Unit 4: Real Case Study How to Estimate Crop Loss from Hailstorm and

Remote Sensing Basics with Application to Water Resources and Geology

Module 1 - Intro to Remote Sensing (history of Landsat missions, electromagnetic waves, spatial, spectral, radiometric and temporal resolution...)

Lecture 1: Remote Sensing Basics - our guest lecturer will gently take you to remote sensing learning path (48:05)
Lecture 2: Remote Sensing Basic, 2nd part - after this lecture you will understand much better remote sensing (55:49)
Bonus: Good overivew of electromagnetic waves (11:01)

Module 2 - Understanding main satellites (Landsat, Sentinel, ASTER) - images available for free

Lecture 1: Theory and application of Landsat series of satellites (data available from 1972, 7/16 days revisit time on each point on the The Globe) (76:26)
Lecture 2: Theory and application of ASTER sensors on Terra and Aqua satellites (data available from 1999) (71:48)
Lecture 3: Intro to other satellites with free images - Sentinel 2A and 2 B (10m x 10m resolution) (11:24)

Module 3 - Downloading images from main satellites (Landsat, Sentinel, ASTER)

Unit 1: How to download Landsat 1-8 satellite images (data available from 1972) (8:46)
Unit 2: How to download Sentinel 2a and 2b satellite images (revisit time 5 days for the entire Globe) (5:58)
Unit 3: How to download ASTER satellite images (SWIR and thermal bands, from 15 meters resolution) (5:03)

Module 4 - Practical work with satellite images (Landsat, ASTER, Sentinel 2)

Unit 1: How to get image that can be useful from satelites - quick introduction (11:02)
Unit 2: Making your 1st true coloure image from Sentinel 2 satellite! (8:23)
Unit 3: Radiometric correction of satellite images in order to get quantitative result - Digital Number, Radiance, and Reflectance (7:19)

Module 5 - NDVI, one of the most useful indices derived from satellites used in Agriculture, Ecology, Hydrogeology ....

Unit 1: Quick Intro to NDVI (2:32)
Unit 2: How to make NDVI in SNAP - quick demonstration (5:14)
Unit 3: NDVI application in Agriculture - on demand, live, session
Assignment 1: for those who wants certificate - make an NDVI map of your city from either Landsat or Sentinel 2A or B satellite
Unit 4: Real Case Study How to Estimate Crop Loss from Hailstorm and Report it to Insurance Company

Module 6 - Thermal Infrared Remote Sensing

How light can increase the temperature of the object - quick theoretical explanation (15:10)
Introduction to thermal infrared remote sensing from satelites (9:17)
Simple test about previous lecture for thermal infrared remote sensing - check you knowledge (0:52)
How to produce temperature of earth surface from LANDSAT and ASTER with QGIS
Assignment 2: for those who wants certificate - make an land temperature map of your city from Landsat 8

Module 7 - Remote Sensing and Water Resources Managing - live sesions

Introduction with practical applications
How to determine elements of hydrological cycle from satellites (precipitation, soil mositure, ET, river discharge, runoff)

Module 8 - Application of Remote Sensing in Geology - live sesions

Lineament determination - theory, manualy and QGIS determination with special application to water supply
Monitoring and detection of subsidence and landslides from satellites
Mineralogy and lItology detection from satellites

Module 9 - Special Topics

High resolution commercial satellites - overview of KOMPSAT satellite constellation by Korean Aerospace Research Institute
Introduction to Radar Satellites - theory and application
Orthorectification of KOMPSAT 5 Radar Satellite Image - demo exercise
Drones - background, some models and its application in geology, hydrogeology, environmental science and agriculture

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