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Udemy Geospatial Ai Deep Learning For Satellite Imagery

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Uploader:

freecoursewb

Source:

1337x

Downloads:

3

Type:

Tutorials

Language:

English

Category:

Other

Size:

3.2 GB

Added:

Sept. 25, 2025, 11:35 p.m.

Peers:

Seeders: 2, Leechers: 38 (Last updated: 6 months, 2 weeks ago)

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Files:

Get Bonus Downloads Here.url 180 bytes
1 - Welcome and Course Overview.html 6.0 KB
2 - Introduction to Geospatial Analysis.mkv 127.2 MB
3 - Introduction to Artificial Intelligence.mkv 17.7 MB
4 - Why Python is the Top Choice for AI.mkv 13.8 MB
5 - Overview of Deep Learning in Geospatial Applications.mkv 124.2 MB
6 - StepbyStep Guide to GPU Setup.mkv 172.7 MB
10 - Running PyTorch Models in the Cloud.mkv 61.0 MB
11 - Saving and Sharing Colab Notebooks.mkv 78.4 MB
7 - Introduction to Goggle Colab.mkv 36.9 MB
8 - Setting Up Google Colab for AI Projects.mkv 78.5 MB
9 - Running TensorFlow Models in the Cloud.mkv 83.9 MB
12 - Calculating Geospatial Indices.mkv 104.8 MB
13 - Import and Clean Datasets in Jupyter Notebook with Pandas.mkv 129.9 MB
14 - Calculate-zonal-statistics-1.ipynb 5.9 KB
14 - Chirps-Erbil.tif 9.0 KB
14 - Conducting Zonal Statistics in Python.mkv 53.4 MB
15 - Image-Preprocessing-for-Deep-Learning.ipynb 6.3 KB
15 - Preprocessing Real Sentinel2 Imagery for Deep Learning.mkv 113.7 MB
16 - Integrating Google Earth Engine for Data Pipelines.mkv 71.5 MB
16 - Integrating-Google-Earth-Engine-for-Data-Pipelines.ipynb 5.0 KB
17 - Working with LargeScale Geospatial Data.mkv 134.7 MB
17 - Working-with-Large-Scale-Geospatial-Data.ipynb 8.0 KB
Center_Erbil.cpg 5 bytes
Center_Erbil.dbf 1.7 KB
Center_Erbil.prj 145 bytes
Center_Erbil.sbn 132 bytes
Center_Erbil.sbx 116 bytes
Center_Erbil.shp 3.5 KB
Center_Erbil.shp.DESKTOP-U07KOO1.15896.13176.sr.lock 0 bytes
Center_Erbil.shx 108 bytes
Erbil_Admi_3.cpg 5 bytes
Erbil_Admi_3.dbf 20.5 KB
Erbil_Admi_3.ebb 872 bytes
Erbil_Admi_3.ed1 24.0 KB
Erbil_Admi_3.eq1 208 bytes
Erbil_Admi_3.prj 143 bytes
Erbil_Admi_3.qpj 257 bytes
Erbil_Admi_3.qtr 136 bytes
Erbil_Admi_3.sbn 324 bytes
Erbil_Admi_3.sbx 132 bytes
Erbil_Admi_3.shp 41.9 KB
Erbil_Admi_3.shx 268 bytes
18 - Introduction to CNNs for Satellite Imagery Analysis.mkv 150.7 MB
19 - Crop-Health-Using-RS-data-and-Neural-Networks.ipynb 67.2 KB
19 - Designing a CNN Model for Crop Health Classification.mkv 124.8 MB
20 - Visualizing AI Model Performance.mkv 178.0 MB
20 - Visualizing-ML-Model-Performance.ipynb 69.5 KB
20 - crop-health.csv 32.8 KB
21 - Evaluating models Accuracy precision recall and crossvalidation.mkv 48.9 MB
21 - Evaluating-Models-Accuracy-Precision-Recall-and-Cross-Validation.ipynb 4.5 KB
21 - crop-health.csv 32.8 KB
22 - Hyperparameter Tuning with Grid Search and Random Search in Python.mkv 113.7 MB
22 - Hyperparameter-Tuning-with-Grid-Search-and-Random-Search.ipynb 8.2 KB
22 - crop-health.csv 32.8 KB
DrnMppr-DEM-AOI.tif 17.1 MB
DrnMppr-DTM-AOI.tif 8.6 MB
DrnMppr-ORT-AOI.tif 119.6 MB
aoi.cpg 5 bytes
aoi.dbf 252 bytes
aoi.prj 384 bytes
aoi.shp 316 bytes
aoi.shx 108 bytes
dem.tif 17.1 MB
dtm.tif 8.6 MB
ortho.tif 119.6 MB
plant_count.cpg 5 bytes
plant_count.dbf 261 bytes
plant_count.prj 384 bytes
plant_count.shp 316 bytes
plant_count.shx 108 bytes
plots_1.cpg 5 bytes
plots_1.dbf 5.0 KB
plots_1.prj 384 bytes
plots_1.shp 24.8 KB
plots_1.shx 1.1 KB
plots_2.dbf 4.3 KB
plots_2.prj 384 bytes
plots_2.shp 15.3 KB
plots_2.shx 748 bytes
23 - Building a Convolutional Neural Network for Image Classification.mkv 211.8 MB
23 - CNNs-LULC-Classification-EuroSAT-Azad-Rasul.ipynb 813.5 KB
24 - Building an AI Model for Crop Health Analysis.mkv 124.9 MB
24 - Crop-Health-Using-RS-data-and-Neural-Networks.ipynb 67.2 KB
25 - Detecting-and-Counting-Plants-Using-Computer-Vision-Techniques.ipynb 1.3 MB
25 - Plant Counting with Computer Vision Techniques.mkv 170.1 MB
26 - 1.1-FourCastNet-A-practical-introduction-to-a-state-of-the-art-deep-learning-global-weather-emulator.ipynb 1.7 MB
26 - 1.2-FourCastNet-Added-Iraq.ipynb 2.3 MB
26 - Applying Deep Learning for Global Weather Emulation with FourCastNet.html 1.8 KB
27 - Validating Biomass Predictions with Ground Truth.mkv 159.0 MB
27 - Validation-with-Ground-Truth-Biomass-Focus.ipynb 159.3 KB
DrnMppr-DEM-AOI.tif 17.1 MB
DrnMppr-DTM-AOI.tif 8.6 MB
DrnMppr-ORT-AOI.tif 119.6 MB
aoi.cpg 5 bytes
aoi.dbf 252 bytes
aoi.prj 384 bytes
aoi.shp 316 bytes
aoi.shx 108 bytes
dem.tif 17.1 MB
dtm.tif 8.6 MB
ortho.tif 119.6 MB
plant_count.cpg 5 bytes
plant_count.dbf 261 bytes
plant_count.prj 384 bytes
plant_count.shp 316 bytes
plant_count.shx 108 bytes
plots_1.cpg 5 bytes
plots_1.dbf 5.0 KB
plots_1.prj 384 bytes
plots_1.shp 24.8 KB
plots_1.shx 1.1 KB
plots_2.dbf 4.3 KB
plots_2.prj 384 bytes
plots_2.shp 15.3 KB
plots_2.shx 748 bytes
28 - Course Summary and Key Takeaways.html 5.7 KB
29 - Next Steps and Additional Resources.html 8.3 KB
Bonus Resources.txt 70 bytes

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