Monthly Precipitation Anomaly Detection using CHIRPS Dataset in Google Earth Engine скачать в хорошем качестве

Monthly Precipitation Anomaly Detection using CHIRPS Dataset in Google Earth Engine

In this video, we demonstrate how to detect and analyze monthly precipitation anomalies using the CHIRPS daily rainfall dataset over a large study area in Southeast Asia. The workflow begins with defining an Area of Interest (AOI) and filtering CHIRPS data for a specified time period (2000–2020). We use a custom function to aggregate daily rainfall into monthly totals, producing 240 monthly precipitation layers across 20 years. We visualize the results using an interactive time series chart to explore how precipitation anomalies evolved over two decades. The tutorial also demonstrates how to extract and export anomaly data for a specific year—in this case, 2010—by converting the 12 monthly images into a multi-band raster for further analysis or storage in Google Drive. This video is perfect for students, researchers, and environmental analysts looking to understand precipitation dynamics, detect climate variability, or perform time-series anomaly detection using satellite-based rainfall data in Google Earth Engine. Whether you're studying climate change impacts, monitoring agricultural drought, or learning GEE scripting, this tutorial provides practical and reusable code for precipitation anomaly analysis. ----------------------------------------------------------------- Resources: Code link: https://code.earthengine.google.com/b... CHIRPS Daily Precipitation Data: https://developers.google.com/earth-e... 🔔 Subscribe for more tutorials on remote sensing, climate data analysis, and GEE scripting! ----------------------------------------------------------------- 💰🤝🏻Join Membership to get access to perks & Support us🤝🏻💰    / @terraspatial   ----------------------------------------------------------------- 👩‍💻 Join the Terra Spatial Community: Engage with fellow learners, share your experiences, and get support on our dedicated community forum. 🌐 Stay connected: 📌 Subscribe to our Channel:    / @terraspatial.  . 📌 Facebook:   / terraspatial   📌 Geosuite blog: https://geosuite.blogspot.com/ --------------------------------------------------------------- 👍 **Don't forget to Like, Share, and Subscribe for more insightful tutorials! 🌐✨ #GoogleEarthEngine #PrecipitationAnomaly #CHIRPS #ClimateAnalysis #GEE #RainfallTrends #SatelliteData #RemoteSensing #Hydrology #EarthObservation