Data for: Can we locate shrimp aquaculture ponds from space? – A case study for Thailand

This shapefile (generated with ArcGis Desktop Version 10.8) contains the identified water areas in Thailand that have a high likelihood to be a shrimp pond and the identified land cover change.

-9999 = NoData

Pond
1= Shrimp water area
2= Non-Shrimp water area

Farm_Unit
= Identification number of the corresponding "farm unit"

Water_Cat
=Water category obtained from the global water surface explorer (Pekel, J.-F.; Cottam, A.; Gorelick, N.; Belward, A. S., High-resolution mapping of global surface water and its long-term changes. Nature 2016, 540, 418.)

1=Permanent
2=New permanent
4=Seasonal
5=New seasonal
7=Seasonal to permanent
8=Permanent to seasonal
9=Ephemeral permanent
10=Ephemeral seasonal

Coastal
= defines the location

1 = inland region
2 = costal region

Area_km2
= Area of the related polygon in km2; measured by using the WGS 1984 World Mercator projection.

Forest_km2
= “primary forested land” area in km2, that has potentially been converted by shrimp pond construction

NFores_km2
= “primary non-forested” area in km2, that has potentially been converted by shrimp pond construction

NPrima_km2
= “non-primary land” area in km2, that has potentially been converted by shrimp pond construction

likelihood
= Attributed shrimp pond water area likelihood class

Class 1 has the comparably lowest likelihood to be a shrimp pond and class 3 has the comparably highest likelihood to be a shrimp pond.