GEEadas: GEE-based Automatic Detection of Adverse-frost Stress

Publication:

The code and workflow are for the paper "GEEadas: GEE-based automatic detection of adverse-frost stress" (DOI: 10.1016/j.rsase.2025.101799), published in the Remote Sensing Applications: Society and Environment journal.

Algorithms:

The algorithms in this work included:

• 1.Corn_block_map
• 2.Corn_getting_training_data
• 3.Corn_map_region
• 4.Corn_frost_map
• 5.Frost_analysis_temperature
• 6.Classification_percentages
• 7.Spectral_profiles

Datasets:

The results from this work can be downloaded:

• 1.Second-season corn classification
• 2.Frost-affected corn areas

Interactive App:

• GEEadas App