Crop Type Detection Using Sentinel-1 SAR Imagery in Google Earth Engine

In this exciting video, we delve into the fascinating world of crop type detection using Sentinel-1 SAR imagery, all within the powerful Google Earth Engine platform.
Join us as we explore a region of interest (AOI) using precise geographical coordinates and state-of-the-art satellite imagery. We'll walk you through the process of setting up a time period for analysis, from loading Sentinel-1 Ground Range Detected (GRD) Image Collections to filtering images by ascending and descending orbit passes.
Watch as we demonstrate how to calculate the monthly average of SAR images, apply speckle filtering for noise reduction, and visualize the results using Google Earth Engine's powerful mapping tools. You’ll also learn how to generate a detailed time-series chart of SAR backscatter values at a specific point, providing valuable insights into crop dynamics over time.
-----------------------------------------------------------------
Resource link:
Code link: code.earthengi...
Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected:
developers.goo...
-----------------------------------------------------------------
Outcome:
By the end of this video, you’ll understand how to export the processed SAR images to Google Drive, enabling you to carry out comprehensive crop type analysis. This video is perfect for researchers, GIS enthusiasts, and anyone interested in using remote sensing technology for agricultural monitoring. Tune in, and let's explore the power of Sentinel-1 SAR imagery for crop type detection together!
-----------------------------------------------------------------
💰🤝🏻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: geosuite.blogs...
---------------------------------------------------------------
👍 **Don't forget to Like, Share, and Subscribe for more insightful tutorials! 🌐✨
#cropdetection #sentinel #googleearthengine #SAR #croptype #earthengine #tutorial #imageanalysis #satelliteimagery #sentinel2 #mapping #education #remotesensing #cropmapping #googleearthenginetutorial #GIS #geographicinformationsystem #SentinelSAR #cropclassification #syntheticapertureradar #geoinformática #geoinformatics

[@herysshine]

Sir, please make forest fire monitoring in depth tutorial. Thanks in advance ❤

[@ProFessional-v6n]

So, can i identify exact crop type name using SAR Image or we should collect spectral signatures from the field to verify it. thanks for simple understandable code

[@herysshine]

From the graph of ascending and descending image there are slight variations, is it due to the orbital pass of the satellite.

[@ProFessional-v6n]

Pretty good explaonation

[@user-vh3rn5fg6b]

Thanks for the great explanation ❤ hopefuly maybe next study and tutorial how to (fusion) combine SAR and Optical data, Sentinel 1 and sentinel 2 for crop identification. Thank you sir ❤

[@user-vh3rn5fg6b]

I have a question sir, if I use a date filter instead of a year, maybe only filter the dates July 1 to August 1 2024, will it still work?