Scientific Publications
This page lists the scientific publications related to the Embed2Scale project. You can check them here or in our Zenodo community:
Tree crop mapping of South America reveals links to deforestation and conservation
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks
Towards Efficient Neural Compression for Earth Observation Data
SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated
Scalable Efficient Compression in Large-Scale Earth Observation
Neural Embedding Compression for Earth Observation Data – an Ablation Study
Compress Once, Decode Anywhere: Embedding Workflows with TerraTorch
MT-GSR4B: Multi-Temporally Guided Super-Resolution for Above-Ground Biomass Estimation
TerraCodec: Compressing Earth Observations
SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
Earth Observation embeddings at the test: A novel benchmark to evaluate (neural) compression for satellite imagery
Geospatial Foundation Models for Efficient Retrieval of Remote Sensing Images
Earth Observation Applications through Neural Embedding Compression from Foundation Models
ClimateBenchPress: A Benchmark for Compression of Climate Data
Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models
Neural Embedding Compression for Efficient Multi-Task Earth Observation Modelling
Lossy Neural Compression for Geospatial Analytics: A Review
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance
