Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications

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Publisher ‏ : ‎ Springer; 2024th edition (October 5, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 1247 pages
ISBN-10 ‏ : ‎ 3031265874
ISBN-13 ‏ : ‎ 978-3031265877
Item Weight ‏ : ‎ 5.25 pounds
Dimensions ‏ : ‎ 6.3 x 2.68 x 9.53 inches

Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications

Remote sensing has revolutionized the way we study and monitor the Earth’s surface. With the advent of cloud-based platforms like Google Earth Engine, remote sensing data can now be analyzed at unprecedented scales and speeds.

In this post, we will explore the fundamentals of cloud-based remote sensing using Google Earth Engine and discuss some of the key applications of this powerful platform.

Google Earth Engine is a cloud-based platform that allows users to access and analyze a vast array of remote sensing data, including satellite imagery, LiDAR data, and climate data. The platform provides users with a range of tools and algorithms for processing and analyzing this data, making it easier than ever to conduct large-scale remote sensing studies.

One of the key advantages of Google Earth Engine is its scalability. By harnessing the power of Google’s cloud infrastructure, users can analyze petabytes of data in a matter of seconds, allowing for rapid exploration and analysis of remote sensing data.

Some of the key applications of cloud-based remote sensing with Google Earth Engine include:

– Land cover and land use mapping: Google Earth Engine can be used to classify satellite imagery and map land cover and land use changes over time. This information is crucial for monitoring deforestation, urbanization, and other land cover changes.

– Climate change monitoring: Google Earth Engine can be used to analyze climate data and track changes in temperature, precipitation, and other climate variables over time. This information is essential for understanding the impacts of climate change on our planet.

– Natural disaster monitoring: Google Earth Engine can be used to analyze satellite imagery before and after natural disasters such as hurricanes, wildfires, and earthquakes. This information can help emergency responders assess damage and plan recovery efforts.

Overall, cloud-based remote sensing with Google Earth Engine offers a powerful tool for studying and monitoring the Earth’s surface. By leveraging the platform’s scalability and tools, researchers can conduct large-scale remote sensing studies with unprecedented speed and efficiency.
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