ArticleSensors (Basel, Switzerland)2019
Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS).
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Article
- Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications.Sensors (Basel, Switzerland) · 2024Review
- Emerging sensing, imaging, and computational technologies to scale nano-to macroscale rhizosphere dynamics - Review and research perspectives.Soil biology & biochemistry · 2024Article
- Design of a Prism-Grating Wide Spectral Range Transmittance Imaging Spectrometer.Sensors (Basel, Switzerland) · 2023Article
- The Weight of Hyperion and PRISMA Hyperspectral Sensor Characteristics on Image Capability to Retrieve Urban Surface Materials in the City of Venice.Sensors (Basel, Switzerland) · 2023Article
- Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s.Journal of geophysical research. Biogeosciences · 2023Article
- Spatial response resampling (SRMethodsX · 2023Article
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data.NPJ microgravity · 2022Review
- Atmospheric Lengthscales for Global VSWIR Imaging Spectroscopy.Journal of geophysical research. Biogeosciences · 2022Article
- Sponge City Planning and Information System Development Based on Geographic Information Fuzzy Processing.Computational intelligence and neuroscience · 2022Article
- Predicting species distributions and community composition using satellite remote sensing predictors.Scientific reports · 2021Article
- First Evaluation of PRISMA Level 1 Data for Water Applications.Sensors (Basel, Switzerland) · 2020Article
- PACO: Python-Based Atmospheric COrrection.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Imaging spectrometry from aerial or spaceborne platforms, also known as hyperspectral remote sensing, provides dense sampled and fine structured spectral information for each image pixel, allowing the user to identify and characterize Earth surface materials such as minerals in rocks and soils, vegetation types and stress indicators, and water constituents. The recently launched DLR Earth Sensing Imaging Spectrometer (DESIS) installed on the International Space Station (ISS) closes the long-term gap of sparsely available spaceborne imaging spectrometry data and will be part of the upcoming fleet of such new instruments in orbit. DESIS measures in the spectral range from 400 and 1000 nm with a spectral sampling distance of 2.55 nm and a Full Width Half Maximum (FWHM) of about 3.5 nm. The ground sample distance is 30 m with 1024 pixels across track. In this article, a detailed review is given on the applicability of DESIS data based on the specifics of the instrument, the characteristics of the ISS orbit, and the methods applied to generate products. The various DESIS data products available for users are described with the focus on specific processing steps. The results of the data quality and product validation studies show that top-of-atmosphere radiance, geometrically corrected, and bottom-of-atmosphere reflectance products meet the mission requirements. The limitations of the DESIS data products are also subject to a critical examination.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.