Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels
Suspended particulate matter (SPM) concentration is an essential biogeochemical parameter for water quality evaluation and morphodynamic researches. As the newest satellite in Planet family, SuperDove (SD) with eight spectral bands achieves observation to Earth with unprecedented temporal and spatia...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25001876 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850059828822540288 |
|---|---|
| author | Peng Li Shenliang Chen Congliang Xu Wenjuan Wu Jiarui Qi Yinghai Ke Hongyu Ji Shihua Li Xiaojing Zhong |
| author_facet | Peng Li Shenliang Chen Congliang Xu Wenjuan Wu Jiarui Qi Yinghai Ke Hongyu Ji Shihua Li Xiaojing Zhong |
| author_sort | Peng Li |
| collection | DOAJ |
| description | Suspended particulate matter (SPM) concentration is an essential biogeochemical parameter for water quality evaluation and morphodynamic researches. As the newest satellite in Planet family, SuperDove (SD) with eight spectral bands achieves observation to Earth with unprecedented temporal and spatial resolution. In this study, we developed a SPM retrieval model for SD using in-situ datasets in Yellow River Estuary, and compared the spectral and SPM products of SD with Sentinel-2 MSI and Landsat-8 OLI, and finally investigated SPM variations within typical tidal channels in recent years using multiple SD images. The results revealed that SPM concentrations derived from SD achieved high accuracy (R2 = 0.95, Relative Percentage Difference = 30.69 %) based on our algorithm. While SD, MSI and OLI agreed well in terms of top-of-atmosphere reflectance, remote sensing reflectance and retrieved SPM concentrations, SD was able to effectively monitor SPM dynamics in tidal channels due to its higher spatial resolution. Several human-derived floods in recent years caused damage to the south embankment of Yellow River, resulting in lateral transport of high-SPM river water, which dramatically increased SPM concentration in the tidal channels and influenced the neighboring tidal channel networks through the newly developed fine trenches. Moreover, for commonly used satellite data, the spatial resolution of 3–30 m is required to characterize the details of SPM distribution, and the observation frequency of at least 1/1d is necessary to capture monthly change pattern of SPM, which demonstrated that SD imagery has great potential for monitoring SPM or other parameters in high-turbidity, strong-dynamic and small-scale waters. |
| format | Article |
| id | doaj-art-037b410b144d48e2b4bc69bceade3dec |
| institution | DOAJ |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-037b410b144d48e2b4bc69bceade3dec2025-08-20T02:50:45ZengElsevierEcological Indicators1470-160X2025-03-0117211325810.1016/j.ecolind.2025.113258Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channelsPeng Li0Shenliang Chen1Congliang Xu2Wenjuan Wu3Jiarui Qi4Yinghai Ke5Hongyu Ji6Shihua Li7Xiaojing Zhong8College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, ChinaState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China; Corresponding authors.Institute of the Yellow River Estuary and Coast Science, Dongying 257000, ChinaInstitute of the Yellow River Estuary and Coast Science, Dongying 257000, ChinaCollege of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaNational Marine Environmental Monitoring Center, Ministry of Ecology and Environment, Dalian 116023, ChinaSchool of Advanced Manufacturing, Fuzhou University, Jinjiang 362251, ChinaCollege of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China; Corresponding authors.Suspended particulate matter (SPM) concentration is an essential biogeochemical parameter for water quality evaluation and morphodynamic researches. As the newest satellite in Planet family, SuperDove (SD) with eight spectral bands achieves observation to Earth with unprecedented temporal and spatial resolution. In this study, we developed a SPM retrieval model for SD using in-situ datasets in Yellow River Estuary, and compared the spectral and SPM products of SD with Sentinel-2 MSI and Landsat-8 OLI, and finally investigated SPM variations within typical tidal channels in recent years using multiple SD images. The results revealed that SPM concentrations derived from SD achieved high accuracy (R2 = 0.95, Relative Percentage Difference = 30.69 %) based on our algorithm. While SD, MSI and OLI agreed well in terms of top-of-atmosphere reflectance, remote sensing reflectance and retrieved SPM concentrations, SD was able to effectively monitor SPM dynamics in tidal channels due to its higher spatial resolution. Several human-derived floods in recent years caused damage to the south embankment of Yellow River, resulting in lateral transport of high-SPM river water, which dramatically increased SPM concentration in the tidal channels and influenced the neighboring tidal channel networks through the newly developed fine trenches. Moreover, for commonly used satellite data, the spatial resolution of 3–30 m is required to characterize the details of SPM distribution, and the observation frequency of at least 1/1d is necessary to capture monthly change pattern of SPM, which demonstrated that SD imagery has great potential for monitoring SPM or other parameters in high-turbidity, strong-dynamic and small-scale waters.http://www.sciencedirect.com/science/article/pii/S1470160X25001876SuperDoveSuspended particulate matterYellow River EstuaryTidal channelsTemporal and spatial resolution |
| spellingShingle | Peng Li Shenliang Chen Congliang Xu Wenjuan Wu Jiarui Qi Yinghai Ke Hongyu Ji Shihua Li Xiaojing Zhong Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels Ecological Indicators SuperDove Suspended particulate matter Yellow River Estuary Tidal channels Temporal and spatial resolution |
| title | Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| title_full | Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| title_fullStr | Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| title_full_unstemmed | Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| title_short | Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| title_sort | advantages and potentials of superdove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels |
| topic | SuperDove Suspended particulate matter Yellow River Estuary Tidal channels Temporal and spatial resolution |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25001876 |
| work_keys_str_mv | AT pengli advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT shenliangchen advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT congliangxu advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT wenjuanwu advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT jiaruiqi advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT yinghaike advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT hongyuji advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT shihuali advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels AT xiaojingzhong advantagesandpotentialsofsuperdoveimageryforfinemonitoringofsuspendedparticulatematterinestuariesandtidalchannels |