TESSERA latent embeddings are a well-suitable input to fraction mapping, performing slightly better than spectral-temporal-metrics-based models in many cases, but spline coefficients generally perform best when sufficient high-quality observations are available.
Accurate land-cover mapping in tropical regions remains challenging because of high environmental heterogeneity, complex vegetation structure, and persistent cloud cover. Recent geospatial foundation models provide pre-computed Geo-embeddings that offer a new representation of Earth Observation data (EO), yet their pot...
A. Havinga, Grégory Giuliani, Sophie Nobel et al.· Remote Sensing· 0 citations
The combination of Embedding V1, MLP, and Aitchison distance loss achieved the best overall performance, suggesting that foundation model embeddings combined with compositional losses can improve sub-pixel land-cover estimation.
Ayato Kanno, N. Tsutsumida· The International Archives o...· 0 citations
Accurate urban land cover information is essential for monitoring urbanization and environmental change, yet the complexity and heterogeneity of urban landscapes remain challenging for high-resolution remote sensing classification. This study used Google Satellite Embeddings as the core feature input, combined with ens...
Yu Wang, Han Liu, Li Wang et al.· Remote Sensing· 0 citations
Accurate land cover classification is important for monitoring urban expansion, agricultural activities, forest changes and other environmental processes. Landsat imagery has been extensively used for large-scale land monitoring because of its long-term archive, global coverage and free accessibility. However, its 30 m...
Jeyabharathy S, Berlin K, Sivabalan Kr· SHS Web of Conferences· 0 citations
The results support frozen geospatial embeddings as a low-compute candidate for regional cropland mapping, subject to the limits of a single-state study, a 30 m-derived training reference, and a one-block human validation.
Mohammad Ammar Mughees, Giovanni Montefoschi, Zhong-Xin Chen et al.· 0 citations
Ecosystems and the services they provide are essential for life but continue to undergo degradation worldwide. Satellite remote sensing has been essential for environmental mapping for decades, but can suffer poor accuracy when applied to mapping terrestrial ecosystems. Geospatial Foundation Models (GeoFMs) integrate d...
George W. Lucas, Benjamin J. Cresswell, S. Duce et al.· Remote Sensing· 0 citations
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