Flood mapping using Deep Learning | Attention Unet

The "Flood Mapping Using Deep Learning" KZbin playlist delves into the innovative application of deep learning techniques to effectively map and analyze floods. This comprehensive series explores various methodologies, algorithms, and models employed in the domain of flood mapping, leveraging the power of neural networks and advanced machine learning. From fundamental concepts to advanced strategies, each video in this playlist offers insights into the utilization of deep learning frameworks for flood detection, prediction, and mapping. Viewers will gain a deep understanding of how convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures can process satellite imagery, sensor data, or geographic information system (GIS) data to accurately detect, monitor, and map flood-prone areas. Whether you're a researcher, a data enthusiast, or a practitioner in the field, this playlist serves as a valuable resource for exploring the intersection of deep learning and flood mapping, showcasing its potential impact on disaster management and environmental conservation.
Full playlist: • Flood mapping using De...
Dataset: www.kaggle.com/datasets/faiza...
Notebook: github.com/iamtekson/deep-lea...
Sent12 flood dataset: clmrmb.github.io/SEN12-FLOOD/
Timestamps:
0:00 Intro
0:24 Quick recap on methodology
1:08 Accuracy metrics for image segmentation
2:25 Quick recap on CustomDataGenerator and Attention Unet
4:31 Train and test dataset split
7:18 Accuracy metrics (f1-score, dice score, precision, recall)
8:11 Training attention unet model
11:24 Model evaluation
14:56 Testing model using random images from google
20:18 Outro (Sent12 Flood dataset)
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Check out my discounted courses at the following link:
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1. "Geospatial data analysis with python": www.udemy.com/course/geospati...
2. "Web GIS Development 2021": www.udemy.com/course/web-gis-...
3. "Web mapping and Web-GIS from Dev to Deploy 2021: GeoDjango": www.udemy.com/course/web-mapp...
4. "Introduction to Web Mapping and Web GIS 2020: GeoDjango": www.udemy.com/course/introduc...
5. Deep Learning Application for Earth Observation: www.udemy.com/course/deep-lea...
6. Geospatial Data Analysis with Python: www.udemy.com/course/geospati...
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[@mustafaali7907]

Thanks so much for video

[@geodev]

You are so welcome!

[@random956__]

Hello @GeoDev I wanted to work on making a google maps clone but in an opensource manner. You have deep insights in this field. Can you please help me with a starting point. I would be reallly grateful to receive your advice and guidance on this please Hope you do well❤

[@geodev]

Hi, are you talking about the UI or the full functionality of google map? I think it is very hard to build all the features and also in open source, there are only limited dataset and algorithms. BTW, how did you find this video? since it is unlisted in my channel?

[@random956__]

@@geodev I just briefly wanted to know about the api that can be used and I don't to make the entire clone but minimum functions like distance calculations and stuff. The things that are open-sourced in that regards something by using OSM so any idea in that respect.

[@random956__]

@@geodev And regarding finding this video I just skimmed through your entire channel and found this video get content though would be great if you have apis that can be used or any viable resources.