{"agent_hint":"Polygon aggregation: when a place name resolves to a feature with extent (airport, park, lake, region), the boring endpoint fans out to `polygon.sample_cells` and returns mean/median/min/max/std per band (mode + class distribution for categorical bands like esa_worldcover.lc_2021). Pass `n_cells:1` to force a single-cell read at the centroid; use POST /v1/recall_polygon for raw per-cell facts.","bands":{"sentinel1_raw":{"aggregator":"mean","band_metadata":{"description":"Sentinel-1 RTC (Radiometrically Terrain Corrected) C-band SAR backscatter in dB. Two slots (VV, VH) but only VV is currently materialized.","interpretation":"Higher values = more backscatter = rougher / wetter / more vertical-structured surface. Smooth water sits near −20 dB; bare soil −12 to −8; forest canopy −10 to −6; urban can exceed 0. Works at night and through cloud — the all-weather complement to `indices.ndvi`.","pitfalls":"VH slot is reserved but currently unattested. Treat sentinel1_raw as a 1-vector (VV-only) when no VH-bearing attestation is present at the cell. Speckle noise is significant — average a 3×3 cell window before drawing inference.","provenance":{"class":"direct_sensor","deterministic":true,"tamper_evidence":"recomputable_from_source","trust_rank":5},"references":"https://sentiwiki.copernicus.eu/web/s1-mission","units":"dB (10·log₁₀ of linear gamma-naught power)","value_range":[-30,5]},"captured_at_range":["2026-10-13T22:05:05Z","2026-10-13T22:05:05Z"],"cell_dedupe_m":10,"data_resolution_m":10,"fact_cids":["dnv3lukth6ulocmidjmnkmcdrhmsvul7rtx2df6c4awkoey3tkqa","cjz3b3i6xlnsiekl77zuuucyy7ask37x7c3vji7zlctgls5fnata","k4a63a2ll2ehk3n6gpbhkl4yjew4xrjvbjhoe7wanmgictvqcppq","cy4ndke6henyhjkd2zeubpznk65p4rmasie7tkmrncjxtqjz4xya","agy6myjpdjwq3jhuntvqfufvv6vxp64x7rfidlczl2hhlryxae5a","kfprv3v5yb3chylyrqkdssrqj6h2ljjktztgsmrhdgzszyklssxq","axcxkhkorryliyds4iop2z37nhm3agbxo6py5uwsagom3rialz5q","qtaticxubabfq2borl5skujxku7uxvpqempu3ciacehc26s7xevq"],"kind":"numeric_scalar","memory_tokens":["emem:fact:defi.zb509.zAbA.heqA:dnv3lukth6ulocmidjmnkmcdrhmsvul7rtx2df6c4awkoey3tkqa","emem:fact:defi.zb509.zAbA.heqi:cjz3b3i6xlnsiekl77zuuucyy7ask37x7c3vji7zlctgls5fnata","emem:fact:defi.zb509.zAbA.heri:k4a63a2ll2ehk3n6gpbhkl4yjew4xrjvbjhoe7wanmgictvqcppq","emem:fact:defi.zb509.zEhe.heri:cy4ndke6henyhjkd2zeubpznk65p4rmasie7tkmrncjxtqjz4xya","emem:fact:defi.zb509.zulI.heqA:agy6myjpdjwq3jhuntvqfufvv6vxp64x7rfidlczl2hhlryxae5a","emem:fact:defi.zb509.zulI.heqU:kfprv3v5yb3chylyrqkdssrqj6h2ljjktztgsmrhdgzszyklssxq","emem:fact:defi.zb509.zulI.heqi:axcxkhkorryliyds4iop2z37nhm3agbxo6py5uwsagom3rialz5q","emem:fact:defi.zb509.zulI.heri:qtaticxubabfq2borl5skujxku7uxvpqempu3ciacehc26s7xevq"],"n":8,"n_missing":8,"responder_pubkey_b32":"cfvys4rv62o3kxduhuzlx5bqavbcg5rofrhk56wh5gkeprrkwxaa","source":"sentinel_s1_rtc_mpc","stats":{"cos_lat_weighting_applied":true,"max":-4.960891467232059,"mean":-9.064466681045985,"median":-9.7507887916964,"min":-11.79962797716823,"n":8,"n_missing":8,"std":2.0861543839867136},"unit":"dB","value":-9.064466681045985,"value_per_cell_count":8},"surface_water.recurrence":{"aggregator":"mean","band_metadata":{"description":"JRC Global Surface Water v1.4 features at 30 m: