Water Area Time Series in Google Earth Engine

This is a short applicable course enables you to learn important techniques on water resource management using earth observation satellite data in Google Earth Engine Platform. All techniques are simple, fast, tested and executable in all around the world. MODIS and Landsat 8 selected as main datasets in 3 applications: water area time series, flood detection and water frequency occurrence mapping:

Part1: Included MODIS based water area time series with writing functions to compute indices, water area computations and plotting the results.

Part2: Included Landsat based processing to compute NDWI index and defining useful filters about cloud, path, row.

Part3: Included Landsat based processing to calculate water area by a time series function and plotting the results.

Part4: Included MODIS based lake mapping to show water frequency occurrence over the entire lake.

Part5: Included MODIS based flood detection by NDWI index though a subtraction change detection techniques.

MODIS and Landsat considered as main public satellite data that enable us to do most of remote sensing projects in different scales. These data are very popular and provide a good opportunity to handle projects as easy as possible. Long-term MODIS products and Landsat images since 2000 are available used to know better what’s going on in the nature since past so far.

Who this course is for:

• Learning Google Earth Engine is necessary for all earth science students and researchers
• This tutorial highly recommended for water resource students
• This also will be helpful for environmental engineering experts and students