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Author

Srinivasan Keshav

Observed names: Keshav, Srinivasan, Srinivasan, Keshav
OpenAlex ID: A5123820041
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
2025 · Feng, Zhengpeng, Atzberger, Clement, et al. · arXiv (Cornell University) · 109
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TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
2025 · Frank Feng, Clement Atzberger, et al. · 14
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
2026 · Feng, Zhengpeng, Jaffer, Sadiq, et al. · arXiv (Cornell University) · 13
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TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
2025 · Frank Feng, Clement Atzberger, et al. · 13
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
2022 · Batarseh, Feras A., Donti, Priya L., et al. · arXiv (Cornell University) · 13
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Applications of the TESSERA Geospatial Foundation Model to Diverse Environmental Mapping Tasks
2026 · Zhengpeng Feng, Clement Atzberger, et al. · SSRN Electronic Journal · 11
Planetary computing for data-driven environmental policy-making
2023 · Ferris, Patrick, Dales, Michael, et al. · arXiv (Cornell University) · 6
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Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
2026 · Lisaius, Madeline C., Keshav, Srinivasan, et al. · arXiv (Cornell University) · 4
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Interpolation of GEDI Biomass Estimates with Calibrated Uncertainty Quantification
2026 · Young, Robin, Keshav, Srinivasan · arXiv (Cornell University) · 4
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Towards Improved Crop Type Classification: a Compact Embedding Approach Suitable for Small Fields
2026 · Madeline C. Lisaius, Andrew Blake, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2
Below-ground Fungal Biodiversity Can be Monitored Using Self-Supervised Learning Satellite Features
2026 · Young, Robin, Van Nuland, Michael E., et al. · arXiv (Cornell University) · 2
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Annual Earth-observation embeddings encode wildfire disturbance and support simplified burned area mapping
2026 · Jovana Knezevic, Clement Atzberger, et al. · SSRN Electronic Journal · 1
Forecasting Earth Surface Change in Embedding Space
2026 · Li, Jingtao, Jaffer, Sadiq, et al. · arXiv (Cornell University)
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Earth embeddings are decomposable records of the land surface
2026 · Young, Robin, Keshav, Srinivasan · arXiv (Cornell University)
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PiCo: Physics-Informed Concept Probing for Geo-Foundation Models
2026 · She, Yihang, Blake, Andrew, et al. · arXiv (Cornell University)
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Towards accessible smallholder crop classification in the groundnut basin of Senegal
2026 · Madeline C Lisaius, Srinivasan Keshav, et al. · Environmental Research Food Systems
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Geospatial embeddings detect old-growth forests but buffered spatial validation narrows their advantage over Sentinel features
2026 · Ratsakatika, Thomas, Zotta, Mihai, et al. · arXiv (Cornell University)
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How Usable Are Geospatial Foundation Models? A Systematic Evaluation of 89 Models
2026 · Young, Robin, Gabtraupov, Artyom, et al. · arXiv (Cornell University)
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Neural Processes Maintain Calibrated Biomass Estimates Across Spatiotemporal Gaps and Disturbance
2026 · Young, Robin, Keshav, Srinivasan · arXiv (Cornell University)
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Works count: 25
Citation count: 192
H-index: 6
I10-index: 6
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