The New Hyperspectral Sensor Desis on the Multi-Payload Platform Muses Installed on the Iss

Müller, Rupert; Avbelj, Janja; Carmona, E.; Eckardt, Andreas; Gerasch, Birgit; Graham, L.; Günther, Burghardt; Heiden, Uta; Ickes, Jack; Kerr, Grégoire; Knodt, Uwe; Krutz, David; Krawczyk, Harald; Makarau, Aliaksei; Miller, R.L.; Perkins, R.; Walter, Ingo

doi:10.5194/isprs-archives-xli-b1-461-2016

Cited by 21 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several spaceborne imaging sensors have been launched in recent years while in the near future new missions are planned. To focus on satellite sensors which provide a spatial resolution between ~17 and ~33 m, as recommended by Dekker [102], missions such as PRISMA [50], DESIS [103] or GaoFeng-5 [104,105] have to be mentioned as currently orbiting, while EnMAP [106], PRISMA-SG, CHIME and SBG [107] will follow in the next years.…”

Section: Discussionmentioning

confidence: 99%

Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

et al. 2022

View full text Add to dashboard Cite

The monitoring of water bio-physical parameters and the management of aquatic ecosystems are crucial to cope with the current state of inland water degradation. Not only does water quality monitoring support management decision making, it also provides vital insights to better understand changing structural and functional lake processes. Remote sensing has been widely recognized as an essential integrating technique for water quality monitoring, thanks to its capabilities to utilize both historical archive data for thousands of lakes as well as near-real time observations at multiple scales. To date, most of the applications developed for inland water have been based on multispectral and mid to coarse spatial resolution satellites, while a new generation of spaceborne imaging spectroscopy is now available, and future missions are under development. This review aims to present the exploitation of data gathered from two currently orbiting hyperspectral sensors (i.e., PRISMA and DESIS) to retrieve water quality parameters across different aquatic ecosystems, encompassing deep clear lakes and river dammed reservoirs.

show abstract

Section: Discussionmentioning

confidence: 99%

Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

et al. 2022

View full text Add to dashboard Cite

show abstract

“…While the original variant offers the highest radiometric resolution, Müller et al could show that it has a comparatively low signal-to-noise (SNR) ratio. The SNR of the 4× binning product is almost twice as high compared to the original version for nearly all wavelengths [18]. This study therefore uses to 4× binning variant, in which groups of four bands are aggregated into one, thus significantly improving the SNR.…”

Section: Discussionmentioning

confidence: 99%

Utilization of Hyperspectral Remote Sensing Imagery for Improving Burnt Area Mapping Accuracy

2021

View full text Add to dashboard Cite

Wildfires pose a direct threat when occurring close to populated areas. Additionally, their significant carbon and climate feedbacks represent an indirect threat on a global, long-term scale. Monitoring and analyzing wildfires is therefore a crucial task to increase the understanding of interconnections between fire and ecosystems, in order to improve wildfire management activities. This study investigates the suitability of 232 different red/near-infrared band combinations based on hyperspectral imagery of the DESIS sensor with regard to burnt area detection accuracy. It is shown that the selection of wavelengths greatly influences the detection quality, and that especially the utilization of lower near-infrared wavelengths increases the yielded accuracy. For burnt area analysis based on the Normalized Difference Vegetation Index (NDVI), the optimal wavelength range has been found to be 660–670 nm and 810–835 nm for the red band and near-infrared band, respectively.

show abstract

“…The mission [1] includes a hyperspectral imager covering the 400-2500 nm spectral range with 237 bands and a panchromatic (PAN) camera (400-750 nm). Currently, many countries, even though they are at different stages of development, are planning or are close to launching hyperspectral spaceborne sensors, such as the Environmental Mapping and Analysis Program (EnMAP) from DLR [2], the Surface Biology and Geology (SBG) from NASA-USGS [3,4], the Hyperspectral Imager Suite (HISUI) from Jaxa [5], the USA's Earth Surface Mineral Dust Source Investigation (EMIT) [6], and the DLR Earth Sensing Imaging Spectrometer (DESIS) [7,8]. The PRISMA mission, being de facto the first new-generation European hyperspectral spaceborne mission, serves as a stepping stone for the further developments of the European spaceborne spectrometers (e.g., ESA CHIME [9], SHALOM [10], and ASI PRISMA-2 [10,11]) and the provision of new high-priority products focusing on different environmental themes.…”

Section: Introductionmentioning

confidence: 99%

PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy

et al. 2022

View full text Add to dashboard Cite

In March 2019, the PRISMA (PRecursore IperSpettrale della Missione Applicativa) hyperspectral satellite was launched by the Italian Space Agency (ASI), and it is currently operational on a global basis. The mission includes the hyperspectral imager PRISMA working in the 400–2500 nm spectral range with 237 bands and a panchromatic (PAN) camera (400–750 nm). This paper presents an evaluation of the PRISMA top-of-atmosphere (TOA) L1 products using different in situ measurements acquired over a fragmented rural area in Southern Italy (Pignola) between October 2019 and July 2021. L1 radiance values were compared with the TOA radiances simulated with a radiative transfer code configured using measurements of the atmospheric profile and the surface spectral characteristics. The L2 reflectance products were also compared with the data obtained by using the ImACor code atmospheric correction tool. A preliminary assessment to identify PRISMA noise characteristics was also conducted. The results showed that: (i) the PRISMA performance, as measured at the Pignola site over different seasons, is characterized by relative mean absolute differences (RMAD) of about 5–7% up to 1800 nm, while a decrease in accuracy was observed in the SWIR; (ii) a coherent noise could be observed in all the analyzed images below the 630th scan line, with a frequency of about 0.3–0.4 cycles/pixel; (iii) the most recent version of the standard reflectance L2 product (i.e., Version 2.05) matched well the reflectance values obtained by using the ImACor atmospheric correction tool. All these preliminary results confirm that PRISMA imagery is suitable for an accurate retrieval of the bio-geochemical variables pertaining to a complex fragmented ecosystem such as that of the Southern Apennines. Further studies are needed to confirm and monitor PRISMA data performance on different land-cover areas and on the Radiometric Calibration Network (RadCalNet) targets.

show abstract

The New Hyperspectral Sensor Desis on the Multi-Payload Platform Muses Installed on the Iss

Cited by 21 publications

References 7 publications

Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

Utilization of Hyperspectral Remote Sensing Imagery for Improving Burnt Area Mapping Accuracy

PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy

Contact Info

Product

Resources

About