# 90. Forespørgsel: Hent satellitbilleddata efter geometri Hent vegetationsindeks-statistik for enhver ad-hoc-geometri - **ingen registreret markgrænse påkrævet**. Dette endpoint beregner opsummeringsstatistikker for pixels inde i din geometri samtidig med **at ignorere skyede pixels**. Understøttes i øjeblikket på **Sentinel2 (S2)** , **Landsat (L4/L5/L7/L8/L9)** og **Planet (PS)** udbydere. {% hint style="danger" %} Denne side følger GeoPards API-mønstre og [autentificering](https://docs.geopard.tech/geopard-tutorials/api-docs/authorization-apikey-credentials-or-oauth-2.0) bruges på tværs af GraphQL-endpoints. {% endhint %} ## Hvad du kan gøre * Forespørg **vegetationsindeks** for **Point, MultiPoint, Polygon og MultiPolygon** geometrier. * Vælg billedmateriale **udbydere**: `S2`, `L4`, `L5`, `L7`, `L8`, `L9`, `PS`. * Få **dato-stemplede** resultater pr. optagelse med: * `skyfrit` - andel af din geometri der er skyfri, intervallet 0 til 1, hvor 1 betyder fuldt skyfrit. * `value` - statistik for det valgte indeks beregnet **kun** på skyfrie pixels, inkluderer `min`, `max`, `avg`, `mdn`, `var`, `std`. * Valgfrit angiv **intervaller** array af indeks-værdiintervaller til beregning af dækningstatistik. Når det angives, vil svaret inkludere et `intervaller` felt, der viser, hvor stor procentdel af arealet der falder inden for hvert specificeret interval. * **Areal optaget af hver farve/intervall** - baseret på indeksværdi (lav => høj) * **Dækningsprocent** - 0..1 værdi pr. interval, der repræsenterer procentdel af overfladen ## Understøttede indeks `EVI2`, `NDVI`, `RVI`, `LAI`, `OSAVI`, `SAVI`, `GNDVI`, `IPVI`, `GCI`, `WDRVI`, `RCI`, `SBI`, `MCARI1`. Indeksdefinitioner følger GeoPards [vegetationsindeks-katalog](https://docs.geopard.tech/geopard-tutorials/product-tour-web-app/satellite-monitoring/indices-for-crops-and-soils#vegetation-indices) bruges gennem API'en. ### Inputparametre
FeltTypePåkrævetNoter
indeksEnum (se ovenfor)✅Vegetationsindekset der skal beregnes.
udbydere[Provider!]!✅Enhver af S2, L4, L5, L7, L8, L9, PS.
startDateString (ISO8601)✅Inklusiv start, f.eks. "2025-05-10T00:00:00.000Z".
endDateString (ISO8601)✅Eksklusiv slut eller inklusiv slut afhængig af skema; match dine andre GeoPard-forespørgsler.
geojsonString✅En stringificeret GeoJSON af typen Point / MultiPoint / Polygon / MultiPolygon (WGS84 [lon, lat]). Husk at escape anførselstegnene inde i strengen.
intervaller[[Float!]!]❌Array af [min, max] par af indeks-værdiintervaller til beregning af dækningstatistik
## **Ydelsesvejledning** * For Polygon/MultiPolygon-geometrier, hold datointervaller stramme (**\~10–15 dage**) på grund af behandlingstid. * **Timeout:** 30 s. Brug færre dage og/eller færre udbydere hvis du rammer grænsen. * For Point/MultiPoint er større intervaller normalt fine (punkter er lette). ## Svarstruktur ```graphql graphqlKopiRediger{ geojson # echo af din input-geometri (stringificeret) data: [ { uuid # raster scenes id provider # S2, L8, L9, ... acquisitionDate # ISO8601 cloudfree # 0..1 andel af skyfrit areal value: { index # f.eks. NDVI min max avg mdn var std } ranges: { value coverage } } ] } ``` ## Eksempel 1: MultiPolygon med MCARI1 på S2/L8/L9 inden for et 5-dages vindue ### Anmod ```graphql query GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( input: { index: MCARI1 # sæt indeks her providers: [S2, L8, L9] # satellitudbydere startDate: "2025-05-10T00:00:00.000Z" # polygoner: foretræk 10–15 dage; 30s timeout 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 { # statistikker beregnet kun på skyfrie pixels indeks min max avg mdn var std } } } } ``` ### Svar ```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 } } ] } } } ``` ## Eksempel 2: MultiPoint med NDVI på S2/L8/L9 over et 5-dages vindue ### Anmod ```graphql query GetSatelliteImageryDataByMultiPoint { getSatelliteImageryDataByGeometry( input: { providers: [S2, L8, L9] index: NDVI startDate: "2025-05-10T00:00:00.000Z" # punkter er lette; større vinduer OK; 30s timeout 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 skyfrit value { indeks min max avg mdn var std } } } } ``` ### Svar ```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 } } ] } } } ``` ## Eksempel 3: MultiPolygon med NDVI på S2/L8/L9 med intervaller inden for et 5-dages vindue ### Anmod ```graphql query GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( input: { index: NDVI # sæt indeks her providers: [S2, L8, L9] # satellitudbydere startDate: "2025-05-10T00:00:00.000Z" # polygoner: foretræk 10–15 dage; 30s timeout 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 { # statistikker beregnet kun på skyfrie pixels indeks min max avg mdn var std } ranges { value coverage # 0..1 } } } } ``` ### Svar ```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: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.geopard.tech/geopard-tutorials/dnk/api-dokumentation/oversigt-over-geopard-api-anmodninger/90.-foresporgsel-hent-satellitbilleddata-efter-geometri.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.