> 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/bg/dokumentaciya-na-api/pregled-na-zayavkite-km-geopard-api/90.-zayavka-poluchavane-na-satelliteimagery-danni-po-geometriya.md). # 90. Заявка: Получаване на SatelliteImagery данни по геометрия Вземете статистики за индекс на растителността за всяка произволна геометрия - **не е необходим регистриран границата на поле**. Този крайна точка изчислява обобщени статистики за пикселите в рамките на вашата геометрия, като **игнорира облачни пиксели**. В момента поддържано за **Sentinel2 (S2)** , **Landsat (L4/L5/L7/L8/L9)** и **Planet (PS)** доставчици. {% hint style="danger" %} Тази страница следва моделите на API на GeoPard и [автентикация](https://docs.geopard.tech/geopard-tutorials/api-docs/authorization-apikey-credentials-or-oauth-2.0) използвана в GraphQL крайните точки. {% endhint %} ## Какво можете да направите * Запитване **за индекси на растителност** за **Point, MultiPoint, Polygon и MultiPolygon** геометрии. * Изберете изображения **доставчици**: `S2`, `L4`, `L5`, `L7`, `L8`, `L9`, `PS`. * Вземете **маркирани с дата** резултати за всяко заснемане с: * `безоблачно` - дял от вашата геометрия, който е без облаци, диапазон от 0 до 1, където 1 означава напълно без облаци. * `value` - статистики за избрания индекс, изчислени **само** върху пикселите без облаци, включва `min`, `max`, `avg`, `mdn`, `var`, `std`. * По избор предоставете **диапазони** масив от диапазони на стойности на индекса за изчисляване на покритие. Ако са предоставени, отговорът ще включва `диапазони` поле, показващо какъв процент от площта попада във всеки посочен диапазон. * **Площ, заета от всеки цвят/диапазон** - базирано на стойността на индекса (ниска => висока) * **Процент покритие** - стойност 0..1 за всеки диапазон, представляваща процент от повърхността ## Поддържани индекси `EVI2`, `NDVI`, `RVI`, `LAI`, `OSAVI`, `SAVI`, `GNDVI`, `IPVI`, `GCI`, `WDRVI`, `RCI`, `SBI`, `MCARI1`. Дефинициите на индексите следват [каталога на индексите на растителността](https://docs.geopard.tech/geopard-tutorials/product-tour-web-app/satellite-monitoring/indices-for-crops-and-soils#vegetation-indices) на GeoPard, използван в цялото API. ### Входни параметри
ПолеТипЗадължителноБележки
indexEnum (виж по-горе)✅Индекс на растителността за изчисляване.
доставчици[Provider!]!✅Всяко от S2, L4, L5, L7, L8, L9, PS.
startDateString (ISO8601)✅Включително начало, напр. "2025-05-10T00:00:00.000Z".
endDateString (ISO8601)✅Изключително край или включително край в зависимост от схемата; съобразете с другите си GeoPard заявки.
geojsonString✅A стрингизиран GeoJSON от тип Point / MultiPoint / Polygon / MultiPolygon (WGS84 [lon, lat]). Не забравяйте да избягате кавичките вътре в низа.
диапазони[[Float!]!]❌Масив от [min, max] двойки диапазони на стойности на индекса за изчисляване на статистики за покритие
## **Насоки за производителност** * За Polygon/MultiPolygon геометрии, дръжте диапазоните от дати кратки (**\~10–15 дни**) поради време за обработка. * **Таймаут:** 30 с. Използвайте по-малко дни и/или по-малко доставчици, ако ударите лимита. * За Point/MultiPoint, по-големите диапазони обикновено са добре (точките са леки). ## Форма на отговора ```graphql graphqlCopyEdit{ geojson # ехо на вашата входна геометрия (стрингизиран) data: [ { uuid # id на растерен сцена provider # S2, L8, L9, ... acquisitionDate # ISO8601 cloudfree # фракция 0..1 на площ без облаци value: { index # напр., NDVI min max avg mdn var std } ranges: { value coverage } } ] } ``` ## Пример 1: MultiPolygon с MCARI1 на S2/L8/L9 в рамките на 5-дневен прозорец ### Поискай ```graphql query GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( input: { index: MCARI1 # задайте индекса тук providers: [S2, L8, L9] # сателитни доставчици startDate: "2025-05-10T00:00:00.000Z" # полигони: предпочитайте 10–15 дни; таймаут 30s 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 { # статистики, изчислени само върху пикселите без облаци index min max avg mdn var std } } } } ``` ### Отговор ```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 } } ] } } } ``` ## Пример 2: MultiPoint с NDVI на S2/L8/L9 за 5-дневен прозорец ### Поискай ```graphql query GetSatelliteImageryDataByMultiPoint { getSatelliteImageryDataByGeometry( input: { providers: [S2, L8, L9] index: NDVI startDate: "2025-05-10T00:00:00.000Z" # точките са леки; по-големи прозорци са ОК; таймаут 30s 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 безоблачно value { index min max avg mdn var std } } } } ``` ### Отговор ```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 } } ] } } } ``` ## Пример 3: MultiPolygon с NDVI на S2/L8/L9 с диапазони в рамките на 5-дневен прозорец ### Поискай ```graphql query GetSatelliteImageryDataByMultiPolygon { getSatelliteImageryDataByGeometry( input: { index: NDVI # задайте индекса тук providers: [S2, L8, L9] # сателитни доставчици startDate: "2025-05-10T00:00:00.000Z" # полигони: предпочитайте 10–15 дни; таймаут 30s 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 { # статистики, изчислени само върху пикселите без облаци index min max avg mdn var std } ranges { value coverage # 0..1 } } } } ``` ### Отговор ```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 }, { 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"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/bg/dokumentaciya-na-api/pregled-na-zayavkite-km-geopard-api/90.-zayavka-poluchavane-na-satelliteimagery-danni-po-geometriya.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.