ID:
technologies-35
Name:
Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making
Technology:
Recurrent U-Net
Type:
Algorithm
Data used as input:
Satellite imagery
Produced datasets (openly available):
Demo (video if available):
Paper (if available):
Yes
Paper DOI (if available):
10.1080/15481603.2023.2206539
Project ID (if available):
101004152
Project Acronym (if available):
CALLISTO
Service description:
Dynamic paddy rice mapping using Recurrent U-Net.
