Geospatial Data Analyses & Remote Sensing: 5 Classes in 1

سرفصل های دوره

Learn Remote Sensing, QGIS & GIS , main concepts, machine learning, QGIS classification, change detection, Earth Engine

1 - Introduction to the course GIS and Remote Sensing

1 - Introduction to the course

2 - Applications of GIS

3 - Definition of GIS

4 - Applications of Remote Sensing

5 - Definition of Remote Sensing

2 - Software used in this course

6 - About opensource QGIS software

6 - Software-to-use-for-the-course-2019.pdf

7 - QGIS version information

8 - Lab QGIS installation

8 - Practical-1-2.zip

8 - Practical-1-Interface-of-QGIS.pdf

9 - SemiAutomatic Classification Plugin for QGIS

10 - Lab QGIS interface

11 - Lab QGIS Toolbars

12 - OTB installation

12 - OTB-Installation-Guide-udemy-240320.pdf

13 - Lab Creating account in Google Earth Engine

3 - Basics of GIS

14 - Main principles of GIS

15 - Basics of Geodata and its main types

16 - GIS software and your PC set up

17 - Lab Your First GIS Map in QGIS

17 - Materials.zip

4 - Introduction to Remote Sensing theory

18 - Sensors and Platforms

19 - Introduction to digital images

20 - Download-images-SCP.pdf

20 - Lab How to download satellite images with SCP plugin

20 - Practical2-3-sentinel2-sample-1.zip

5 - Practicals basics of satellite image analysis Remote Sensing in QGIS

21 - Lab Layerstacking True and False Colour composites

21 - Landsat5-Image.zip

22 - Lab Image preprocessing atmospheric correction

22 - Landsat-8-orig.7z

23 - Sources of Remote Sensing images

24 - EO browser Using cloud platform for spectral indices & land cover analysis

6 - Basics of land use and land cover LULC mapping theory

25 - Introduction Machine Learning

26 - Understanding Remote Sensing for LULC mapping

27 - Introduction to LULC classification based on satellite images

28 - Supervised and unsupervised image classification

29 - Unsupervised Kmeans image analysis in QGIS

29 - bonn-2019-july-s2.zip

30 - Stages of LULC supervised classification

31 - Overview of image classification algorrithms

32 - Accuracy assessment of LULC map

7 - Practicals Image CLassification in SemiAutomated Classification Plugin in QGIS

33 - LT52300691985196CUB00-MTL.txt

33 - Lab Training data collection in QGIS

33 - Landsat5-Amazon-Rainforest.7z

33 - Landsat5-Image.zip

33 - Training-Landsat5.zip

34 - Lab LULC with the use of spectral angle mapping

35 - Lab LULC with the use of Maximum Likelihood Algorithm

36 - Lab LULC with the use of Minimum Distance Classification Algorithm

37 - Lab Validation data creation

37 - Validation-Landsat5.zip

38 - Lab Accuracy Assessment

39 - Landsat8-class.zip

39 - Landsat-8-orig.zip

39 - Practical-LULC-Landsat.pdf

39 - Project LULC mapping of Landsat 8

8 - Introduction to change detection in QGIS

40 - Introduction to change detection

41 - Change-detection.pdf

41 - Change-detection.zip

41 - Lab Change Detection in QGIS

42 - Lab How to make a map in QGIS

9 - Image Classification in Google Earth Engine

43 - Section Overview.html

44 - Supervised classification with Google Earth Engine explorer

45 - Import images and their visualization in Google Earth Engine

45 - Lab1-GEE-import-data.pdf

46 - Lab2-GEE-kmeans.pdf

46 - Unsupervised Kmeans image analysis in Google Earth Engine

47 - Random Forest Supervised CLassification in Earth Engine

47 - Supervised-classification-RF.txt

48 - Accuracy Assessment in Earth Engine

48 - Accuracy-Supervised-classification-RF.txt

10 - Introduction to Machine Learning in GIS

49 - Introduction to Machine Learning

50 - On Machine Learning in GIS and Remote Sensing

51 - Supervised and Unsupervised Learning classification in GIS and Remote Sensing

52 - Object detection in GIS

53 - Segmentation and objectbased image analysis OBIA

54 - Prediction in GIS and deep learning for Big Data Analysis

55 - Project Machine Learning for GIS on cloud Google Earth Engine

11 - Machine Learning and Objectbased Analysis OBIA in GIS part 2

56 - Section Overview.html

57 - Objectbased image classification OBIA VS pixelbased image classification

58 - OBIA-S2.zip

58 - Object-Based-Classification.pdf

58 - Segmentation of highresolution satellite image

59 - Creating training data from satellite image based on the segmented layer

60 - Objectbased image classification with the Machine Learning algorithm

61 - Final Project Instructions

12 - BONUS

62 - BONUS

62 - Resources-17062020.pdf

45,900 تومان

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تولید کننده: Udemy