Our large scale alpine land cover dataset consists of  229'535 very high-resolution aerial images (50cm) and  digital elevation model (50cm) with land cover annotations  produced by  experts in photo-interpretration . The nine land cover types in our study area include bedrock, bedrock with grass, large blocks, large blocks with grass, scree, scree with grass, water area, forest and glacier. The distribution of pixels among classes presents a typical case of a long-tailed distribution with an imbalance factor, defined as the ratio of the most frequent to the rarest class, close to 1000.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Valérie Zermatten, "swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/n61c-k282. Accessed: Feb. 08, 2025.
@data{n61c-k282-23,
doi = {10.21227/n61c-k282},
url = {http://dx.doi.org/10.21227/n61c-k282},
author = {Valérie Zermatten },
publisher = {IEEE Dataport},
title = {swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions},
year = {2023} }
TY - DATA
T1 - swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions
AU - Valérie Zermatten
PY - 2023
PB - IEEE Dataport
UR - 10.21227/n61c-k282
ER -
Valérie Zermatten. (2023). swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions. IEEE Dataport. http://dx.doi.org/10.21227/n61c-k282
Valérie Zermatten, 2023. swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions. Available at: http://dx.doi.org/10.21227/n61c-k282.
Valérie Zermatten. (2023). "swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions." Web.
1. Valérie Zermatten. swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/n61c-k282
Valérie Zermatten. "swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions." doi: 10.21227/n61c-k282