Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications

Abstract

Hyperspectral imagery plays a vital role in precision agriculture, forestry, environment, and geological applications. Over the past decade, extensive research has been carried out in the field of hyperspectral remote sensing. First introduced by the Italian Space Agency ASI in 2019, space-borne PRISMA hyperspectral imagery (PHSI) is taking the hyperspectral remote sensing research community into the next era due to its unprecedented spectral resolution of ≤12 nm. Given these abundant free data and high spatial resolution, it is crucial to provide remote sensing researchers with information about the critical attributes of PRISMA imagery, making it the most viable solution for various land and water applications. Hence, in the present study, a SWOT analysis was performed for PHSI using recent case studies to exploit the potential of PHSI for different remote sensing applications, such as snow, soil, water, natural gas, and vegetation. From this analysis, it was found that the higher reflectance spectra of PHSI, which have comprehensive coverage, have greater potential to extract vegetation biophysical parameters compared to other applications. Though the possible use of these data was demonstrated in a few other applications, such as the identification of methane gases and soil mineral mapping, the data may not be suitable for continuous monitoring due to their limited acquisition, long revisiting times, noisy bands, atmospheric interferences, and computationally heavy processing, particularly when executing machine learning models. The potential applications of PHSI include large-scale and efficient mapping, transferring technology, and fusion with other remote sensing data, whereas the lifetime of satellites and the need for interdisciplinary personnel pose challenges. Furthermore, some strategies to overcome the aforementioned weaknesses and threats are described in our conclusions.

Development of a Novel Implementation of a Remotely Piloted Aircraft System over 25 kg for Hyperspectral Payloads

“…A large number of newly in orbit and planned spaceborne hyperspectral imagers (e.g., EnMAP [14], HISUI [15], PRISMA [16], Planet Tanager Constellation [37], SBG [38], PACE OCI [39], CHIME [40], HYPSO [41], etc.) have driven the need for improvement in the spatial representativeness of upscaling cal/val data.…”

Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications

“…Both acquire spectra across relatively narrow 30 km path widths at 30 m GSD, recording full-range VSWIR spectral collections. While maintaining a similar ability to distinguish geometric characteristics as previous imaging satellites, their additional hyperspectral and spatial sampling capabilities enable better characterization of the chemical-physical composition of the surface materials based on their unique spectral signatures [ 242 ]. The PRISMA and EnMAP programs provide steppingstones along the pathway to prepare for the future global operational IS monitoring era, starting with NASA’s Surface Biology and Geology mission, SBG-VSWIR ( Section 16.1 ) and ESA/EU’s CHIME in the early 2030s-time frame ( Section 17.2 ).…”

Estimation of Mangrove Fractional Cover From Multispectral and Hyperspectral Data Using Mixture Tuned Matched Filtering

“…Shaik, Periasamy, and Zeng (2023) noted that PRISMA hyperspectral images have been utilized in various applications including forest fuel mapping, forest discrimination, burned area mapping, prediction of methane emissions, agricultural applications, mapping of soil moisture, soil organic matter, and soil organic carbon, water quality, and geological applications. However, compared to other applications, PRISMA images have greater potential to extract vegetation biophysical parameters, owing to its higher reflectance spectra and comprehensive spectral coverage (Shaik, Periasamy, and Zeng, 2023). Various levels of PRISMA products are available: Level 0, Level 1, and Level 2.…”