Leonardo Spaceborne Infrared Payloads for Earth Observation: SLSTRs for Copernicus Sentinel 3 and PRISMA Hyperspectral Camera for PRISMA Satellite

Coppo,; Brandani,; Faraci,; Sarti,; Cosi,

doi:10.3390/proceedings2019027001

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…The PRISMA system provides the capability to acquire, downlink and archive images of all hyperspectral/panchromatic channels totalling 200,000 km 2 daily over the primary area of interest defined as in the following ranges: 180°W—180°E and 70°S—70°N [ 37 ]. A comprehensive description of the PRISMA optical design and technical specifications, including pre-launch and in-flight spectral and radiometric characterization/calibration information, are described in [ 38 ]. Notably, the radiometric stability estimated from the onboard calibration unit is better than

for VNIR spectrometer and bandcenter wavelength shift is lower than 0.1 pixel cross-track.…”

Section: Methodsmentioning

confidence: 99%

“…AERONET-OC is instrumental in satellite ocean colour validation activities through standardized measurements performed at different sites with a single measuring system and protocol, calibrated with an identical reference source and method, and processed with the same code [ 48 , 49 , 50 ]. In recent years, AERONET-OC has also supported the radiometric characterization of Landsat-8 and Sentinel-2 for aquatic applications [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ] and, even if for a limited set of bands, we have considered this network very relevant also for PRISMA.…”

Section: Methodsmentioning

confidence: 99%

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First Evaluation of PRISMA Level 1 Data for Water Applications

Giardino

Bresciani

Braga

et al. 2020

Sensors

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This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the radiometrically calibrated PRISMA Level 1 TOA radiances were compared to the TOA radiances simulated with a radiative transfer code, starting from in situ measurements of water reflectance. In situ data were obtained from a set of fixed position autonomous radiometers covering a wide range of water types, encompassing coastal and inland waters. A total of nine match-ups between PRISMA and in situ measurements distributed from July 2019 to June 2020 were analysed. Recognising the role of Sentinel-2 for inland and coastal waters applications, the TOA radiances measured from concurrent Sentinel-2 observations were added to the comparison. The results overall demonstrated that PRISMA VNIR sensor is providing TOA radiances with the same magnitude and shape of those in situ simulated (spectral angle difference, SA, between 0.80 and 3.39; root mean square difference, RMSD, between 0.98 and 4.76 [mW m−2 sr−1 nm−1]), with slightly larger differences at shorter wavelengths. The PRISMA TOA radiances were also found very similar to Sentinel-2 data (RMSD < 3.78 [mW m−2 sr−1 nm−1]), and encourage a synergic use of both sensors for aquatic applications. Further analyses with a higher number of match-ups between PRISMA, in situ and Sentinel-2 data are however recommended to fully characterize the on-orbit calibration of PRISMA for its exploitation in aquatic ecosystem mapping.

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for VNIR spectrometer and bandcenter wavelength shift is lower than 0.1 pixel cross-track.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

First Evaluation of PRISMA Level 1 Data for Water Applications

Giardino

Bresciani

Braga

et al. 2020

Sensors

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“…In this phase, a Gaussian low pass filter is used to simulate the sensor MTF. The value of amplitude response of the filter at the Nyquist frequency for all the PRISMA sensor channels is set to 0.3 according to the experimental results in [52]. Finally, Gaussian noise with a given SNR (𝑆𝑁𝑅 𝑃 ) is added to the resulting image to obtain the simulated PRISMA image 𝒀 .…”

Section: A Simulation Strategymentioning

confidence: 99%

PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data

Acito

Diani²,

Corsini

2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper deals with the problem of improving the spatial resolution of hyperspectral data from the PRISMA mission. For this purpose, higher spatial resolution data from the Sentinel-2 (S2) mission are exploited. Particularly, the ten S2 bands at 10 m and 20 m spatial resolution are used to accomplish the PRISMA super-resolution (SR) task. The paper presents a new end-to-end procedure, called PRISMA-SR, that starting from the S2 data and the low resolution PRISMA image, provides a superresolved image with a spatial resolution of 10 m and the same spectral resolution as the PRISMA hyperspectral sensor. The first step of the PRISMA-SR procedure consists in fusing S2 data at different spatial resolutions to obtain a synthetic MS image with 10 m spatial resolution and 10 spectral bands. Then, an unsupervised procedure is applied to co-register the fused S2 image and the PRISMA image. Finally, the two images at different spatial resolutions are properly combined in order to obtain the super-resolved hyperspectral image. Solutions for each step of the PRISMA-SR processing chain are proposed and discussed. Simulated data are used to show the effectiveness of the PRISMA-SR scheme and to investigate the impact on its performance of each step of the processing chain. Real S2 and PRISMA images are finally considered to provide an example of the application of the PRISMA-SR.

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“…The advantages of prism-based spectrometers are their compact design and high efficiency [26]; the main disadvantage is the low dispersion [26]. The "instantaneous" spectral and spatial dimensions (across the track) of the PRISMA hyperspectral cube are directly determined by the 2D detectors, while the third dimension (along the track) is determined by the satellite motion (push broom) [27], to provide the 30 × 30 km scene.…”

Section: Prisma Sensormentioning

confidence: 99%

Exploring PRISMA Scene for Fire Detection: Case Study of 2019 Bushfires in Ben Halls Gap National Park, NSW, Australia

Amici

Piscini

2021

Remote Sensing

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Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) is a new hyperspectral mission by the ASI (Agenzia Spaziale Italiana, Italian Space Agency) mission launched in 2019 to measure the unique spectral features of diverse materials including vegetation and forest disturbances. In this study, we explored the potential use of this new sensor PRISMA for active wildfire characterization. We used the PRISMA hypercube acquired during the Australian bushfires of 2019 in New South Wales to test three detection techniques that take advantage of the unique spectral features of biomass burning in the spectral range measured by PRISMA. The three methods—the CO2-CIBR (continuum interpolated band ratio), HFDI (hyperspectral fire detection index) and AKBD (advanced K band difference)—were adapted to the PRISMA sensor’s characteristics and evaluated in terms of performance. Classification techniques based on machine learning algorithms (support vector machine, SVM) were used in combination with the visual interpretation of a panchromatic sharpened PRISMA image for validation. Preliminary analysis showed a good overall performance of the instrument in terms of radiance. We observed that the presence of the striping effect in the data can influence the performance of the indices. Both the CIBR and HFDI adapted for PRISMA were able to produce a detection rate spanning between 0.13561 and 0.81598 for CO2-CIBR and that between 0.36171 and 0.88431 depending on the chosen band combination. The potassium emission index turned out to be inadequate for locating flaming in our data, possibly due to multiple factors such as striping noise and the spectral resolution (12 nm) of the PRISMA band centered at the potassium emission.

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Leonardo Spaceborne Infrared Payloads for Earth Observation: SLSTRs for Copernicus Sentinel 3 and PRISMA Hyperspectral Camera for PRISMA Satellite

Cited by 5 publications

References 2 publications

First Evaluation of PRISMA Level 1 Data for Water Applications

First Evaluation of PRISMA Level 1 Data for Water Applications

PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data

Exploring PRISMA Scene for Fire Detection: Case Study of 2019 Bushfires in Ben Halls Gap National Park, NSW, Australia

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