I'm Brett Cooper with the Stock Assessment Program at PIFSC. I often work on bycatch data for the longline fleets. I'm hoping to sync up some AIS data I found for longline fishing vessels with satellite data for surface wind and current. I would like to feed the results into a CNN to see if the data is helpful in predicting when a vessel is fishing. Eventually, I'd like to get the VMS data for the longline fleet to try to determine when a ship is setting or hauling gear, but I currently don't have that data.

Aloha! This is Jenny Stahl. My project is to create habitat maps for blue and striped marlin by matching tag tracks for individual animals to satellite data.

Amanda Bradford here - I don't have a specific work project related to satellite data yet, so am going basic by overlaying satellite data onto locations of satellite-tagged pelagic false killer whales.

My goal for this week is to learn how to download and work with satellite data such as SST and Chl-a. I would like to also calculate DHW using the SST data. I'll be pulling data for each of the sites that were surveyed during the 2019 coral bleaching event. I will then incorporate these environmental variables into my bleaching drivers analysis.

I'm an economist working at ESD.  I want to download some environmental data and merge with the Hawaii longline fishery logbook data at set level, so that I can perform analysis of climate change impacts on the fishery.

Hey everyone! I'm hoping to draw SST data from around the US Pacific Remote Island Areas to compare bleaching stress during the 2015-2016 bleaching event. This data stream may be a good one where anomalies may be more useful, so I hope to explore that - calculating degree heating weeks? I want to determine the amount of bleaching stress exposed to each island (of the 5) to see if they are different, and if so, just how different.

Kaylyn McCoy - hoping to look at wind and current data that overlap with buoy tracks for satellite tagged nets in the Northwestern Hawaiian Islands. DATA SOURCES: I found 2 wind sources but I don't know what the differences are - CCMP or ASCAT (both daily ocean surface winds). I don't know what data to use for currents - I found data for the Main Hawaiian Islands, but not for the NWHI. Does anyone who works with current data have a suggestion for which dataset to use?

Don Kobayashi -- My plan for this week is to use the nifty ERDDAP url approach to download as many environmental datasets I can find for summarization over the Mariana LME spatial domain. Unsure of what manner of visuals to make at this point in time, but am thinking that some time series plots might be useful for our LME document currently being drafted. 

I would like to download long-term time series data on SST for several reefs across the Pacific where we monitor coral reefs and also deploy in situ oceanographic instruments. My goal will be to compare trends in SST between the surface waters between these reefs.

I'm Christina Coppenrath and I work with the Marine Turtle Biology and Assessment Program in the Protected Species Division. I began working with the program as a Field Camp Research Assistant collecting data on the nesting population of Hawaiian green turtles at French Frigate Shoals. I am excited for the opportunity to strengthen my skillsets in R and ArcGIS while exploring what environmental factors could be affecting some of the reproductive patterns we see in this population. Previous studies in other marine turtle populations have linked reproductive migration patterns to oceanographic factors and resource availability. My goal is to work with Marylou to identify environmental predictors (if any) preceding a nesting season that are correlated to the number of nesters observed at FFS. 

I am Eva Schemmel and work at PIFSC in the Life History Program. My project is to get meaningful environmental variables across the Mariana Archipelago to add to our spatial variability in life history (age, growth, and reproduction) models for bottomfish and reef fish. At this point I am looking to get familiar with the data available and how to stream-line this process in R. 

This is Jenny Stahl. My project is to create habitat maps for blue and striped marlin by matching tag tracks for individual animals to satellite data.

I think that the Multiscale Ultra-high Resolution (MUR) SST dataset would be the best option for this project and defining habitat. This data is at a 1 km scale spatial scale and is available on a daily temporal scale. Although, this dataset will be large, the data could just be extracted for the particular days that we have marlin tracking data. The daily temporal and 1 km spatial scale would allow for better matching of the tag track of the animal to the habitat used by the animal. This may be important in determining features used such as small-scale eddies. Also these animals can travel pretty far and quickly so I think the 1 km spatial scale is preferred. 

Hi, I'm Jessica, I also don't have a specific work project that relates to satellite data so I am trying to use some data that I have access to from our MOUSS camera drop sites. I am thinking of looking at chl a as a metric of productivity but because all our sites are pretty deep I am not sure how much of a correlation that will have. I was also thinking of looking at wind speed that could effect the distribution of commercial fishing efforts that affect the population abundance but I am not really sure where I could get commercial fishing effort data. Open to ideas.

Hi Bernardo Vargas-Angel at NOAA, PIFSC, Ecosystem Sciences Division. My immediate interest is to explore whether SST (and derived products) and Chla play a role helping drive the benthic structural differences we see between the US Pacific island regions; i.e., American Samoa, Main Hawaiian Is, NW Hawaiian Is, Pacific Remote Islands, and Guam and the Mariana Is.

Aloha!  My name is Frances and I work in PIFSC Fisheries Research and Monitoring Division.  I don't have a specific work project related to satellite data so I'm going to download some animal telemetry data from ERDDAP and overlay that to some satellite data.

I would like to focus my project on associating site specific fish, benthic, and coral composition with Chlorophyll-a data among the Pacific Remote Island Areas. I mostly am looking forward to learning more about ERDDAP and other programs and sites to analyze spatial data with R. It looks like I will be using the 

 dataset, as it provides the least amount of gaps, especially in considering nearshore remote Island regions. The Aqua MODIS monthly that spans my data years (2010-2018) has simply too much gaps in the data, especially around Kingman and Palmyra Atolls.

My goal for the course is to get some experience with using the tools to find and gather satellite data in various formats and interacting with satellite data in a the R environment.  My project involves characterizing benthic cover change in the Marianas and looking at associations with environmental variables. So, I'd like to (1) explore variation in chlorophyll A data through time and across the latitudinal gradient of the Archipelago; (2) link with our survey data to understand whether we are surveying at representative locations and times; (3) looking for associations with macroalgal cover (at a more restricted spatial subset of the data).  

Looking to generate estimates of mean SST, some type of SST anomaly metric, and mean chla around 34 islands/atolls in the Pacific.  The intent is to see if these metrics correlate with spatial variation in the benthic cover of reefs at these islands.