Appendice B. Bibliografia¶

Qui ci sono tutti gli articoli, i rapporti, i dati e gli standard citati nei capitoli, una volta sola, divisi per tema e in ordine di autore. Ogni voce ha un collegamento: il DOI (un indirizzo permanente) per gli articoli, la pagina ufficiale per dati e servizi.

Le pagine web non hanno un anno: sono state consultate fra ottobre e novembre 2026. I documenti interni del progetto (schede, guide, issue) restano citati nei capitoli, accanto al punto in cui servono.

Frane e pioggia¶

• Brunetti, M. T. et al. (2010). Rainfall thresholds for the possible occurrence of landslides in Italy. Natural Hazards and Earth System Sciences 10, 447-458. https://doi.org/10.5194/nhess-10-447-2010
• Brunetti, M. T. et al. (2024). e-ITALICA (enhanced ITAlian rainfall-induced LandslIdes CAtalogue). CNR-IRPI, Zenodo, CC BY 4.0. https://doi.org/10.5281/zenodo.14204473
• Caine, N. (1980). The rainfall intensity–duration control of shallow landslides and debris flows. Geografiska Annaler: Series A, Physical Geography 62(1-2), 23-27. https://doi.org/10.1080/04353676.1980.11879996
• Guzzetti, F., Peruccacci, S., Rossi, M., Stark, C. P. (2008). The rainfall intensity–duration control of shallow landslides and debris flows: an update. Landslides 5, 3-17. https://doi.org/10.1007/s10346-007-0112-1
• ISPRA (2021). Dissesto idrogeologico in Italia: pericolosità e indicatori di rischio, edizione 2021. Rapporti 356/2021. https://www.isprambiente.gov.it/it/pubblicazioni/rapporti/dissesto-idrogeologico-in-italia-pericolosita-e-indicatori-di-rischio-edizione-2021
• ISPRA (2025). Dissesto idrogeologico in Italia: pericolosità e indicatori di rischio, edizione 2024. Rapporti 415/2025. https://www.isprambiente.gov.it/it/pubblicazioni/rapporti/dissesto-idrogeologico-in-italia-pericolosita-e-indicatori-di-rischio-edizione-2024
• ISPRA. Indicatori di rischio (frane e alluvioni, dati nazionali). https://www.isprambiente.gov.it/it/attivita/suolo-e-territorio/dissesto-idrogeologico/indicatori-di-rischio
• ISPRA. IdroGEO, la piattaforma dell'Inventario dei Fenomeni Franosi in Italia (IFFI) e dei mosaici delle aree a pericolo. https://idrogeo.isprambiente.it
• ISPRA. Progetto CARG, cartografia geologica e geotematica 1:50.000. https://www.isprambiente.gov.it/it/progetti/cartella-progetti-in-corso/suolo-e-territorio-1/progetto-carg-cartografia-geologica-e-geotematica
• Peruccacci, S. et al. (2017). Rainfall thresholds for possible landslide occurrence in Italy. Geomorphology 290, 39-57. https://doi.org/10.1016/j.geomorph.2017.03.031

Incendi¶

• Copernicus Emergency Management Service. EFFIS, European Forest Fire Information System. https://forest-fire.emergency.copernicus.eu
• Copernicus Emergency Management Service. Licenza dei dati EFFIS. https://forest-fire.emergency.copernicus.eu/about-effis/data-license
• Italia (2000). Legge 21 novembre 2000, n. 353, Legge-quadro in materia di incendi boschivi. https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:legge:2000-11-21;353
• NASA. FIRMS, Fire Information for Resource Management System. https://firms.modaps.eosdis.nasa.gov
• Van Wagner, C. E. (1987). Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forestry Service, Forestry Technical Report 35, Ottawa.

