API src

Found 33 results.

HySpex - Level 2 Hyperspectral Images - Bohemian Forest

This collection contains airborne hyperspectral imagery acquired by the EOC user service OpAiRS. The data was recorded with the airborne DLR EnMAP simulator, which contains two HySpex cameras manufactured by the Norwegian Company NEO. The survey has been conducted within the scope of the “Data Pool Initiative for the Bohemian Forest Ecosystem”. It covers parts of the Bohemian forest, mainly the Bavarian Forest National Park. The data are made available as orthorectified ground reflectance. For more information concerning the airborne sensor system the reader is referred to: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11411/19998_read-46623/

Demmin, Germany (2015) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications

This dataset accompanying the MOOC on soil applications contains an airborne hyperspectral HySpex image over the study site Demmin in Northern Germany which was recorded in October 2015. The surrounding area of Demmin is characterized by its glacial past and is largely used for agriculture. Here you can find relics of the ice age such as kettle holes - small, completely closed hollow shapes whose formation is attributed to the burial and subsequent thawing of an ice lens. Mostly overgrown nowadays by vegetation, SOC accumulates in these areas and higher contents are measured. The image dataset is fully pre-processed – all non-soil pixels are masked, the spectra were smoothed using a Savitzky-Golay Filter and transformed to first derivatives – and provided in BSQ format. In addition to the HySpex image, this dataset contains a point data shapefile with 27 sampling locations, as well as information on the soil organic carbon (SOC) contents [g/kg]. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2023. Guidance on how to derive quantitative soil maps (SOC content) using the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the soil MOOC course pages and the regression workflow documentation.

Karslruhe, Germany (2010) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on forest applications

This dataset accompanying the MOOC on forest applications contains an airborne hyperspectral HyMap image over the study site north of Karlsruhe in Southwest Germany which was recorded in August 2010. The surrounding area of Karlsruhe is characterized by its relatively warm climate due to the influence of the Upper-Rhine and its climate can be considered more continental than typical German conditions. Additionally it is characterized by its flat terrain. Here you can find a diversity of tree species growing in the mixed forests. These include coniferous trees such as Scots Pine, Douglas Fir, Norway Spruce, Silver Fir and Larch as well as deciduous tree species like European Beech, Oak and Red Oak. The image dataset is fully pre-processed –it was atmospherically and topographically corrected by the DLR using ATCOR4 and ORTH software – and provided in TIF format. In addition to the HyMap image, this dataset contains a point data shapefile with 250 sampling locations, which represents 5 tree species with 50 reference positions each. These reference positions were collected using visual interpretation of high-resolution images in combination with reference tree species maps provided by the local forest administration. These reference tree species maps are also provided as tif-files. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Forest Applications ", available from Summer 2025. Guidance on how to derive tree species classification maps using the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the forest MOOC course pages and the regression workflow documentation. HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.

Cabo de Gata-Nίjar Natural Park, Spain (2005) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications

The dataset contains a subset of an airborne hyperspectral HyMap image over the Cabo de Gata-Nίjar Natural Park in Spain from 15.06.2005, and soil wet chemistry data based on in-situ soil sampling. The Cabo de Gata-Nίjar Natural Park is a semi-arid mediterranean area in Southern Spain, sparsely populated and with a range of landscape patterns. The soils in this area are developed on volcanic and carbonatic bedrocks and are highly variable in their textural and mineralogical composition, offering interesting spectral variability. The airborne survey was acquired during a DLR / HyVista HyEurope campaign. The image dataset is fully processed for atmospheric and geometric correction with PARGE and ATCOR and is provided as orthorectified reflectance in BSQ format. Spatial resolution is 5 m and spectral coverage is 0.45-2.45 μm with 12-17 nm spectral sampling. In addition to the HyMap imagery, this dataset contains two soil reference datasets as CSV files, namely in-situ data for clay content and iron content. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2024. Guidance on how to derive semiquantitative and quantitative soil maps (clay and iron content) using the EnMAP-Box (QGIS plugin) EnSoMAP tool are provided as videos at the HYPERedu YouTube channel (https://www.youtube.com/@HYPERedu_GFZ/playlists) and the soil MOOC course pages (https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-soil-applications/).

