Context and Aim Deep learning in Earth Observation requires large image archives with highly reliable labels for model training and testing. However, a preferable quality standard for
This database contains 7,536 field-validated canopy tree crown segments for 147.4 hectares of mapped forest census plots in old-growth and old secondary forest in the Barro Colorado Nature Monument (B
DigiMedFor T4.2 models' datsets both aerial and ground images from Limnia Forest (ground images also include complementary pine images from Seih sou and Dam Thermi forest images for testing purposes.)
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-11-20 (15:01:19.5450380Z)
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, on 2007-07-03 (18:50:13.0330440Z). Data were collected by Landsat 5, ro
