MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 40 lectures (4h 53m) | Size: 2.44 GB

This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform environmental analysis (land degradation monitoring, floods mapping, land cover change monitoring, land productivity, etc) with Big Data on the cloud using both QGIS capabilities and Google Earth Ee!

Conduct applied spatial analysis (Remote Sensing & GIS) for Environmental Applications in QGIS & Google Earth Ee

Students will gain access to and a thorough knowledge of the QGIS, TrendsEarth and Google Earth Ee platform

To apply a range of environmental & series analysis in QGIS and Earth Ee

Implement land degradation mapping, flood monitoring, land cover analyis and more on the cloud

Get introduced and advance jаvascript skills on Google Earth Ee platform

Learn basics of Remote Sensing and how to apply Remote Sensing analysis in open-source tools

You'll have a copy of the codes used in the course for your reference

Complete your independent environmental application project using geospatial approaches in QGIS and Google Earth Ee

A working computer with internet connection

An interest in working with geospatial data

QGIS & Google Earth Ee for Environmental & Land Applications

The course will also focus on introducing you to sustainable development goals (SDG) indicators computation using the TrendsEarth plugin in QGIS. I will also introduce you to user-intuitive cloud computing using EO-browser!

This course provides you with all the necessary knowledge to start and advance your skills with Geospatial analysis and includes more than 5 hours of video content, plenty of practical analysis, and able materials. After taking this course, you will be able to implement PRACTICAL, real-life spatial geospatial analysis for environmental applications, and tasks with the Big Data on the cloud and in QGIS.

This course is designed to equip you with the theoretical and practical knowledge of applied geospatial analysis, namely Remote Sensing and some Geographic Information Systems (GIS). This course emphasizes the importance of understanding:

- Foundation of Remote Sensing in open-source tools (QGIS, Google Earth Ee)

- Basics of jаvascript for geospatial analysis on Google Earth Ee cloud platform

- Working with the open-source GIS software & tools (QGIS, Google Earth Ee, Trends. Earth, Semi-Automated classification Plugin)

- Learning how to conduct GIS / Remote Sensing analysis for environmental applications (such as land degradation monitoring, floods mapping, land cover change monitoring, and so on)

By the end of the course, you will feel confident and completely understand the basics of Remote Sensing & jаvascript for spatial analysis in QGIS and Earth Ee. You will learn to implement the practical environmental application on Google Earth Ee cloud with Big Data and in QGIS with Trends. Earth plugin. This course will also prepare you for using geospatial analysis with open source and free software tools.

One important part of the course is the practical exercises. You will be given some precise instructions, codes, and datasets to create for geospatial analysis in Google Earth Ee.

INCLUDED IN THE COURSE: You will have access to all the data used in the course, along with the scripts. You will also have access to future resources. Enroll in the course today & take advantage of these special materials!

Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field



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