Irlbach 2021 - An Agricultural Flight Campaign to prepare for Spaceborne Spectroscopy using the AVIRIS_NG Instrument

The airborne hyperspectral image was acquired by the AVIRIS-Next Generation (AVIRIS-NG) instrument during the AVIRIS-NG Europe 2021 HyperSense campaign that has been conducted as a joint effort of ESA, NASA/JPL and the University of Zurich. Acquired was an agricultural area near Irlbach, Germany on May 30th, 2021. The data was preprocessed (radiometrically, geometrically and atmospherically corrected) to contain 419 bands in the 402 - 2495 nm spectral range. Metadata was acquired on the same day for the variables Leaf Area Index (LAI), Leaf Chlorophyll content, crop height and phenology. An overview of metadata acquisition and processing can be found in the HYPERedu YouTube videos on ground reference data acquisition in the field and ground reference data acquisition in the lab. More details on LAI and chlorophyll acquisition can be found in the field data guides assembled by the authors of this dataset via enmap.org (Danner et al., 2015; Süß et al., 2015). The dataset is made publically available within the massive open online course (MOOC) "Beyond the Visible - Introduction to Imaging Spectroscopy for Agricultural Applications", available from December 2022.

Mobile Feldspektrometermessungen

Collected, processed mobile field spectroscopy measurementes, acquired during the campaigns within the frame of the mDRONES4RIVERS project in the years 2019, 2020 and 2021 respectively. Measurement were conducted in river-shore areas along the Rhine in Emmericher Ward, Nonnenwerth, Niederwerth, Kuehkopf and Laubenheim in Germany, to accompany airborne, multispectral mapping and to collect representative hyperspectral signatures of vegetation and sediments. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view, optics were stabilized with and active gimbal. The data is present as human-readable .csv files and structured for each year in folders named with date and place of recording. Raw data, calibrated reflectance, reflected radiance, incoming radiance from measurements with the RoX field-spectrometer and derived vegetation indices (VI) are in subfolder /JB-112-GX/. Associated photos for each recorded footprint are collected in the /fotos/ folder. The derived level-2 data products are placed in /mD4R_L3-products/ and contains an overview table with unique ID, summarized meta-data including notes from the field protocol, associted photo-ID, GPS coordinates in WGS-84 and in ETRS 89 - 32N, classification information in 4 levels of differentiation and VI for each recorded footprint. In addition is the deconvolved multispectral reflectance response for the MicaSense Red Edge and Red Edge Blue, as well as the Gyrocopter costum sensor PanX 3.0 with all available filters reported with mean and standard deviation for each footprint in an individual file per sensor. Furthermore, this folder contains the mean and standard deviation of the hyperspectral reflectance as recorded by the RoX for each footprint. Primary key for all tables is the collumn IDMD4R, which contains a unique identifier for each footprint, composed out of the short for place of recording, year of recording, season (1 - winter, 2 - spring, 3- summer, 4 - fall), date, work group and running index. In addition, the protocol.txt file contains the raw notes taken during the field measurements. The same information is also present in the notes column of the overview table in the products folder.

Stationäre Feldspektrometermessungen

Processed stationary field spectroscopy measurementes. Time series were collected with solar powered long-term installations (LTI) using the RoX field spectrometer within the frame of the mDRONES4RIVERS project in the years 2019, 2020 and 2021 respectively. Measurement were recorded at the southern tip of the island Nonnenwerth in 2019 and 2020, over a side arm of the Rhine in Emmericher Ward 2019, 2020, 2021 (as Emmerich I) and in a ditch at the side arm in Emmericher Ward 2020 and 2021 (as Emmerich II) in Germany. LTI Nonnenwerth was investigating dewberry (Rubus caesius), LTI Emmerich I was investigating sediment dynamics and mixed pioneering vegetation and LTI Emmerich II was investigating mainly mixed pioneering vegetation. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view. Zip repositories contain folders named according to LTI place and year of recording. They include human radable .csv files for raw RoX data, calibrated radiance and reflectance in subfolders named after date of recording, a folder with time-lapse photographs of the footprint (only for Emmerich I and Emmerich II) and an ALL_INDEX file, each. For reflectance and radiance files, the first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m-2 sr-1 nm-1) or reflectance (unitless) values. The ALL_INDEX file contains meta data, computed vegetation indices(VI) and quality flags for the time series.

