinization, and contents of total and poorly crystalline pedogenic iron oxides. Constituting a soil chronosequence at the south-central coast of the Atacama Desert, four shallow soil profiles were sampled from each of the four morphostratigraphic units of the coastal alluvial fan Paposo (25.03°S/70.47°W). Results are stored in a .csv table.
    Keywords: Environment ; Soil Sciences ; Geomorphology ; Biogeochemistry of Soils ; Arid Zone
    Type: Dataset , Data table
    Format: 1 Datasets
    Format: CSV
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