Alluvioni¶

• Copernicus Emergency Management Service. EFAS, European Flood Awareness System. https://www.efas.eu
• Copernicus Emergency Management Service. GloFAS, Global Flood Awareness System. https://www.globalfloods.eu
• Copernicus Emergency Management Service. Mappatura rapida delle emergenze (aree allagate e danneggiate). https://mapping.emergency.copernicus.eu; https://rapidmapping.emergency.copernicus.eu
• Copernicus Emergency Management Service. Licenza CEMS-Floods (GloFAS, EFAS). https://ewds.climate.copernicus.eu/licences/cems-floods
• Copernicus Early Warning Data Store (EWDS). https://ewds.climate.copernicus.eu
• Copernicus Land Monitoring Service. EU-Hydro, il reticolo idrografico europeo. https://land.copernicus.eu/en/products/eu-hydro
• Copernicus Land Monitoring Service. High Resolution Layer Water and Wetness. https://land.copernicus.eu/en/products/high-resolution-layer-water-and-wetness

Dati e licenze¶

Dati del territorio, del meteo e dei satelliti¶

• Copernicus Land Monitoring Service. CORINE Land Cover. https://land.copernicus.eu/en/products/corine-land-cover
• Copernicus Land Monitoring Service. High Resolution Layer Imperviousness. https://land.copernicus.eu/en/products/high-resolution-layer-imperviousness
• Copernicus Land Monitoring Service. Soil moisture. https://land.copernicus.eu/en/products/soil-moisture
• Copernicus Land Monitoring Service. EGMS, European Ground Motion Service. https://egms.land.copernicus.eu
• Dipartimento della Protezione Civile. Radar meteo nazionale. https://radar.protezionecivile.it
• ECMWF. Open data. https://www.ecmwf.int/en/forecasts/datasets/open-data
• Eurostat GISCO. GEOSTAT, griglia europea della popolazione. https://ec.europa.eu/eurostat/web/gisco/geodata/population-distribution/geostat
• INGV. Terremoti e ShakeMap. https://terremoti.ingv.it; https://shakemap.ingv.it
• JRC, Copernicus. Global Human Settlement Layer. https://human-settlement.emergency.copernicus.eu/
• MeteoNetwork. Rete di stazioni meteo amatoriali. https://www.meteonetwork.it
• Open-Meteo. Servizio meteo aperto. https://open-meteo.com
• Panza et al. HR-DTM of Italy 5 m, modello digitale del terreno. CNR-IRPI, Zenodo. https://zenodo.org/records/18921767
• Sensor.Community. Rete di sensori dei cittadini. https://sensor.community

Licenze e condizioni d'uso¶

• Commissione europea, Joinup. European Union Public Licence (EUPL) 1.2, in tutte le lingue dell'Unione. https://joinup.ec.europa.eu/collection/eupl/eupl-text-eupl-12; tabella delle licenze compatibili: https://joinup.ec.europa.eu/collection/eupl/matrix-eupl-compatible-open-source-licences
• Copernicus Land Monitoring Service. Data policy. https://land.copernicus.eu/en/data-policy
• Creative Commons. Attribuzione 4.0 Internazionale (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/deed.it
• Creative Commons. Attribuzione, Condividi allo stesso modo 4.0 Internazionale (CC BY-SA 4.0). https://creativecommons.org/licenses/by-sa/4.0/deed.it
• Developers Italia. Riuso del software nella pubblica amministrazione. https://developers.italia.it
• ISTAT. Note legali. https://www.istat.it/note-legali/
• Open Data Commons. Open Database License (ODbL) 1.0. https://opendatacommons.org/licenses/odbl/1-0/
• Open-Meteo. Licence. https://open-meteo.com/en/licence
• OpenStreetMap. Copyright e licenza. https://www.openstreetmap.org/copyright