Berlin as seen by EnMAP - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on preprocessing techniques

The dataset contains a spaceborne hyperspectral image acquired by EnMAP over Berlin, Germany, and surrounding areas on July 24th, 2022. The data was preprocessed to Level 1B format (systematically and radiometrically corrected) and is provided in separate BSQ files for the VNIR and SWIR sensor of the instrument, respectively. The Level 1B product is accompanied by a history file (xml), a metadata file (xml), six quality masks (cirrus, classes, cloud, cloud shadow, haze and snow) as well as quality test flags and pixel masks for the VNIR and SWIR files separately (all TIF format). In addition, this dataset comes with a digital elevation model, COP-DEM-GLO-30-R (ESA, Copernicus) and a Sentinel-2 scene (ESA, Copernicus) as references for geometric and atmospheric correction with the EnMAP processing tool (EnPT). Please note that the two datasets described above are NOT part of the same license as the EnMAP data. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - EnMAP data access and image preprocessing techniques", available from July 2023. Guidance on preprocessing hyperspectral imagery in general, access to EnMAP data and a hands-on tutorial on preprocessing of EnMAP data with EnPT in the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the MOOC course page and the EnPT documentation. More information about the EnMAP mission can be found on the mission website and in Guanter et al. (2016) and Storch et al. (2023).

Mineral reflectance spectra and chemistry of 29 rare earth-bearing minerals and rare earth oxide powders including niobium- and tantalum-oxide powder

The data set contains mineral chemical analyses of 32 rare earth element (REE) -bearing minerals (REMin) and rare-earth oxides (REO) and their corresponding hyperspectral spectra. The hyperspectral data was acquired with the HySpex system in a range of 400 – 2500 nm and is presented in a spectral library. The resulting reflectance data are scaled from 0 - 10000. The two Rare Earth Element (REE) libraries consist of the spectra of 16 rare earth oxides powders (REO) and 14 REE-bearing minerals (REMin). In addition, it contains the spectra of niobium- and tantalum oxide, two elements technically not part of the REEs. The spectral library presented here is part of a bigger collection of spectral libraries including copper-bearing surface samples from Apliki copper-gold-pyrite mine (Koerting et al., 2019a, http://doi.org/10.5880/GFZ.1.4.2019.005) and copper-bearing minerals (Koellner et al., 2019, http://doi.org/10.5880/GFZ.1.4.2019.003). These libraries aim to give a spectral overview of important resources and ore mineralization.

Hyperspectral absorption coefficient measurements during the cruise HE545 with RV HEINCKE

This dataset was collected during the cruise HE545 (10.11.2019 - 12.11.2019) with RV HEINCKE from Cuxhaven, Germany to Bremerhaven, Germany. It contains absorption coefficients [m-1] from water constituents in a range of 400 to 710 nm (2 nm resolution). In total, 31 samples have been taken in approx. 5 m depth. At some occasions, also other depths were sampled. The water samples were analyzed for the total absorption coefficients of water constituents (a_tot). The absorption coefficient measurements were performed with a point-source integrating-cavity absorption meter (PSICAM) with a sample volume of approx. 400 ml. The specifications of the PSICAM, relevant publications, information regarding the measurements, calibration of the instrument, and data correction are provided in a separate document. Raw data are available on request from the authors. Supplementary Information attached. Chief Scientist of HE545: Dr. Thomas Badewien / Dr. Jochen Wollschläger, Institute for Chemistry and Biology of the Marine Environment (ICBM). Work related to Coastal ocean darkening - Light availability in the past and future marine environment (COD).

1 2 3 4