---
title: "Predicting deep-water temperature from satellites — Tanuj Dargan"
description: "Can surface observations from satellites stand in for expensive deep-water sensors when monitoring coastal change?"
canonical: https://tanujdargan.com/research/ocean-sensing
resume: on request
updated: 2026-11-07
---

# Predicting deep-water temperature from satellites

- Author: Tanuj Dargan (https://tanujdargan.com/)
- Where: SOLIDS Lab, UVic · Dr. Navneet Popli
- When: 2025
- Tags: remote sensing, multimodal, NRC
- Web page (with live demo): https://tanujdargan.com/research/ocean-sensing

> Scope: the interactive ocean demo on the web page is illustrative. The only measured result is R² = 0.936.

## Question

Can surface observations from satellites stand in for expensive deep-water sensors when monitoring coastal change?

## Method

- Multimodal model on Ocean Networks Canada sensor data plus satellite imagery.
- Validated against real-world sensor readings with the National Research Council Canada.

## Results

- R² = 0.936 for satellite-to-deep-water temperature prediction. Frameworks delivered to NRC Canada.

## Next

- Uncertainty estimates per prediction, so a monitoring team knows when to trust the satellite and when to send a sensor.

---

Profile: https://tanujdargan.com/index.md · Resume: on request (https://tanujdargan.com/#resume or dargantanuj@gmail.com) · All write-ups: https://tanujdargan.com/llms.txt