# 90. Užklausa: gauti SatelliteImagery duomenis pagal geometriją

Gaukite vegetacijos indekso statistikas bet kuriai ad hoc geometrijai - **nereikia registruotos lauko ribos**. Šis galinis taškas apskaičiuoja santraukines statistikas pikseliams jūsų geometrijoje, tuo tarpu **ignoruodamas debesuotus pikselius**. Šiuo metu palaikoma: **Sentinel2 (S2)** , **Landsat (L4/L5/L7/L8/L9)** ir **Planet (PS)** tiekėjai.

{% hint style="danger" %}
Šis puslapis atitinka GeoPard API šablonus ir [autentifikavimą](https://docs.geopard.tech/geopard-tutorials/api-docs/authorization-apikey-credentials-or-oauth-2.0) naudojamą GraphQL galiniuose taškuose.
{% endhint %}

## Ką galite daryti

* Užklausa **vegetacijos indeksai** skirti **Point, MultiPoint, Polygon ir MultiPolygon** geometrijos.
* Pasirinkite vaizdus **tiekėjus**: `S2`, `L4`, `L5`, `L7`, `L8`, `L9`, `PS`.&#x20;
* Gauti **su datos žyma** rezultatus už kiekvieną įsigijimą su:
  * `be debesų` - frakcija jūsų geometrijos, kuri yra be debesų, reikšmė nuo 0 iki 1, kur 1 reiškia visiškai be debesų.
  * `reikšmė` - statistika pasirinktam indeksui apskaičiuota **tik** ant be debesų pikselių, įskaitant `min`, `max`, `avg`, `mdn`, `var`, `std`.
* Papildomai pateikite **intervalus** indeksų verčių intervalų masyvas, skirtas apskaičiuoti užimtumo statistikas. Kai pateikta, atsakyme bus įtraukta `intervalus` laukas, rodantis, kokia procentinė dalis ploto patenka į kiekvieną nurodytą intervalą.
  * **Plotas, užimtas kiekvienos spalvos/intervulo** - pagal indekso reikšmę (nuo mažos iki didelės)
  * **Užimtumo procentas** - 0..1 reikšmė už intervalą, atspindinti paviršiaus procentą

## Palaikomi indeksai

`EVI2`, `NDVI`, `RVI`, `LAI`, `OSAVI`, `SAVI`, `GNDVI`, `IPVI`, `GCI`, `WDRVI`, `RCI`, `SBI`, `MCARI1`. Indeksų apibrėžtys atitinka GeoPard [vegetacijos indeksų katalogą](https://docs.geopard.tech/geopard-tutorials/product-tour-web-app/satellite-monitoring/indices-for-crops-and-soils#vegetation-indices) naudojamą visame API.

### Įvesties parametrai

<table><thead><tr><th width="119.93487548828125">Laukas</th><th width="171.1700439453125">Tipas</th><th width="105.841064453125">Reikalinga</th><th>Pastabos</th></tr></thead><tbody><tr><td><code>indeksas</code></td><td>Enum (žiūrėti aukščiau)</td><td>✅</td><td>Vegetacijos indeksas, kurį reikia apskaičiuoti.</td></tr><tr><td><code>tiekėjus</code></td><td><code>[Provider!]!</code></td><td>✅</td><td>Bet kuris iš <code>S2</code>, <code>L4</code>, <code>L5</code>, <code>L7</code>, <code>L8</code>, <code>L9</code>, <code>PS</code>.</td></tr><tr><td><code>startDate</code></td><td><code>String (ISO8601)</code></td><td>✅</td><td>Įtraukianti pradžia, pvz. <code>"2025-05-10T00:00:00.000Z"</code>.</td></tr><tr><td><code>endDate</code></td><td><code>String (ISO8601)</code></td><td>✅</td><td>Išskirtinė pabaiga arba įtraukta pabaiga priklausomai nuo schemos; suderinkite su kitomis GeoPard užklausomis.</td></tr><tr><td><code>geojson</code></td><td><code>String</code></td><td>✅</td><td>A <strong>išverstas į eilutę GeoJSON</strong> tipo <code>Point</code> / <code>MultiPoint</code> / <code>Polygon</code> / <code>MultiPolygon</code> (WGS84 <code>[lon, lat]</code>). Atminkite, kad reikia pabėgti kabutes viduje eilutės.</td></tr><tr><td><code>intervalus</code></td><td>[<code>[Float!]!]</code></td><td><strong>❌</strong></td><td>Masyvas iš <code>[min, max]</code> porų indekso verčių intervalų, skirtų apskaičiuoti užimtumo statistikas</td></tr></tbody></table>

