Multi-Sensor Image Classification Using the Random Forest Algorithm in Google Earth Engine with KOMPSAT-3/5 and CAS500-1 Images
This study conducted multi-sensor image classification by utilizing Google Earth Engine (GEE) and applying satellite imagery from Korean Multi-purpose Satellite 3 (KOMPSAT-3), KOMPSAT-5 SAR, Compact Advanced Satellite 500-1 (CAS500-1), Sentinel-1, and Sentinel-2 within GEE. KOMPSAT-3/5 and CAS500-1...
Saved in:
| Main Authors: | Jeonghee Lee, Kwangseob Kim, Kiwon Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/24/4622 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models
by: Han Oh, et al.
Published: (2025-03-01) -
FOREST FIRE DETECTION BASED ON GOOGLE EARTH ENGINE SEBANGAU NATIONAL PARK
by: Afifah Kiki Dwi Wulandari, et al.
Published: (2025-08-01) -
IDENTIFYING CHANGES IN MANGROVE FOREST DISTRIBUTION IN LANGKAT REGENCY USING GOOGLE EARTH ENGINE
by: Rina Mawardah Batubara, et al.
Published: (2025-07-01) -
Rainfall Rate Measurement for Advanced Meteorological Imager of the GEO-KOMPSAT-2A Satellite
by: Dong-Bin Shin, et al.
Published: (2025-01-01) -
Accuracy Assessment of a Digital Elevation Model Constructed Using the KOMPSAT-5 Dataset
by: Je-Yun Lee, et al.
Published: (2025-02-01)