API src

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

Description: 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.

Global identifier:

Doi(
    "10.5880/enmap.2025.002",
)

Types:

Origins: /Wissenschaft/GFZ Data Services

Tags: Karlsruhe ? Buche ? Eiche ? Fichte ? Nadelbaum ? Wasserstraße ? Wohnung ? Baum ? Deutschland ? Satellit ? Software ? Mischwald ? Aquatisches Ökosystem ? Studie ? Monitoringprogramm ? Hyperspektrale Fernerkundung ? Klassifikation ? Wald ? EARTH SCIENCE > SPECTRAL/ENGINEERING ? HyMap airborne imagery ? hyperspectral ? hyperspectral imagery ?

License: unbekannt

Language: Englisch/English

Organisations

Issued: 2025-01-01

Time ranges: 2025-01-01 - 2025-01-01

Status

Quality score

Accessed 1 times.