Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications
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 PRI...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/5/1378 |
| _version_ | 1797614456379801600 |
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| author | Riyaaz Uddien Shaik Shoba Periasamy Weiping Zeng |
| author_facet | Riyaaz Uddien Shaik Shoba Periasamy Weiping Zeng |
| author_sort | Riyaaz Uddien Shaik |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T07:11:40Z |
| format | Article |
| id | doaj.art-9253312ae5374574b9a4f29b45014c7a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T07:11:40Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9253312ae5374574b9a4f29b45014c7a2023-11-17T08:32:18ZengMDPI AGRemote Sensing2072-42922023-02-01155137810.3390/rs15051378Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing ApplicationsRiyaaz Uddien Shaik0Shoba Periasamy1Weiping Zeng2Super GeoAI Technology Inc., 229-116 Research Drive, Saskatoon, SK S7N3R3, CanadaDepartment of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, IndiaSuper GeoAI Technology Inc., 229-116 Research Drive, Saskatoon, SK S7N3R3, CanadaHyperspectral 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.https://www.mdpi.com/2072-4292/15/5/1378Italian Space Agencyhyperspectral imagerypotential assessmentPRISMASWOT |
| spellingShingle | Riyaaz Uddien Shaik Shoba Periasamy Weiping Zeng Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications Remote Sensing Italian Space Agency hyperspectral imagery potential assessment PRISMA SWOT |
| title | Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications |
| title_full | Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications |
| title_fullStr | Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications |
| title_full_unstemmed | Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications |
| title_short | Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications |
| title_sort | potential assessment of prisma hyperspectral imagery for remote sensing applications |
| topic | Italian Space Agency hyperspectral imagery potential assessment PRISMA SWOT |
| url | https://www.mdpi.com/2072-4292/15/5/1378 |
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