Dataset for the research article "Improved Integrated Framework for Flooded Crop Damage and Recovery Assessment: A Multi-Source Earth Observation and Participatory Mapping in Hadejia, Nigeria". It contains detailed geospatial data dervied from multi-source Earth Observation (EO) data and participatory data used to assess the extent of flooding, crop damage, and recovery during the 2020 and 2022 flood events in Hadejia, Nigeria. DATA STRUCTURE / FOLDER ARRANGEMENT
+ Crop_Recovery_Layers
• Crop recovery layers in Geotiff and shapefile formats.
+ Crop_Recovery_Training_Validation
• Labelled sample points for crop recovery classification in shapefile format.
• Composite images for crop recovery classification in Geotiff format.
+ Flood_Accuracy_Assessment
• Sample points for flood extent accuracy assessment.
• Flood extent derived from Sentinel-2(S-2) satellite image using MNDWI for accuracy assessment in Geotiff format.
+ Flood_Extent_Layers_RF_S1_and_PS
• Flood extent and progression layers derived from the PlanetScope(PS) and Sentinel-1(S-1) satellite images using Machine Learning(ML) in Geotiff and shapefile formats.
+ Flood_Frequency_Layers
• Flood frequency layers in Geotiff format.
+ Flood_Training_Validation_Samples
• Labelled datasets used for the Machine Learning(ML) flood extent classification in shapefile format.
+ Flooded_Cropland_Layers
• Flooded cropland extents in Geotiff and shapefile formats.
+ Land_Cover_Layers
• Land cover layer derived from the PlanetScope(PS) satellite image in Geotiff and shapefile formats.
+ Perm_Water_Layer
• Extent of the permanent water in shapefile format.
+ QGIS_Layer_Styles
• Style for the layers in QGIS QML format.
+ Study_Area_Shp
• Study area extent in shapefile format.
+ Survey_Data
• Participatory mapping/survey data in CSV and shapefile formats.