Python Script for collocating sensor data with Sentinel-5
Budget: $110 – $260 USD
I am seeking a developer or researcher to create a simple script for spatio-temporal collocation between ground-based sensors and Sentinel-5 NO2 data. The primary goal of the script is to help us prepare the pipelines for statistical linkage of ground-based observations and satellites
This is a relatively simple task for those who have such competencies
We provide
- Links to our sensor data so you comprehend the format
- Guidelines on what Sentinel-5 data we need
- Technical task description
Output
- Python script that can collocate our sensors in spatio-temporal scales with Sentinel-5
- You can do it using example of one sensor only, we will scale it up
- The script should be able to have customizable temporal collocation: hour, day, month (averages), year
- Same about spatial scales, we should be able to set collocation criteria like 1 or 2 km to sensors
This is a relatively simple task for those who have such competencies
We provide
- Links to our sensor data so you comprehend the format
- Guidelines on what Sentinel-5 data we need
- Technical task description
Output
- Python script that can collocate our sensors in spatio-temporal scales with Sentinel-5
- You can do it using example of one sensor only, we will scale it up
- The script should be able to have customizable temporal collocation: hour, day, month (averages), year
- Same about spatial scales, we should be able to set collocation criteria like 1 or 2 km to sensors