> For the complete documentation index, see [llms.txt](https://docs.geopard.tech/geopard-tutorials/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.geopard.tech/geopard-tutorials/svn/dokumentacija-api/pregled-zahtevkov-api-ja-geopard/90.-poizvedba-pridobi-podatke-satelliteimagery-po-geometriji.md). # 90. Poizvedba: pridobi podatke SatelliteImagery po geometriji Pridobite statistiko indeksa rastlinstva za poljubno ad-hoc geometrijo - **ni potreben registriran mejnik polja**. Ta končna točka izračuna povzetne statistike za piksle znotraj vaše geometrije, medtem ko **spregleda oblačne piksle**. Trenutno podprto na **Sentinel2 (S2)** , **Landsat (L4/L5/L7/L8/L9)** in **Planet (PS)** ponudnikih. {% hint style="danger" %} Ta stran sledi vzorcem GeoPardovega API-ja in [overjanju](https://docs.geopard.tech/geopard-tutorials/api-docs/authorization-apikey-credentials-or-oauth-2.0) uporabljenemu pri GraphQL končnih točkah. {% endhint %} ## Kaj lahko naredite * Poizvedujete **indekse rastlinstva** za **Point, MultiPoint, Polygon in MultiPolygon** geometrije. * Izberite satelitske posnetke **ponudnike**: `S2`, `L4`, `L5`, `L7`, `L8`, `L9`, `PS`. * Pridobite **označene z datumom** rezultate za vsak posnetek z: * `brez oblakov` - delež vaše geometrije, ki je brez oblakov, v območju od 0 do 1, kjer 1 pomeni popolnoma brez oblakov. * `vrednost` - statistike za izbran indeks izračunane **samo** na pikslah brez oblakov, vključuje `min`, `max`, `avg`, `mdn`, `var`, `std`. * Neobvezno zagotovite **intervale** polje z nizi vrednostnih razponov indeksa za izračun statistike pokritosti. Če je zagotovljeno, bo odgovor vseboval `intervale` polje, ki prikazuje, kateri odstotek površine spada v vsak določen razpon. * **Površina, zasedena za vsako barvo/razpon** - na podlagi vrednosti indeksa (nizko => visoko) * **Odstotek pokritosti** - vrednost 0..1 na razpon, ki predstavlja odstotek površine ## Podprti indeksi `EVI2`, `NDVI`, `RVI`, `LAI`, `OSAVI`, `SAVI`, `GNDVI`, `IPVI`, `GCI`, `WDRVI`, `RCI`, `SBI`, `MCARI1`. Definicije indeksov sledijo GeoPardovemu [katalogu indeksov rastlinstva](https://docs.geopard.tech/geopard-tutorials/product-tour-web-app/satellite-monitoring/indices-for-crops-and-soils#vegetation-indices) uporabljenemu po celotnem API-ju. ### Vhodni parametri
PoljeTipZahtevanoOpombe
indeksEnum (glejte zgoraj)✅Indeks rastlinstva za izračun.
ponudnike[Provider!]!✅Katerikoli od S2, L4, L5, L7, L8, L9, PS.
startDateNiz (ISO8601)✅Vključen začetek, npr. "2025-05-10T00:00:00.000Z".
endDateNiz (ISO8601)✅Izključen konec ali vključen konec glede na shemo; uskladite z ostalimi GeoPard poizvedbami.
geojsonNiz✅A stringificiran GeoJSON tipa Point / MultiPoint / Polygon / MultiPolygon (WGS84 [lon, lat]). Ne pozabite escapati narekovajev znotraj niza.