## **Našumo rekomendacijos**

* Poligonų/MultiPolygon geometrijoms palaikykite datos intervalus siaurus (**\~10–15 dienų**) dėl apdorojimo laiko.
* **Timeoutas:** 30 s. Naudokite mažiau dienų ir (arba) mažiau tiekėjų, jei pasiekiate ribą.
* Taškams/MultiPoint paprastai didesni intervalai yra tinkami (taškai yra lengvi).

## Atsakymo forma

```graphql
graphqlKopijuotiRedaguoti{
  geojson              # atspindys jūsų įvestos geometrijos (išverstas į eilutę)
  data: [
    {
      uuid             # rastrinės scenos id
      provider         # S2, L8, L9, ...
      acquisitionDate  # ISO8601
      cloudfree        # 0..1 be debesų ploto frakcija
      value: {
        index          # pvz., NDVI
        min
        max
        avg
        mdn
        var
        std
      }
      ranges: {
        reikšmė
        coverage
      }
    }
  ]
}
```

## Pavyzdys 1: MultiPolygon su MCARI1 S2/L8/L9 per 5 dienų langą

### Užklausti

```graphql
užklausa GetSatelliteImageryDataByMultiPolygon {
  getSatelliteImageryDataByGeometry(
    input: {
      index: MCARI1                # čia nustatykite indeksą
      providers: [S2, L8, L9]      # palydovų tiekėjai
      startDate: "2025-05-10T00:00:00.000Z"  # poligonams: pageidautina 10–15 dienų; 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 {       # statistika apskaičiuota tik ant be debesų pikselių
        indeksas
        min
        max
        avg
        mdn
        var
        std
      }
    }
  }
}
```

### Atsakymas

```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
          }
        }
      ]
    }
  }
}
```

## Pavyzdys 2: MultiPoint su NDVI S2/L8/L9 per 5 dienų langą

### Užklausti

```graphql
užklausa GetSatelliteImageryDataByMultiPoint {
  getSatelliteImageryDataByGeometry(
    input: {
      providers: [S2, L8, L9]
      index: NDVI
      startDate: "2025-05-10T00:00:00.000Z"   # taškai yra lengvi; didesni intervalai galimi; 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
      be debesų
      value {
        indeksas
        min
        max
        avg
        mdn
        var
        std
      }
    }
  }
}
```

### Atsakymas

```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
          }
        }
      ]
    }
  }
}
```

## Pavyzdys 3: MultiPolygon su NDVI S2/L8/L9 su intervalais per 5 dienų langą

### Užklausti

```graphql
užklausa GetSatelliteImageryDataByMultiPolygon {
  getSatelliteImageryDataByGeometry(
    input: {
      index: NDVI                # čia nustatykite indeksą
      providers: [S2, L8, L9]      # palydovų tiekėjai
      startDate: "2025-05-10T00:00:00.000Z"  # poligonams: pageidautina 10–15 dienų; 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 {       # statistika apskaičiuota tik ant be debesų pikselių
        indeksas
        min
        max
        avg
        mdn
        var
        std
      }
      ranges {
        reikšmė
        coverage   # 0..1
      }
    }
  }
}
```

### Atsakymas

```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 },
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  }
}

```


---

# 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/ltu/api-dokumentacija/geopard-api-uzklausu-apzvalga/90.-uzklausa-gauti-satelliteimagery-duomenis-pagal-geometrija.md?ask=<question>
```

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.
