| Channel | Publish Date | Thumbnail & View Count | Download Video |
|---|---|---|---|
 | Publish Date not found |  0 Views |
————————————————– ———————————————
Check out the code link: https://code.earthengine.google.co.in/b31cf171ce5033f3e39726c79a455b74
————————————————– ———————————————
Support us – by joining this channel to access the benefits:
https://www.youtube.com/channel/UCYn54mq89HgZcNk0L7eon0w/join
————————————————– ———————————————
Precipitation anomaly detection using Google Earth Engine (GEE) involves analyzing historical precipitation data to identify regions where precipitation deviates significantly from expected trends. This approach can help detect drought conditions, flood risks and other weather-related anomalies that can impact local communities, agriculture and natural resources.
GEE is a cloud-based platform that provides access to a wide range of satellite imagery, weather data and geospatial analysis tools. With GEE, users can access and process large amounts of data, visualize patterns over time, and create models to make predictions and identify trends.
To detect precipitation anomalies using GEE, one can start by importing historical precipitation data from a reliable source such as the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). They can then calculate the average monthly or seasonal precipitation for a given area of interest and compare it to the long-term average for that same period. If observed precipitation deviates significantly from expected values, this may indicate an anomaly that warrants further investigation.
Other techniques that can be used to identify precipitation anomalies include clustering analysis, trend analysis, and machine learning algorithms. GEE provides a variety of tools and resources to support these approaches, including tutorials, code snippets, and sample datasets.
Overall, the ability to detect rainfall anomalies using GEE can help decision-makers and communities better prepare for weather-related risks and take proactive steps to mitigate their impacts.
#googleearthengine #rains #timeseries #charts
Please take the opportunity to connect and share this video with your friends and family if you find it useful.