intervale[[Float!]!]❌Polje [min, max] pare vrednostnih razponov indeksa za izračun statistike pokritosti
## **Smernice za zmogljivost** * Za geometrije Polygon/MultiPolygon naj bodo časovna obdobja ozka (**\~10–15 dni**) zaradi časa obdelave. * **Časovna omejitev:** 30 s. Uporabite manj dni in/ali manj ponudnikov, če naletite na omejitev. * Za Point/MultiPoint so običajno večja obdobja v redu (točke so manj zahtevne). ## Oblika odgovora ```graphql graphqlKopirajUredi{ geojson # odmevek vaše vhodne geometrije (stringificirana) data: [ { uuid # id rastrske scene provider # S2, L8, L9, ... acquisitionDate # ISO8601 cloudfree # delež površine brez oblakov 0..1 value: { index # npr. NDVI min max avg mdn var std } ranges: { vrednost coverage } } ] } ``` ## Primer 1: MultiPolygon z MCARI1 na S2/L8/L9 v 5-dnevnem oknu ### Zahtevaj ```graphql poizvedba GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( vnos: { index: MCARI1 # nastavite indeks tukaj providers: [S2, L8, L9] # satelitski ponudniki startDate: "2025-05-10T00:00:00.000Z" # poligoni: prednost 10–15 dni; 30s časovna omejitev endDate: "2025-05-15T00:00:00.000Z" geojson: "{\"type\": \"MultiPolygon\", \"coordinates\":[ [ [ [ 8.09058546, 50.21774961 ], [ 8.09291004, 50.21836077 ], [ 8.09328559, 50.21844893 ], [ 8.09341412, 50.21777585 ], [ 8.09342329, 50.21768228 ], [ 8.09342736, 50.21748691 ], [ 8.09342239, 50.21741988 ], [ 8.09331503, 50.2169872 ], [ 8.09327725, 50.21680672 ], [ 8.0932114, 50.21679383 ], [ 8.09307662, 50.216784 ], [ 8.09268795, 50.21672443 ], [ 8.09256905, 50.21670175 ], [ 8.09160986, 50.21647789 ], [ 8.09153097, 50.21647138 ], [ 8.09144745, 50.216479 ], [ 8.09128792, 50.21653615 ], [ 8.09124139, 50.21654808 ], [ 8.09119362, 50.21655407 ], [ 8.09085379, 50.21653536 ], [ 8.09039423, 50.21649463 ], [ 8.09006609, 50.21646137 ], [ 8.08994025, 50.21644261 ], [ 8.08956206, 50.21636986 ], [ 8.08937343, 50.21632184 ], [ 8.08881276, 50.21616093 ], [ 8.08860924, 50.21608589 ], [ 8.08848952, 50.21605007 ], [ 8.08841856, 50.21616403 ], [ 8.08836721, 50.2162167 ], [ 8.08830625, 50.21626762 ], [ 8.08801583, 50.21648103 ], [ 8.08783363, 50.21660479 ], [ 8.08757577, 50.21677569 ], [ 8.08741435, 50.21686857 ], [ 8.08769592, 50.21696741 ], [ 8.08853411, 50.21720846 ], [ 8.08965086, 50.2174967 ], [ 8.09058546, 50.21774961 ] ] ] ]}" } ) { geojson data { uuid provider acquisitionDate cloudfree # 0..1 value { # statistike izračunane le na pikslah brez oblakov indeks min max avg mdn var std } } } } ``` ### Odgovor ```json { "data": { "getSatelliteImageryDataByGeometry": { "geojson": "\"{\\\"type\\\": \\\"MultiPolygon\\\", \\\"coordinates\\\": [[[[8.09058546, 50.21774961], [8.09291004, 50.21836077], [8.09328559, 50.21844893], [8.09341412, 50.21777585], [8.09342329, 50.21768228], [8.09342736, 50.21748691], [8.09342239, 50.21741988], [8.09331503, 50.2169872], [8.09327725, 50.21680672], [8.0932114, 50.21679383], [8.09307662, 50.216784], [8.09268795, 