Remote Sensing for Drought Monitoring in Google Earth Engine
What you'll learn
- Download, process and visualize various satellite data for drought monitoring application
- Understand the advantages of using satellites for drought monitoring
- Generate various visualizations including time series and histogram charts from remote sensing data
- Export satellite data summary
- Plot time series data
- Calculate anomalies using satellite data
Requirements
- This course has no requirements.
Description
Do you want to apply satellite remote sensing in drought monitoring?
Do you want to acquire new hands-on Remote Sensing skills to analyze and process satellite data?
Enroll in my new course Remote Sensing for Drought Monitoring in Google Earth Engine.
I will provide you with hands-on training with example data, sample scripts, and real-world drought monitoring applications.
By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in satellite remote sensing for drought monitoring applications with Google Earth Engine, a cloud-based Earth observation data visualization analysis powered by Google.
In this Remote Sensing for Drought Monitoring course, I will help you get up and running on the Google Earth Engine cloud platform to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new GIS and Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing big data using JavaScript programming language with the GEE cloud platform. In this course, I will use real satellite data including Landsat, MODIS, SMAP, TRMM, GPM, and others to provide you a hands-on practical experience of working with Earth observation data.
One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript open-source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze remote sensing data with GEE. All sample data and scripts will be provided to you as an added bonus throughout the course.
Jump in right now to enroll. To get started click the enroll button
Who this course is for:
- This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
- People who want to understand various satellite image processing techniques for drought monitoring.
- Anyone who wants to learn spatial analysis on the cloud.
- People who are working with satellite remote sensing data such as Landsat, MODIS, Sentinel-2, and SMAP, GRACE, and GPM.
- Anyone who wants to apply for GIS or Remote Sensing Specialist job position.
Instructor
- 3.9 Instructor Rating
- 1,635 Reviews
- 20,180 Students
- 18 Courses
I am a geospatial data scientist with 15 plus years of experience. I am a former NASA Earth and Space Science fellow. My research interests include remote sensing, big data and environmental change. More specifically, I am interested in applying big geospatial data, cloud computing and machine learning to solve complex environmental problems, especially land cover change, climate change, water resource, agriculture, and public health.