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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
136б |
| 1 |
75б |
| 1.1 Landsat5_Image.zip |
64.07Мб |
| 1.1 QGIS_intallation_01042020.pdf |
651.56Кб |
| 1.2 Practical_1_QGIS_interface.pdf |
876.83Кб |
| 1. Computer Set up for GIS analysis and GIS software on the market.mp4 |
68.52Мб |
| 1. Computer Set up for GIS analysis and GIS software on the market.srt |
14.37Кб |
| 1. Extra Training data collection for image classification based on Landsat images.mp4 |
309.26Мб |
| 1. Extra Training data collection for image classification based on Landsat images.srt |
24.74Кб |
| 1. Introduction.mp4 |
13.95Мб |
| 1. Introduction.srt |
4.13Кб |
| 1. Introduction to Machine Learning.mp4 |
93.51Мб |
| 1. Introduction to Machine Learning.srt |
18.38Кб |
| 1. Object detection in GIS.mp4 |
37.33Мб |
| 1. Object detection in GIS.srt |
6.97Кб |
| 1. On regression in GIS.mp4 |
29.27Мб |
| 1. On regression in GIS.srt |
4.43Кб |
| 1. Project assignment.mp4 |
70.20Мб |
| 1. Project assignment.srt |
6.57Кб |
| 1. Supervised and Unsupervised Learning (classification) in GIS and Remote Sensing.mp4 |
71.42Мб |
| 1. Supervised and Unsupervised Learning (classification) in GIS and Remote Sensing.srt |
11.71Кб |
| 1. Supervised classification with Google Earth Engine.mp4 |
271.17Мб |
| 1. Supervised classification with Google Earth Engine.srt |
17.64Кб |
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171.80Кб |
| 11 |
230.50Кб |
| 12 |
122.44Кб |
| 13 |
591.70Кб |
| 14 |
819.67Кб |
| 15 |
494.74Кб |
| 16 |
954.29Кб |
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954.29Кб |
| 18 |
173.59Кб |
| 19 |
538.04Кб |
| 2 |
682б |
| 2.1 Bonn_2019_July_S2.tif |
7.82Мб |
| 2.1 Lab1_GEE_import_data.pdf |
327.48Кб |
| 2.1 Resources_17062020.pdf |
221.57Кб |
| 2.1 Training_Landsat5.zip |
46.19Кб |
| 2.2 Landsat5_Image.zip |
64.07Мб |
| 2. ArcGIS Software for regression analysis.mp4 |
21.84Мб |
| 2. ArcGIS Software for regression analysis.srt |
3.66Кб |
| 2. BONUS.mp4 |
5.92Мб |
| 2. BONUS.srt |
1.33Кб |
| 2. GIS explained.mp4 |
31.55Мб |
| 2. GIS explained.srt |
6.41Кб |
| 2. Import images and their visualization in Google Earth Engine.mp4 |
141.91Мб |
| 2. Import images and their visualization in Google Earth Engine.srt |
12.21Кб |
| 2. Installing QGIS.mp4 |
86.77Мб |
| 2. Installing QGIS.srt |
13.77Кб |
| 2. Lab image classification in QGIS.mp4 |
48.06Мб |
| 2. Lab image classification in QGIS.srt |
4.37Кб |
| 2. On Machine Learning in GIS and Remote Sensing.mp4 |
51.12Мб |
| 2. On Machine Learning in GIS and Remote Sensing.srt |
10.03Кб |
| 2. Segmentation and object-based image analysis (OBIA).mp4 |
51.47Мб |
| 2. Segmentation and object-based image analysis (OBIA).srt |
5.84Кб |
| 2. Unsupervised (K-means) image analysis in QGIS.mp4 |
58.83Мб |
| 2. Unsupervised (K-means) image analysis in QGIS.srt |
5.33Кб |
| 20 |
899.03Кб |
| 21 |
25.84Кб |
| 22 |
962.00Кб |
| 23 |
341.48Кб |
| 24 |
937.16Кб |
| 25 |
683.88Кб |
| 26 |
460.59Кб |
| 27 |
748.28Кб |
| 28 |
424.40Кб |
| 29 |
161.04Кб |
| 3 |
92б |
| 3.1 Classification_OTB.zip |
3.86Мб |
| 3.1 Data_Regression_Kaz.zip |
6.52Кб |
| 3.1 Lab2_GEE_kmeans.pdf |
330.12Кб |
| 3.1 OTB Installation Guide_udemy_240320.pdf |
794.07Кб |
| 3.2 OLS_Kaz_2.pdf |
63.26Кб |
| 3.2 RF_OTB classification_practical.pdf |
963.64Кб |
| 3. Exploring QGIS interface.mp4 |
155.09Мб |
| 3. Exploring QGIS interface.srt |
10.17Кб |
| 3. Introduction to Remote Sensing definition.mp4 |
24.59Мб |
| 3. Introduction to Remote Sensing definition.srt |
6.13Кб |
| 3. Lab Use regression analysis in ArcGIS.mp4 |
166.03Мб |
| 3. Lab Use regression analysis in ArcGIS.srt |
28.38Кб |
| 3. OTB installation.mp4 |
10.93Мб |
| 3. OTB installation.srt |
2.41Кб |
| 3. Random Forest supervised classification of Sentinel-2 image.mp4 |
248.84Мб |
| 3. Random Forest supervised classification of Sentinel-2 image.srt |
27.48Кб |
| 3. Segmentation of high-resolution satellite image.mp4 |
141.26Мб |
| 3. Segmentation of high-resolution satellite image.srt |
10.42Кб |
| 3. Unsupervised (K-means) image analysis in Google Earth Engine.mp4 |
103.76Мб |
| 3. Unsupervised (K-means) image analysis in Google Earth Engine.srt |
9.75Кб |
| 30 |
54.10Кб |
| 31 |
68.03Кб |
| 32 |
184.01Кб |
| 33 |
85.28Кб |
| 4 |
617б |
| 4.1 DT_OTB classification_practical.pdf |
737.10Кб |
| 4. A power of QGIS - QGIS Plug-ins.mp4 |
99.63Мб |
| 4. A power of QGIS - QGIS Plug-ins.srt |
7.79Кб |
| 4. Decision Trees classification of Sentinel-2 image.mp4 |
209.98Мб |
| 4. Decision Trees classification of Sentinel-2 image.srt |
19.01Кб |
| 4. Introduction to Remote Sensing applications.mp4 |
80.88Мб |
| 4. Introduction to Remote Sensing applications.srt |
8.34Кб |
| 4. Prediction in GIS and deep learning for Big Data Analysis.mp4 |
39.08Мб |
| 4. Prediction in GIS and deep learning for Big Data Analysis.srt |
9.12Кб |
| 5 |
235б |
| 5. Accuracy Assessment.mp4 |
50.97Мб |
| 5. Accuracy Assessment.srt |
13.16Кб |
| 5. Lab Sign In to Google Earth Engine.mp4 |
45.67Мб |
| 5. Lab Sign In to Google Earth Engine.srt |
4.45Кб |
| 6 |
518б |
| 6. Support Vector Machine (SVM) supervised classification of the satellite imagery.html |
173б |
| 7 |
98.85Кб |
| 8 |
26.42Кб |
| 9 |
47.19Кб |
| TutsNode.com.txt |
63б |