50.21672443], [8.09256905, 50.21670175], [8.09160986, 50.21647789], [8.09153097, 50.21647138], [8.09144745, 50.216479], [8.09128792, 50.21653615], [8.09124139, 50.21654808], [8.09119362, 50.21655407], [8.09085379, 50.21653536], [8.09039423, 50.21649463], [8.09006609, 50.21646137], [8.08994025, 50.21644261], [8.08956206, 50.21636986], [8.08937343, 50.21632184], [8.08881276, 50.21616093], [8.08860924, 50.21608589], [8.08848952, 50.21605007], [8.08841856, 50.21616403], [8.08836721, 50.2162167], [8.08830625, 50.21626762], [8.08801583, 50.21648103], [8.08783363, 50.21660479], [8.08757577, 50.21677569], [8.08741435, 50.21686857], [8.08769592, 50.21696741], [8.08853411, 50.21720846], [8.08965086, 50.2174967], [8.09058546, 50.21774961]]]]}\"", "data": [ { "uuid": "16c45077-3138-5a9a-9947-d9e54ea77e38", "provider": "S2", "acquisitionDate": "2025-05-13T10:37:03.661000+00:00", "cloudfree": 1, "value": { "index": "MCARI1", "min": 3026.88, "max": 6452.881, "avg": 5020.917, "mdn": 5086.56, "var": 437905.281, "std": 661.744 } }, { "uuid": "cf5d9e51-c0db-5e02-bf97-35c3e7a0fe07", "provider": "S2", "acquisitionDate": "2025-05-13T10:47:13.154000+00:00", "cloudfree": 1, "value": { "index": "MCARI1", "min": 3441.96, "max": 6722.04, "avg": 5333.138, "mdn": 5403.36, "var": 372277.75, "std": 610.146 } }, { "uuid": "de9b6b8a-a195-5694-98a0-f17e8122855d", "provider": "S2", "acquisitionDate": "2025-05-11T10:47:17.500000+00:00", "cloudfree": "0.5547445255474452", "value": { "index": "MCARI1", "min": 3438.96, "max": 6495.96, "avg": 5176.501, "mdn": 5181, "var": 377633.031, "std": 614.519 } }, { "uuid": "917b3657-3ddc-5f43-b39f-5d8493282bde", "provider": "S2", "acquisitionDate": "2025-05-10T10:37:15.656000+00:00", "cloudfree": 1, "value": { "index": "MCARI1", "min": 3395.88, "max": 6272.881, "avg": 4975.816, "mdn": 4999.56, "var": 333405.031, "std": 577.412 } }, { "uuid": "3fc7ed30-677a-5430-a10b-3490d903616c", "provider": "L8", "acquisitionDate": "2025-05-12T10:21:17.302000+00:00", "cloudfree": 1, "value": { "index": "MCARI1", "min": 3171.24, "max": 5361, "avg": 4227.754, "mdn": 4267.68, "var": 261266, "std": 511.142 } }, { "uuid": "f3d1bd32-e3c8-5260-ba4c-d84c6a171986", "provider": "L9", "acquisitionDate": "2025-05-13T10:15:17.115000+00:00", "cloudfree": 1, "value": { "index": "MCARI1", "min": 3353.52, "max": 5451.72, "avg": 4428.534, "mdn": 4491.48, "var": 306042.719, "std": 553.211 } } ] } } } ``` ## Primer 2: MultiPoint z NDVI na S2/L8/L9 v 5-dnevnem oknu ### Zahtevaj ```graphql poizvedba GetSatelliteImageryDataByMultiPoint { getSatelliteImageryDataByGeometry( vnos: { providers: [S2, L8, L9] indeks: NDVI startDate: "2025-05-10T00:00:00.000Z" # točke so manj zahtevne; večja okna so v redu; 30s časovna omejitev endDate: "2025-05-15T00:00:00.000Z" geojson: "{\"type\": \"MultiPoint\", \"coordinates\": [[8.088754, 50.216859],[8.092651, 50.216905],[ 8.090799, 50.217442]]}" } ) { geojson data { uuid provider acquisitionDate brez oblakov value { indeks min max avg mdn var std } } } } ``` ### Odgovor ```json { "data": { "getSatelliteImageryDataByGeometry": { "geojson": "\"{\\\"type\\\": \\\"MultiPoint\\\", \\\"coordinates\\\": [[8.088754, 50.216859], [8.092651, 50.216905], [8.090799, 50.217442]]}\"", "data": [ { "uuid": "cf5d9e51-c0db-5e02-bf97-35c3e7a0fe07", "provider": "S2", "acquisitionDate": "2025-05-13T10:47:13.154000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.712, "max": 0.873, "avg": 0.815, "mdn": 0.824, "var": 0.002, "std": 0.041 } }, { "uuid": "16c45077-3138-5a9a-9947-d9e54ea77e38", "provider": "S2", "acquisitionDate": "2025-05-13T10:37:03.661000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.642, "max": 0.856, "avg": 0.779, "mdn": 0.794, "var": 0.003, "std": 0.055 } }, { "uuid": "de9b6b8a-a195-5694-98a0-f17e8122855d", "provider": "S2", "acquisitionDate": "2025-05-11T10:47:17.500000+00:00", "cloudfree": "0.6363636363636364", "value": { "index": "NDVI", "min": 0.762, "max": 0.857, "avg": 0.826, "mdn": 0.83, "var": 0.001, "std": 0.029 } }, { "uuid": "917b3657-3ddc-5f43-b39f-5d8493282bde", "provider": "S2", "acquisitionDate": "2025-05-10T10:37:15.656000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.667, "max": 0.854, "avg": 0.79, "mdn": 0.802, "var": 0.002, "std": 0.048 } }, { "uuid": "3fc7ed30-677a-5430-a10b-3490d903616c", "provider": "L8", "acquisitionDate": "2025-05-12T10:21:17.302000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.746, "max": 0.87, "avg": 0.814, "mdn": 0.833, "var": 0.002, "std": 0.039 } }, { "uuid": "f3d1bd32-e3c8-5260-ba4c-d84c6a171986", "provider": "L9", "acquisitionDate": "2025-05-13T10:15:17.115000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.707, "max": 0.85, "avg": 0.795, "mdn": 0.813, "var": 0.002, "std": 0.05 } } ] } } } ``` ## Primer 3: MultiPolygon z NDVI na S2/L8/L9 z razponi v 5-dnevnem oknu ### Zahtevaj ```graphql poizvedba GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( vnos: { index: NDVI # nastavite indeks tukaj providers: [S2, L8, L9] # satelitski ponudniki startDate: "2025-05-10T00:00:00.000Z" # poligoni: prednost 10–15 dni; 30s časovna omejitev endDate: "2025-05-15T00:00:00.000Z" geojson: "{\"type\": \"MultiPolygon\", \"coordinates\":[ [ [ [ 8.09058546, 50.21774961 ], [ 8.09291004, 50.21836077 ], [ 8.09328559, 50.21844893 ], [ 8.09341412, 50.21777585 ], [ 8.09342329, 50.21768228 ], [ 8.09342736, 50.21748691 ], [ 8.09342239, 50.21741988 ], [ 8.09331503, 50.2169872 ], [ 8.09327725, 50.21680672 ], [ 8.0932114, 50.21679383 ], [ 8.09307662, 50.216784 ], [ 8.09268795, 50.21672443 ], [ 8.09256905, 50.21670175 ], [ 8.09160986, 50.21647789 ], [ 8.09153097, 50.21647138 ], [ 8.09144745, 50.216479 ], [ 8.09128792, 50.21653615 ], [ 8.09124139, 50.21654808 ], [ 8.09119362, 50.21655407 ], [ 8.09085379, 50.21653536 ], [ 8.09039423, 50.21649463 ], [ 8.09006609, 50.21646137 ], [ 8.08994025, 50.21644261 ], [ 8.08956206, 50.21636986 ], [ 8.08937343, 50.21632184 ], [ 8.08881276, 