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Contributor : Mehraz Hossain Rumman (he/him)
Organization : IOOS
Project Title : PyOBIS for stakeholders
Mentor : Tylar Wayne Cole Murray, PhD. (ey/em|he/him)
GSoC Project Page: https://summerofcode.withgoogle.com/programs/2025/projects/Af6KBBl2

---

Introduction

Through collaboration between NOAA IOOS and the Google Summer of Code, the PyOBIS Python client has been enhanced and its utility has been demonstrated through real-world marine biodiversity analysis.

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var image = ee.Image('...Image Asset Path Here...')
var sunglintRegions = geometry;  // this is a geometry of sunglinted areas

// Select the bands
var NIR = image.select('b8');  // NIR

var minNIR = NIR.reduceRegion({
  reducer: ee.Reducer.min(),
  geometry: NIR.geometry(),
  scale: 4,

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2025-07-16 13:33:47.371 | INFO     | planktoscope.mqtt:on_message:150 - segmenter_client: segmenter/segment 0 b'{"action":"segment","path":["/home/pi/data/img/sfer_mbon_ws16130_ws_200um_20160510_real","/home/pi/data/img/sfer_mbon_ws16207_ws_200um_20160726"],"settings":{"force":false,"recursive":true,"ecotaxa":true,"keep":true,"process_id":1}}'
2025-07-16 13:33:47.371 | DEBUG    | planktoscope.mqtt:on_message:154 - command is segment
2025-07-16 13:33:47.371 | DEBUG    | planktoscope.mqtt:on_message:157 - args are {'action': 'segment', 'path': ['/home/pi/data/img/sfer_mbon_ws16130_ws_200um_20160510_real', '/home/pi/data/img/sfer_mbon_ws16207_ws_200um_20160726'], 'settings': {'force': False, 'recursive': True, 'ecotaxa': True, 'keep': True, 'process_id': 1}}
2025-07-16 13:33:47.371 | DEBUG    | planktoscope.mqtt:on_message:159 - msg is {'topic': 'segmenter/segment', 'payload': {'action': 'segment', 'path': ['/home/pi/data/img/sfer_mbon_ws16130_ws_200um_20160510_real', '/home/pi/data/img/sfer_mbon_ws16207_ws_200u

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    original.analyte.name == "Ammonium"                                    ~ "Ammonium",

    original.analyte.name == "Ammonia__N_"                                 ~ "Ammonia",

    original.analyte.name == "Chlorophyll_a"                               ~ "Chlorophyll_a",
    original.analyte.name == "Chlorophyll_a-_uncorrected"                  ~ "Chlorophyll_a",
    original.analyte.name == "Chlorophyll_a__uncorrected_for_pheophytin"   ~ "Chlorophyll_a"
    original.analyte.name == "Chlorophyll_a__free_of_pheophytin"           ~ "Chlorophyll_a",
    original.analyte.name == "Chlorophyll_a-_corrected"                    ~ "Chlorophyll_a",
    original.analyte.name == "Chlorophyll_a__corrected_for_pheophytin"     ~ "Chlorophyll_a",

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graph TD

subgraph st_andrew_assets_folder
    roi_hab1(seagrass)
    roi_hab2(sand)
    roi_hab3(etc...)
end

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import re

def canonical_station_name(station_name):
    station_aliases = {
        "1": ["1"],
        "2": ["2"],
        "3": ["3"],
        "4": ["4"],
        "5": ["5"],
        "5.5": ["5.5"],

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# === install java
sudo apt install openjdk-21-jdk -y
# check with `java --version`
# === install mvn
wget https://dlcdn.apache.org/maven/maven-3/3.9.8/binaries/apache-maven-3.9.8-bin.tar.gz
tar -xvzf apache-maven-3.9.8-bin.tar.gz 
sudo mv apache-maven-3.9.8 /opt/apache-maven
sudo sh -c 'echo "export M2_HOME=/opt/apache-maven" > /etc/profile.d/maven.sh'
sudo sh -c 'echo "export MAVEN_HOME=/opt/apache-maven" >> /etc/profile.d/maven.sh'
sudo sh -c 'echo "export PATH=\${M2_HOME}/bin:\${PATH}" >> /etc/profile.d/maven.sh'

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tail data.csv  # command not found in db, test-run, 
[...]
  > clai: no history matches.
  > clai: "tail" bash program found.
  > clai: "data.csv" local file found.
  > clai: "data.csv" new IPFS pin "Qm91njnpjKNGinv90aj".
  > clai: "data.csv"
  > clai: no fuzzy matches.
  > clai: running it.

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// PRVI LST Calc v24
// There are multiple ways to calculate LST
// 1. Cook paper method (directly available from files ("ST_B10" - see below)
// 2. NDVI method (need to add)
// 3. Old method w/atm. coefficients (see below)
// Can we use the Lu and Ld to get LST the old way?
// How to get emissivity and water content?
// 4. Split-window method (will work with LS8?)

// Some functions:

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