recurrence, occurrence, seasonality, transitions (1984–2021 climatology) plus current-year occurrence updates.","inherited_from_cube_band":"surface_water","interpretation":"`recurrence` is the canonical signed answer to 'has this cell historically been wet?' — 0 = never water, 100 = water every year of the record. `occurrence` adds current-year updates. Use for flood-baseline reasoning, not real-time inundation (for that use Sentinel-1 + radar water).","pitfalls":"Bounded ±60° latitude (JRC's observation footprint). Polar regions return Absence. Glacier and turbid-river cells can score high recurrence without being navigable open water.","provenance":{"caution":"model output: a learned representation, not a measurement. Subject to training bias, domain shift, and encoder revision; treat as a hypothesis and corroborate against a deterministic band before load-bearing use.","class":"model_output","deterministic":false,"tamper_evidence":"signed_model_checkpoint","trust_rank":2},"references":"Pekel et al. 2016 (Nature)","units":"percent / class codes","value_range":[0,100]},"captured_at_range":["2026-10-13T22:05:03Z","2026-10-13T22:05:05Z"],"cell_dedupe_m":10,"data_resolution_m":30,"fact_cids":["5axiqnd776vn7ql3v2bk6wghgy5lglb3lh3rdjpsh2wkcdhocmha","ikgm2tg2aje6dtreyg3vcvzsbwhx6dfpln5qgv7aa3gt3tjhlgfq","2a5pijt6ofzfoiy4icdtcmbfwkcjp2wfrg7erzpcunakulouk4bq","w72bfspcnudmhx7a3hx6n2ruxrdlfsoajhrltjp4pyvzz27eckwa","nxuanes4cduk4dvkowjqfwemenpbvwrm5fhad4lioqns3gla6njq","uwwkiw4pgqud3sogkoumz63tmztuiehp5obc65cvvisa3kgq6bya","f3bqqjjn645jm5y3scsherofaq7sspkw6dhryedxzxsa7hexsteq","yasntnlt7kf2phv6fqjellvsmyht2aha5g4evgphgd76xxfsjzta"],"kind":"numeric_scalar","memory_tokens":["emem:fact:defi.zb509.zAbA.heqA:5axiqnd776vn7ql3v2bk6wghgy5lglb3lh3rdjpsh2wkcdhocmha","emem:fact:defi.zb509.zAbA.heqi:ikgm2tg2aje6dtreyg3vcvzsbwhx6dfpln5qgv7aa3gt3tjhlgfq","emem:fact:defi.zb509.zAbA.heri:2a5pijt6ofzfoiy4icdtcmbfwkcjp2wfrg7erzpcunakulouk4bq","emem:fact:defi.zb509.zEhe.heri:w72bfspcnudmhx7a3hx6n2ruxrdlfsoajhrltjp4pyvzz27eckwa","emem:fact:defi.zb509.zulI.heqA:nxuanes4cduk4dvkowjqfwemenpbvwrm5fhad4lioqns3gla6njq","emem:fact:defi.zb509.zulI.heqU:uwwkiw4pgqud3sogkoumz63tmztuiehp5obc65cvvisa3kgq6bya","emem:fact:defi.zb509.zulI.heqi:f3bqqjjn645jm5y3scsherofaq7sspkw6dhryedxzxsa7hexsteq","emem:fact:defi.zb509.zulI.heri:yasntnlt7kf2phv6fqjellvsmyht2aha5g4evgphgd76xxfsjzta"],"n":8,"n_missing":8,"responder_pubkey_b32":"cfvys4rv62o3kxduhuzlx5bqavbcg5rofrhk56wh5gkeprrkwxaa","source":"jrc.gsw.v1_4.recurrence","stats":{"cos_lat_weighting_applied":true,"max":0.0,"mean":0.0,"median":0.0,"min":0.0,"n":8,"n_missing":8,"std":0.0},"unit":"percent","value":0.0,"value_per_cell_count":8}},"cell_dedupe_m":10,"cold_cells_skipped":8,"cold_cells_skipped_note":"8 cold cell(s) were not materialised this request to stay within the latency budget (EMEM_BORING_COLD_CAP=8). They are counted as missing in the aggregate, so `partial` is true. Re-query to warm more, lower n_cells, or query a specific cell for guaranteed