Seeking Advice on SST and Chlorophyll Data Extraction

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Dear Sir/Madam,

I am a graduate student who is working on seabird tracking data (ARGOS). There are approximately 10,000 tracking locations, with the tracking period spanning from 2016 to 2020.

For my study, I would like to use MODIS Sea Surface Temperature (SST) and Chlorophyll data as environmental covariates. For each bird location, I need to extract the SST and chlorophyll values at the bird’s latitude and longitude from the MODIS corresponding to that specific date.

Because each bird location has its own timestamp and the dataset spans multiple years, manual extraction in GIS is not feasible. I am therefore looking for an R-based workflow that can automatically perform this spatiotemporal matching and extraction. I am also unsure whether it would be more appropriate to use daily products or 8-day composites, and I would greatly appreciate your advice on this point as well.

I am a beginner in R and GIS. If anyone happens to have example R code, a GitHub repository, or other resources that could help with this type of time-matching extraction, I would be deeply grateful. Even a short pointer or recommendation or piece of advice would be extremely helpful for my master’s thesis.

Thank you very much for your consideration.

[OB ScienceSW - jlindo1]

Hello,

Perhaps these two links will be of help.

https://www.earthdata.nasa.gov/data/tools/earthdata-search

https://www.earthdata.nasa.gov/learn/tutorials/spatial-temporal-advanced-filtering-nasa-earthdata-search

Best of luck!