https://geotessera.org/blog/original TESSERA Blog — Original Content Original posts from the TESSERA team 2026-04-17T00:00:00.000Z https://geotessera.org/blog/2026-04-17-gedi-fungi-preprints Calibrated biomass and below-ground biodiversity with TESSERA 2026-04-17T23:00:00.000Z Robin Young Two new preprints use TESSERA embeddings for calibrated biomass gap-filling and below-ground fungal biodiversity prediction. https://geotessera.org/blog/2026-04-01-agribound-field-boundaries Agribound: agricultural field boundary delineation 2026-04-01T23:00:00.000Z Anil Madhavapeddy Agribound is a new Python toolkit that uses TESSERA embeddings for unsupervised agricultural field boundary delineation across multiple satellite sources. https://geotessera.org/blog/2026-03-30-training-and-inference-at-scale Planetary scale training and inference with AMD and Vultr 2026-03-30T23:00:00.000Z Anil Madhavapeddy How we used AMD Accelerator Cloud and Vultr's MI325X GPU clusters to train the TESSERA v1 model and generate 250TB of global embeddings. https://geotessera.org/blog/2026-03-23-restoration-dialogue-workshop Restoration Dialogue: AI and Habitat Monitoring in the UK 2026-03-23T23:00:00.000Z David Coomes Over 30 researchers from universities, statutory agencies and NGOs gathered in Cambridge to explore whether geospatial foundation models like TESSERA can support mapping and monitoring nature across the UK. https://geotessera.org/blog/2026-03-16-geotessera-r-library GeoTessera R library now available 2026-03-16T23:00:00.000Z Anil Madhavapeddy Simon Frost from Microsoft Research has contributed an R port of the geotessera library, bringing TESSERA embeddings to the R ecosystem. https://geotessera.org/blog/2026-03-10-tessera-v1-weights TESSERA v1 model weights now available 2026-03-10T23:00:00.000Z Zhengpeng Feng The TESSERA v1 model weights are now publicly available, including the QAT checkpoint for quantized int8 inference. https://geotessera.org/blog/2026-03-11-introducing-tessera TESSERA accepted at CVPR 2026 2026-02-21T23:00:00.000Z Zhengpeng Feng Our paper introducing TESSERA, a pixel-wise foundation model for multi-modal Earth observation time series, has been accepted at CVPR 2026.