Pith Number

pith:6ZIDOKI5

pith:2026:6ZIDOKI5JL5SZV3YN3EDYIGIMT

not attested not anchored not stored refs pending

Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates

Daniele Molino, Elena Mulero Ayll\'on, Filippo Ruffini, Giulia Romoli, Irene Iele, Matteo Tortora, Paolo Soda

A probabilistic NDVI forecasting model separates historical encodings from future weather covariates to handle sparse satellite data.

arxiv:2602.17683 v3 · 2026-02-04 · cs.LG · cs.CV · stat.ML

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\usepackage{pith}
\pithnumber{6ZIDOKI5JL5SZV3YN3EDYIGIMT}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experiments on European satellite data show that the proposed approach outperforms statistical, deep learning, and time-series baselines on both pointwise and probabilistic evaluation metrics.

C2weakest assumption

That the temporal-distance weighted quantile loss and the engineered cumulative/extreme-weather features will generalize beyond the specific European dataset and cloud-masking patterns used in training.

C3one line summary

A neural architecture with a horizon-weighted quantile loss forecasts field-level NDVI from irregular satellite observations and weather covariates, outperforming baselines on European data.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-26T01:15:49.696380Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f65037291d4afb2cd7786ec83c20c864ea1ef59cbe6fce3fed914f62c6970693

Aliases

arxiv: 2602.17683 · arxiv_version: 2602.17683v3 · doi: 10.48550/arxiv.2602.17683 · pith_short_12: 6ZIDOKI5JL5S · pith_short_16: 6ZIDOKI5JL5SZV3Y · pith_short_8: 6ZIDOKI5

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6ZIDOKI5JL5SZV3YN3EDYIGIMT \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f65037291d4afb2cd7786ec83c20c864ea1ef59cbe6fce3fed914f62c6970693

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bfb9cdc2779a76f81c46e2ff72e92062286be8a48a4f7215725d330bd0becbe0",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-02-04T17:48:52Z",
    "title_canon_sha256": "83c411e5b00c3d37be1571a7cf0f35944c812d246a76a49c2fed47ff5f49e3ec"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.17683",
    "kind": "arxiv",
    "version": 3
  }
}