Above Ground Biomass Prediction using Deep Learning Regression with Earth Engine and Tensorflow
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- Опубликовано: 11 окт 2024
- Hi Geospatial Enthusiast!
Would you like to predict the whole region AGB (Above Ground Biomass) with your field sample data? I will show you how on Earth Engine and Tensorflow (Keras) in this video.
GEE Script: code.earthengi...
Colab script: colab.research...
I will use Landsat composite imagery on a West Kalimantan, Indonesia region. Then I will produce multiple spectral indices as additional variables. I am also adding the elevation data from SRTM as variables. All of the variables are scaled to 0 - 1 because it is much easier for deep learning to learn using that scale.
I am using a simple dense layer to help with the regression. Also in the Earth Engine, I am using the random forest regression to predict AGB too.
I hope this video helps with your project and research.
Email: ramiqcom@gmail.com
Linkedin: / ramiqcom
GitHub: github.com/ram...
Super useful. Thanks a lot for making this.
This is very nice, thank you for the good work🙏🙏🙏
Thank you very much for sharing code. ❤❤❤
thank you very much for sharing your code it is so kindfull my dear
Hi !!! Great Series of videos. I am trying to do the same for a different area, but I get the error : no valid training date was found, training data is specific for the region? should I get the my own training data? where can i get should I upload it? Thanks
Very meaningful video. Keep it up bro.
I have a request bro, can you please make a video about specific crop identification like wheat or rice crops with help of CNN ?
Idk how. Need to learn the methodology first.
Great bg, thanks for sharing this code🙏
Hello, Please guide me in predicting deforestation for two or three separate polygons. How to calculate and visualize this busy code after that? Thank you for this channel
Possible but you need to learn GEE and programming first better
hi Ramadhan, I have a question regarding how you arrange your sampled data before upload it as asset..I am new to GEE. I already uploaded my sample data, however when it's already exported as csv, the csv sheet turns out blank. So i think it's because my sample. Hope you can help me. Thank you in advance and thank you so much for the good work, keep it up!
Hmm, how do you export it? what variable did you use?
thank you so much
I have a question:
In the code used there is: FEATURES = ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'EVI', 'NBR', 'NDMI', 'NDWI' ', 'NDBI', 'NDBaI', 'elevation']
What does this data represent? Is it tif? Or is it vector?
It is a list of band names. In GEE, it is an ee.Image. like tiff.
Thank you for your answer
I have a question about the SAMPLE_PATH. Why are there no coordinates for every point in it? If I have coordinates of points, how can I write code to deal with them?
Another question: Why did you use the number 450?
Thank you@@ramiqcom
@@ramiqcom how you create csv data, means image to csv ?
It's possible to use GEDI Biomass data in sample asset?
very nice,,,, sir what is the model name....and how to set the 450 value in the code..
Which one?
Please make it tutorial about deep learning for AGB with sentinel 2
Just change the satellite data. Its the same pipeline
Why did you convert the SRTM data values into natural logarithm?
To make it to 0-1 range
Why the differences in the R2?? from the chart to the printed out one
Different algorithm
I mean, using the algorithm in GEE(RF), you have two R2. The first one in the scatterplot chart with the regression, and the other one is printed in the console. Both are calculated based on the same linear regression.
@@alejandrofonseca3884 which one? there is only one
How can use this for Sentinel 1 and 2?
Use Sentinel data
where i can get file SampleAGB.csv?
Export from GEE
have you calculated indices values for individual sample plots wrt to agb values??? can you explain that ?@@ramiqcom
I have a request bro, can you please uploading you sample 'projects/ee-ramiqcom-training/assets/agb'
I thought I already had?