A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data

Paulino, Rejane S.; Martins, Vitor S.; Novo, Evlyn M.L.M.; Maciel, Daniel A.; Correia-Lima, Deborah L.; Barbosa, Claudio C.F.; Bonnet, Marie P.; Uhde, Antje

doi:10.1016/j.jhydrol.2023.130156

Cited by 1 publication

(1 citation statement)

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“…Related themes in tropical areas and their influence on communities have been widely discussed using geographic data obtained through remote sensing [1]. 2016 was the era when the PlanetScope satellite was officially launched for the first time [2] and until now it has been widely used for various applications to monitor the earth's surface, such as land cover mapping efficiency [3], hydrological connectivity phenomena [4] and coastal areas [5]. In the coastal sector, several studies have been carried out to test the ability of PlanetScope satellite imagery to obtain shallow water depth information, both empirically [6] and analytically [7].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Empirical Near-Shore Bathymetry Model Using New Emerged PlanetScope Instrument and Sentinel-2 Data in Coastal Shallow Waters

2024

IJG

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Shallow water bathymetric information is important for human life because it has a strong influence on phenomena and dynamics in coastal areas. Conventional bathymetric mapping methods are capable of obtaining high-precision accuracy, but require expensive and complex resources. Specifically, in shallow waters, survey instruments have difficulty obtaining adequate depth data due to the many obstacles that must be overcome. Remote sensing-based shallow water bathymetry called as Satellite-Derived Bathymetry (SDB) is a reasonable and efficient choice. Technological developments enable SDB data processing to be much more efficient in terms of time and storage by utilizing cloud-based platforms such as Google Earth Engine (GEE). Spatial and temporal resolution is still a challenge in SDB, so in this condition PlanetScope with daily temporal resolution capabilities is an optimistic choice. However, this image falls into a relatively new image category. In this study we tested the performance of Sentinel-2A imagery and new PlanetScope imagery bands. The existence of the new sensor owned by PlanetScope allows an increased choice of SDB data sources with high spatial and temporal resolution that is better than the general datasets currently available. There are four additional channels are Coastal Blue, Green I, Yellow, and Red Edge. Assessment is needed to test the capabilities of each new channel using empirical methods via the Stumpf algorithm. Based on accuracy assessment observations, the Sentinel-2A channel combination is still better in terms of accuracy and determination, because it is able to represent the depth in the study area up to 70%. The potential use of PlanetScope's new channels for SDB applications can still be seen in the combination of the Coastal Blue and Yellow channels. This channel combination is still able to represent 47% of the depth variations in the study area.

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Section: Introductionmentioning

confidence: 99%

Assessment of Empirical Near-Shore Bathymetry Model Using New Emerged PlanetScope Instrument and Sentinel-2 Data in Coastal Shallow Waters

2024

IJG

View full text Add to dashboard Cite

show abstract

A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data

Cited by 1 publication

References 60 publications

Assessment of Empirical Near-Shore Bathymetry Model Using New Emerged PlanetScope Instrument and Sentinel-2 Data in Coastal Shallow Waters

Assessment of Empirical Near-Shore Bathymetry Model Using New Emerged PlanetScope Instrument and Sentinel-2 Data in Coastal Shallow Waters

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