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Table 4 Comparison of in-situ and remote-sensing data regarding spatial and temporal conditions, costs, logistics, and confidence in data retrieval

From: Combining in-situ water quality and remotely sensed data across spatial and temporal scales to measure variability in wet season chlorophyll-a: Great Barrier Reef lagoon (Queensland, Australia)

Source data

Spatial resolution

Coverage

Temporal frequency

Costs

Data type

Logistics

Degree of confidence

In-situ chl-a data

100–5,000 m

Punctual

High (daily) to low (annually)

High

Qa

- Vessels required

Very high

- Dependence of weather: high

Remote sensing – MODIS TC

1,000 m; 500 m; 250 m

Synoptic

High (daily or 2/day)

Low: Satellite images; free

Qa

- Computer and informatic scripts to automate the production of TC data

Moderate to high if remotely sensed data are calibrated/validated with in-situ information

- Dependence of weather: moderate; mapping is possible under moderate cloud cover and with sun glint

Computer and software

Remote sensing – MODIS level 2 chl-a products

1,000 m

Synoptic

High (daily or 2/day)

Low: satellite images; free

Ql (Qa if combined with in-situ data)

- Computer and informatic scripts to automate the production of TC data

Low to high if remotely sensed data are calibrated/validated with in-situ information

Computer and software

- Dependence of weather: very high; no valid information under cloud cover or sun glint

Combined in-situ and TC imagery

1,000 m; 500 m; 250 m

Synoptic

High (daily or 2/day)

High in-situ costs

Qa

- Computer and informatic scripts to automate the production of TC data

Moderate to high if remotely sensed data are calibrated/validated with in-situ information

Satellite images: free

- Dependence of weather: moderate; mapping is possible under moderate cloud cover and with sun glint

    

Computer and software

   
  1. Chl-a = chlorophyll-a, Qa = quantitative, Ql = qualitative, TC = true colour.