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Annual sea surface temperature

5.4 Creating an 8-day MERIS composite

Step by step approach     Time interval     Number of days

LESSON 5

Overview

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References:
List of journal references

Downloads:

Images and tools

Lesson
(HTML pages)

Images:

MER_RR_2COLRA 200402~.N1 Description

Download image 1 (29 MB)
Download image 2 (26 MB)
Download image 3 (28 MB)

 
Useful information:

The Benguela Current System

The MERIS product grid.

MERIS level 2 flags

Bitwise operators and Meris flags

Each Level 2 image consists of a single scene taken by MERIS during one satellite overpass. To study how oceanographic phenomena develop with time, you need several images obtained at different times, and covering the same area at the same spatial resolution. Images that are a combination of data from several overpasses mapped to a common grid are usually referred to as Level 3 data, gridded data, or gridded composites.

A step by step approach

To create a gridded composite of MERIS chlorophyll you have to carry out the following main steps:

  1. Select the temporal resolution (the appropriate time interval) for the composite.
  2. Prepare the individual scenes by applying masks to select only valid geophysical data, and calculating chlorophyll concentrations.
  3. Select the area to be covered, the spatial resolution to use, and an appropriate coordinate grid for the new Level 3 image.
  4. Co-register the images by resampling each scene to the chosen grid.
  5. Combine all the scenes to calculate average values for each pixel over the chosen time period and write the result to a new image.

These steps are general and may be applied to data from any satellite sensor. Here you will use the method to create an 8-day composite of MERIS chlorophyll concentrations (algal_1) from the Benguela.

Selecting a time interval

The number of days used to create a composite gives the temporal resolution of the gridded data. It is important that this is appropriate for the features you want to study. This means reconciling two opposing considerations:

  1. The need to make spatial coverage more complete by increasing the time interval used for the gridded composites.
  2. The requirement for a temporal resolution that does not mask important developments in the features of interest, but is in keeping with the time scales on which these features evolve.

For a study of seasonal change a monthly (or even a 3-monthly) composite may be sufficient. Other phenomena, such as eddies, coastal upwelling events or algal blooms change on shorter time scales. Increasing the time interval used for composites beyond a few days is likely to improve image quality, but may well average out some of the changes you want to study.

The minimum number of days

Sensors onboard polar orbiting satellites do not usually have swaths of sufficient width to cover the whole of the Earth’s surface in one day. As a result there are gaps in the daily coverage, particularly at the equator. (figure (13K)).

Unless your study area is at a high latitude with overlapping swaths, you will need to combine images from several consecutive days in order to avoid gaps. This is the case for instance for the Benguela study area (roughly 10 to 40 o S and 10 to 30 o E).

The minimum number of days required to cover a study area fully depends not just on latitude, but also on the swath width of the sensor. For instance: Meris has a wider swath than AATSR, and will therefore need a shorter time period to give full cover of the region of interest.

Question 1.
The interactive pop-up The Benguela study area: MERIS and AATSR coverage shows how the two sensors differ. Use it to help you answer the following questions:

a)

How many days data would you need to get reasonably complete MERIS coverage of the study area?

b)

What is the number of days required for similar coverage by AATSR?

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Answers:
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Answer 1

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Q1  


Is the minimum period sufficient?

The answer to this is not absolute. You may find that the minimum number of days is enough, particularly in areas where skies are fairly cloud free. On the other hand, cloud cover may be such that you may need to combine data from a longer period to make up the composite. Sometimes you may be able to combine data from similar sensors on several satellites, although this also has problems, which we will not enter into here.

In the following sections you will create a MERIS composite from a time period of 3 days, and then an eight day period in order to achieve a better quality image.
 

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Next: Preparing the individual scenes