创建解译任务：作物样本模式

POST

http://gykj123.cn:9000/middleground-rsanalysis-task/api/v1/interpret-job/createCropSampleModelInterpretJob

最后修改时间：2023-01-13 01:31:19

责任人：梅柳春

请求参数

Header 参数

Body 参数application/json

示例

{
    "name": "名称",
    "moduleCode": "3",
    "moduleName": "作物样本",
    "qhdm": "37",
    "qhmc": "山东省",
    "labeldm": "07",
    "labelmc": "冬小麦",
    "jcsj": "2022-12-12",
    "imgTypeCode": "S2",
    "imgTypeName": "Sentinel2",
    "imgLevelCode": "2",
    "imgLevelName": "L2A",
    "trainLevelCode": "1",
    "trainLevelName": "全局",
    "resultTypeCode": "1",
    "resultTypeName": "栅格",
    "imgs": "202206_3000,202207_3000,202208_3000",
    "algorithmId": "78a6bdacd0b447668ad381d2fe63e1bf",
    "markId": "252133395927109"
}

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://gykj123.cn:9000/middleground-rsanalysis-task/api/v1/interpret-job/createCropSampleModelInterpretJob' \
--header 'token: {{access_token}}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "名称",
    "moduleCode": "3",
    "moduleName": "作物样本",
    "qhdm": "37",
    "qhmc": "山东省",
    "labeldm": "07",
    "labelmc": "冬小麦",
    "jcsj": "2022-12-12",
    "imgTypeCode": "S2",
    "imgTypeName": "Sentinel2",
    "imgLevelCode": "2",
    "imgLevelName": "L2A",
    "trainLevelCode": "1",
    "trainLevelName": "全局",
    "resultTypeCode": "1",
    "resultTypeName": "栅格",
    "imgs": "202206_3000,202207_3000,202208_3000",
    "algorithmId": "78a6bdacd0b447668ad381d2fe63e1bf",
    "markId": "252133395927109"
}'

返回响应

🟢200成功

application/json

Body

示例

{
    "timestamp": 1670924506805,
    "datetime": "2022-12-13T17:41:46.805",
    "code": 200,
    "message": "成功",
    "success": true
}

修改于 2023-01-13 01:31:19

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