Published September 3, 2024 | Version v1
Dataset Open

Time series of turbidity in Northern Patagonia using the Nechad algorithms (v2009 and v2016) at 665 nm. Time series 2016-2020.

  • 1. Universidad Católica de la Santísima Concepción (UCSC)
  • 2. Universidad de Las Américas (UDLA)
  • 3. ROR icon Universidad Católica de la Santísima Concepción
  • 4. ROR icon Universidad de Las Américas
  • 5. University of Valencia
  • 6. ROR icon Universitat de València
  • 7. Universidad Adolfo Ibanez Campus Viña Del Mar

Description

Time series of turbidity in Northern Patagonia using the Nechad algorithms (v2009 and v2016) at 665 nm. Time series 2016-2020.

Our study aimed to evaluate the spatio-temporal variability of turbidity from Sentinel-2 (S2) images in the Reloncaví sound and fjord, in Northern Patagonia, Chile, a coastal ecosystem that is intensively used by finfish and shellfish aquaculture. To this end, we downloaded 123 S2 images and assembled a five-year time series (2016-2020) covering five study sites (R1 to R5) located along the axis of the fjord and seaward into the sound. We used Acolite to perform the atmospheric correction and estimate turbidity with two algorithms proposed by Nechad et al. (2009, 2016 Nv09 and Nv16, respectively).

Columns (R) represent the spatial distribution of study sites (see Figure 2).

Link: https://doi.org/10.1016/j.ecoinf.2024.102814

For more information see materials and methods.

Nv2009 or Nv09 are the results obtained for the Nechad algorithm version 2009. Similar to Nv2016 or Nv16 are the results obtained for the Nechad algorithm version 2016.

Files

Matchup_instu_Nechad_v09_v16.csv

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Additional details

Related works

Is published in
Journal article: 10.1016/j.ecoinf.2024.102814 (DOI)

Dates

Submitted
2024-09-03
Dataset