Random Forest land cover classifications of Sentinel satellite images in 2019, Saen Thong, Thailand

This dataset holds the results of different Random Forest classifications using the combination of Sentinel-2 Optical and Sentinel-1 Radar images. The different images were acquired in 2019. The dataset covers Saen Thong sub-district, Nan province in northern Thailand, a mountainous area with a monsoon climate. The classifications cover three categories of land:

1. uncultivated steep mountain slopes with forest (Park, protected),
2. cultivated mostly steep slopes with annual crops (e.g. upland rice, maize), or tree plantations (e.g rubber, teak, bamboo), or community forest,
3. cultivated flatland with paddy fields, besides most urbanization and modern infrastructure is also located here. All farmers are smallholders and field size is relatively small.

The classifications were sustained by ground-truth checks. The land cover classifications and others additional data resulting from fieldwork are intended to study the spread of some common infectious diseases (ANR Future Health Sea project: predictive scenarios of health in Southeast Asia, linking land use and climate change to infectious diseases).