Update README.md

Author: robmarkcole

README.md

@@ -449,8 +449,6 @@ Note that deforestation detection may be treated as a segmentation task or a cha
 
 - [Automatic Flood Detection from Satellite Images Using Deep Learning](https://medium.com/@omercaliskan99/automatic-flood-detection-from-satellite-images-using-deep-learning-f14fafd369e0)
 
-- [UNSOAT used fastai to train a Unet to perform semantic segmentation on satellite imageries to detect water](https://forums.fast.ai/t/unosat-used-fastai-ai-for-their-floodai-model-discussion-on-how-to-move-forward/78468)
-
 - [Semi-Supervised Classification and Segmentation on High Resolution Aerial Images - Solving the FloodNet problem](https://sahilkhose.medium.com/paper-presentation-e9bd0f3fb0bf)
 
 - [Houston_flooding](https://github.com/Lichtphyz/Houston_flooding) -> labeling each pixel as either flooded or not using data from Hurricane Harvey. Dataset consisted of pre and post flood images, and a ground truth floodwater mask was created using unsupervised clustering (with DBScan) of image pixels with human cluster verification/adjustment