50.21616093 ], [ 8.08860924, 50.21608589 ], [ 8.08848952, 50.21605007 ], [ 8.08841856, 50.21616403 ], [ 8.08836721, 50.2162167 ], [ 8.08830625, 50.21626762 ], [ 8.08801583, 50.21648103 ], [ 8.08783363, 50.21660479 ], [ 8.08757577, 50.21677569 ], [ 8.08741435, 50.21686857 ], [ 8.08769592, 50.21696741 ], [ 8.08853411, 50.21720846 ], [ 8.08965086, 50.2174967 ], [ 8.09058546, 50.21774961 ] ] ] ]}" ranges: [ [0.0, 0.5], [0.5, 0.55], [0.55, 0.6], [0.6, 0.65], [0.65, 0.7], [0.7, 0.75], [0.75, 0.8], [0.8, 0.85], [0.85, 0.9] ] } ) { geojson data { uuid provider acquisitionDate cloudfree # 0..1 value { # statistike izračunane le na pikslah brez oblakov indeks min max avg mdn var std } ranges { vrednost coverage # 0..1 } } } } ``` ### Odgovor ```json { "data": { "getSatelliteImageryDataByGeometry": { "geojson": "{\"type\":\"MultiPolygon\",\"coordinates\":[[[[8.09058546,50.21774961],[8.09291004,50.21836077],[8.09328559,50.21844893],[8.09341412,50.21777585],[8.09342329,50.21768228],[8.09342736,50.21748691],[8.09342239,50.21741988],[8.09331503,50.2169872],[8.09327725,50.21680672],[8.0932114,50.21679383],[8.09307662,50.216784],[8.09268795,50.21672443],[8.09256905,50.21670175],[8.09160986,50.21647789],[8.09153097,50.21647138],[8.09144745,50.216479],[8.09128792,50.21653615],[8.09124139,50.21654808],[8.09119362,50.21655407],[8.09085379,50.21653536],[8.09039423,50.21649463],[8.09006609,50.21646137],[8.08994025,50.21644261],[8.08956206,50.21636986],[8.08937343,50.21632184],[8.08881276,50.21616093],[8.08860924,50.21608589],[8.08848952,50.21605007],[8.08841856,50.21616403],[8.08836721,50.2162167],[8.08830625,50.21626762],[8.08801583,50.21648103],[8.08783363,50.21660479],[8.08757577,50.21677569],[8.08741435,50.21686857],[8.08769592,50.21696741],[8.08853411,50.21720846],[8.08965086,50.2174967],[8.09058546,50.21774961]]]]}", "data": [ { "uuid": "cf5d9e51-c0db-5e02-bf97-35c3e7a0fe07", "provider": "S2", "acquisitionDate": "2025-05-13T10:47:13.154000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.625, "max": 0.873, "avg": 0.795, "mdn": 0.808, "var": 0.003, "std": 0.051 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0 }, { "value": [0.55, 0.6], "coverage": 0 }, { "value": [0.6, 0.65], "coverage": 0.0089 }, { "value": [0.65, 0.7], "coverage": 0.0514 }, { "value": [0.7, 0.75], "coverage": 0.1288 }, { "value": [0.75, 0.8], "coverage": 0.2603 }, { "value": [0.8, 0.85], "coverage": 0.4575 }, { "value": [0.85, 0.9], "coverage": 0.0932 } ] }, { "uuid": "917b3657-3ddc-5f43-b39f-5d8493282bde", "provider": "S2", "acquisitionDate": "2025-05-10T10:37:15.656000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.585, "max": 0.854, "avg": 0.768, "mdn": 0.78, "var": 0.003, "std": 0.056 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0 }, { "value": [0.55, 0.6], "coverage": 0.0014 }, { "value": [0.6, 0.65], "coverage": 0.0342 }, { "value": [0.65, 0.7], "coverage": 0.1205 }, { "value": [0.7, 0.75], "coverage": 0.161 }, { "value": [0.75, 0.8], "coverage": 0.3233 }, { "value": [0.8, 0.85], "coverage": 0.3479 }, { "value": [0.85, 0.9], "coverage": 0.0116 } ] }, { "uuid": "16c45077-3138-5a9a-9947-d9e54ea77e38", "provider": "S2", "acquisitionDate": "2025-05-13T10:37:03.661000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.548, "max": 0.856, "avg": 0.756, "mdn": 0.769, "var": 0.004, "std": 0.061 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0.0021 }, { "value": [0.55, 0.6], "coverage": 0.011 }, { "value": [0.6, 0.65], "coverage": 0.05 }, { "value": [0.65, 0.7], "coverage": 0.1198 }, { "value": [0.7, 0.75], "coverage": 0.2231 }, { "value": [0.75, 0.8], "coverage": 0.295 }, { "value": [0.8, 0.85], "coverage": 0.295 }, { "value": [0.85, 0.9], "coverage": 0.0041 } ] }, { "uuid": "de9b6b8a-a195-5694-98a0-f17e8122855d", "provider": "S2", "acquisitionDate": "2025-05-11T10:47:17.500000+00:00", "cloudfree": 0.6067415730337079, "value": { "index": "NDVI", "min": 0.613, "max": 0.865, "avg": 0.782, "mdn": 0.793, "var": 0.003, "std": 0.054 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0 }, { "value": [0.55, 0.6], "coverage": 0 }, { "value": [0.6, 0.65], "coverage": 0.0311 }, { "value": [0.65, 0.7], "coverage": 0.0377 }, { "value": [0.7, 0.75], "coverage": 0.1964 }, { "value": [0.75, 0.8], "coverage": 0.3097 }, { "value": [0.8, 0.85], "coverage": 0.3541 }, { "value": [0.85, 0.9], "coverage": 0.071 } ] }, { "uuid": "3fc7ed30-677a-5430-a10b-3490d903616c", "provider": "L8", "acquisitionDate": "2025-05-12T10:21:17.302000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.619, "max": 0.87, "avg": 0.781, "mdn": 0.793, "var": 0.003, "std": 0.055 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0 }, { "value": [0.55, 0.6], "coverage": 0 }, { "value": [0.6, 0.65], "coverage": 0.0098 }, { "value": [0.65, 0.7], "coverage": 0.0784 }, { "value": [0.7, 0.75], "coverage": 0.201 }, { "value": [0.75, 0.8], "coverage": 0.2451 }, { "value": [0.8, 0.85], "coverage": 0.3873 }, { "value": [0.85, 0.9], "coverage": 0.0784 } ] }, { "uuid": "f3d1bd32-e3c8-5260-ba4c-d84c6a171986", "provider": "L9", "acquisitionDate": "2025-05-13T10:15:17.115000+00:00", "cloudfree": 1, "value": { "index": "NDVI", "min": 0.617, "max": 0.85, "avg": 0.769, "mdn": 0.782, "var": 0.003, "std": 0.055 }, "ranges": [ { "value": [0, 0.5], "coverage": 0 }, { "value": [0.5, 0.55], "coverage": 0 }, { "value": [0.55, 0.6], "coverage": 0 }, { "value": [0.6, 0.65], "coverage": 0.0495 }, { "value": [0.65, 0.7], "coverage": 0.0842 }, { "value": [0.7, 0.75], "coverage": 0.203 }, { "value": [0.75, 0.8], "coverage": 0.3069 }, { "value": [0.8, 0.85], "coverage": 0.3465 }, { "value": [0.85, 0.9], "coverage": 0.0099 } ] } ] } } } ``` --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.geopard.tech/geopard-tutorials/svn/dokumentacija-api/pregled-zahtevkov-api-ja-geopard/90.-poizvedba-pridobi-podatke-satelliteimagery-po-geometriji.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.