coverage.","coverage_fraction":0.5,"is_exhaustive":false,"lat":23.348949,"lon":85.3052082,"materialize_notes":[{"band":"surface_water.recurrence","fact_cid":"f3bqqjjn645jm5y3scsherofaq7sspkw6dhryedxzxsa7hexsteq","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"axcxkhkorryliyds4iop2z37nhm3agbxo6py5uwsagom3rialz5q","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"2a5pijt6ofzfoiy4icdtcmbfwkcjp2wfrg7erzpcunakulouk4bq","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"k4a63a2ll2ehk3n6gpbhkl4yjew4xrjvbjhoe7wanmgictvqcppq","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"ikgm2tg2aje6dtreyg3vcvzsbwhx6dfpln5qgv7aa3gt3tjhlgfq","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"cjz3b3i6xlnsiekl77zuuucyy7ask37x7c3vji7zlctgls5fnata","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"w72bfspcnudmhx7a3hx6n2ruxrdlfsoajhrltjp4pyvzz27eckwa","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"cy4ndke6henyhjkd2zeubpznk65p4rmasie7tkmrncjxtqjz4xya","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"nxuanes4cduk4dvkowjqfwemenpbvwrm5fhad4lioqns3gla6njq","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"agy6myjpdjwq3jhuntvqfufvv6vxp64x7rfidlczl2hhlryxae5a","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"yasntnlt7kf2phv6fqjellvsmyht2aha5g4evgphgd76xxfsjzta","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"qtaticxubabfq2borl5skujxku7uxvpqempu3ciacehc26s7xevq","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"uwwkiw4pgqud3sogkoumz63tmztuiehp5obc65cvvisa3kgq6bya","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"kfprv3v5yb3chylyrqkdssrqj6h2ljjktztgsmrhdgzszyklssxq","status":"materialized"},{"band":"surface_water.recurrence","fact_cid":"5axiqnd776vn7ql3v2bk6wghgy5lglb3lh3rdjpsh2wkcdhocmha","status":"materialized"},{"band":"sentinel1_raw","fact_cid":"dnv3lukth6ulocmidjmnkmcdrhmsvul7rtx2df6c4awkoey3tkqa","status":"materialized"}],"n_cells_queried":16,"n_cells_returned":8,"next":{"deep_recall":"POST /v1/recall {cell:'<cell64>', bands:[…]}","fact_dereference":"GET /v1/facts/{fact_cid}","raw_per_cell":"POST /v1/recall_polygon {polygon_bbox:{min_lat:23.3485432,max_lat:23.3491375,min_lng:85.3045995,max_lng:85.3058122}, bands:[…]}","verify_offline":"POST /v1/verify_receipt {receipt}"},"partial":true,"place_label":"ashok nagar park (park), Jharkhand, India","place_resolution":{"area_km2":0.008152658500074548,"confidence_reason":"geocoder_high_importance","input_query":"Ashok Nagar Ranchi","is_high_confidence":true,"resolved_label":"ashok nagar park (park), Jharkhand, India","via":"locate:photon"},"polygon":{"area_km2":0.008152658500074548,"bbox":{"max_lat":23.3491375,"max_lng":85.3058122,"min_lat":23.3485432,"min_lng":85.3045995},"n_sample_cells":16,"sample_cells":["defi.zb509.zulI.heqi","defi.zb509.zulI.heqA","defi.zb509.zulI.heqU","defi.zb509.zulI.heri","defi.zb509.zAbA.heqi","defi.zb509.zAbA.heqA","defi.zb509.zAbA.heqU","defi.zb509.zAbA.heri","defi.zb509.zAro.heqi","defi.zb509.zAro.heqA","defi.zb509.zAro.heqU","defi.zb509.zAro.heri","defi.zb509.zEhe.heqi","defi.zb509.zEhe.heqA","defi.zb509.zEhe.heqU","defi.zb509.zEhe.heri"],"scene_overlay_url":"/v1/places/scene_overlay.svg?place=ashok%20nagar%20park%20(park)&band=surface_water.recurrence&n_cells=16","scene_thumbs_count":16,"source":"nominatim_boundingbox"},"responder_pubkey_b32":"cfvys4rv62o3kxduhuzlx5bqavbcg5rofrhk56wh5gkeprrkwxaa","served_at":"2026-10-13T22:05:05Z","via":"locate:photon"}