ML e statistica¶

• Akiba, T. et al. (2019). Optuna: A Next-generation Hyperparameter Optimization Framework. Proceedings of the 25th ACM SIGKDD Conference, 2623-2631. https://doi.org/10.1145/3292500.3330701
• Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review 78(1), 1-3. https://doi.org/10.1175/1520-0493(1950)078%3C0001:VOFEIT%3E2.0.CO;2
• Gama, J. et al. (2014). A survey on concept drift adaptation. ACM Computing Surveys 46(4), 1-37. https://doi.org/10.1145/2523813
• Lundberg, S. M., Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. Advances in Neural Information Processing Systems 30. https://doi.org/10.48550/arXiv.1705.07874
• Lundberg, S. M. et al. (2020). From local explanations to global understanding with explainable AI for trees. Nature Machine Intelligence 2, 56-67. https://doi.org/10.1038/s42256-019-0138-9
• Roberts, D. R. et al. (2017). Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography 40(8), 913-929. https://doi.org/10.1111/ecog.02881
• Saito, T., Rehmsmeier, M. (2015). The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets. PLOS ONE 10(3), e0118432. https://doi.org/10.1371/journal.pone.0118432
• Valavi, R. et al. (2019). blockCV: An R package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models. Methods in Ecology and Evolution 10(2), 225-232. https://doi.org/10.1111/2041-210X.13107
• Zadrozny, B., Elkan, C. (2002). Transforming classifier scores into accurate multiclass probability estimates. Proceedings of the 8th ACM SIGKDD Conference, 694-699. https://doi.org/10.1145/775047.775151

Software e standard¶

Software¶

• Agent Engineering Studio. Le librerie estratte da Limen (elenco completo nell'appendice C). https://github.com/agent-engineering-studio
• A2A Project. Agent2Agent Protocol. https://a2a-protocol.org/latest/
• Anthropic. Message Batches. https://docs.claude.com/en/docs/build-with-claude/batch-processing
• BerriAI. LiteLLM. https://github.com/BerriAI/litellm; https://docs.litellm.ai
• Caddy. https://caddyserver.com
• Crunchy Data. pg_tileserv. https://github.com/CrunchyData/pg_tileserv
• ggml-org. llama.cpp. https://github.com/ggml-org/llama.cpp
• LightGBM. https://lightgbm.readthedocs.io
• MapLibre. https://maplibre.org
• MinIO. https://min.io
• MLflow. https://mlflow.org/docs/latest/
• Model Context Protocol. https://modelcontextprotocol.io
• mostlygeek. llama-swap. https://github.com/mostlygeek/llama-swap
• Open-Meteo. Codice del servizio. https://github.com/open-meteo/open-meteo
• PostgreSQL. Table partitioning (versione 16). https://www.postgresql.org/docs/16/ddl-partitioning.html
• SHAP. https://shap.readthedocs.io

Standard e formati¶

• Cloud Optimized GeoTIFF (COG). https://www.cogeo.org/
• Dati.gov.it, AgID. DCAT-AP_IT, profilo italiano di DCAT-AP. https://www.dati.gov.it/content/dcat-ap-it-v10-profilo-italiano-dcat-ap-0
• GeoParquet. https://geoparquet.org/
• Mapbox. Vector Tile Specification. https://github.com/mapbox/vector-tile-spec
• OASIS. Common Alerting Protocol (CAP) 1.2. https://docs.oasis-open.org/emergency/cap/v1.2/CAP-v1.2-os.html
• OGC. OGC API (Features, Tiles). https://ogcapi.ogc.org/
• OGC. GeoTIFF. https://www.ogc.org/standards/geotiff/
• OGC. NetCDF. https://www.ogc.org/standards/netcdf/
• OGC. SensorThings API. https://www.ogc.org/standards/sensorthings/
• OGC. Web Feature Service (WFS). https://www.ogc.org/standards/wfs/
• OGC. Web Map Service (WMS). https://www.ogc.org/standards/wms/
• Protomaps. PMTiles. https://docs.protomaps.com/pmtiles/
• RFC Editor. RFC 8428, Sensor Measurement Lists (SenML). https://www.rfc-editor.org/rfc/rfc8428
• SEMIC, Commissione europea. DCAT-AP. https://semiceu.github.io/DCAT-AP/
• STAC, SpatioTemporal Asset Catalog. https://stacspec.org/
• Zarr. https://zarr.dev/