发出数据层请求

dataLayers 端点提供详细信息, 指定位置周围区域的信息。该端点会返回 17 个可下载的 TIFF 文件,包括:

  • 数字平台模型 (DSM)
  • RGB 复合图层(航拍图像)
  • 用于标识分析边界的遮盖层
  • 年度太阳能通量,或给定表面的年产量
  • 月太阳能通量,或给定表面的月产量
  • 每小时阴影(24 小时)

如需详细了解 Solar API 如何定义通量,请参阅 Solar API 概念

关于数据层请求

以下示例显示了向 dataLayers 发出的 REST 请求的网址 方法:

https://solar.googleapis.com/v1/dataLayers:get?parameters

添加指定以下内容的请求网址参数

  • 营业地点的经纬度坐标
  • 相应地理位置周围区域的半径
  • 要返回的数据子集(DSM、RGB、遮罩、年通量或每月) 流量)
  • 结果中允许的最低画质
  • 要返回的数据的最小比例(单位:米/像素)

数据层请求示例

以下示例请求 100 米范围内的所有建筑物数据分析信息 纬度 = 37.4450 坐标处位置的半径, 经度 = -122.1390:

API 密钥

如需向响应中的网址发出请求,请将您的 API 密钥附加到该网址:

curl -X GET "https://solar.googleapis.com/v1/dataLayers:get?location.latitude=37.4450&location.longitude=-122.1390&radiusMeters=100&view=FULL_LAYERS&requiredQuality=HIGH&exactQualityRequired=true&pixelSizeMeters=0.5&key=YOUR_API_KEY"

您还可以将 c网址 请求中的网址粘贴到浏览器的网址栏中,从而发出 HTTP 请求。通过传递 API 密钥,您可以获得更出色的使用和分析功能,还能更好地控制对响应数据的访问权限。

OAuth 令牌

注意:此格式仅适用于测试环境。如需了解详情,请参阅使用 OAuth

如需向响应中的网址发出请求,请传入您的结算项目名称和 OAuth 令牌:

curl -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  -H "X-Goog-User-Project: PROJECT_NUMBER_OR_ID" \
  "https://solar.googleapis.com/v1/dataLayers:get?location.latitude=37.4450&location.longitude=-122.1390&radius_meters=100&required_quality=HIGH&exactQualityRequired=true"
        

TypeScript

如需向响应中的网址发出请求,请添加您的 API 密钥或 OAuth 令牌。以下示例使用了 API 密钥:

/**
 * Fetches the data layers information from the Solar API.
 *   https://developers.google.com/maps/documentation/solar/data-layers
 *
 * @param  {LatLng} location      Point of interest as latitude longitude.
 * @param  {number} radiusMeters  Radius of the data layer size in meters.
 * @param  {string} apiKey        Google Cloud API key.
 * @return {Promise<DataLayersResponse>}  Data Layers response.
 */
export async function getDataLayerUrls(
  location: LatLng,
  radiusMeters: number,
  apiKey: string,
): Promise<DataLayersResponse> {
  const args = {
    'location.latitude': location.latitude.toFixed(5),
    'location.longitude': location.longitude.toFixed(5),
    radius_meters: radiusMeters.toString(),
    // The Solar API always returns the highest quality imagery available.
    // By default the API asks for HIGH quality, which means that HIGH quality isn't available,
    // but there is an existing MEDIUM or LOW quality, it won't return anything.
    // Here we ask for *at least* LOW quality, but if there's a higher quality available,
    // the Solar API will return us the highest quality available.
    required_quality: 'LOW',
  };
  console.log('GET dataLayers\n', args);
  const params = new URLSearchParams({ ...args, key: apiKey });
  // https://developers.google.com/maps/documentation/solar/reference/rest/v1/dataLayers/get
  return fetch(`https://solar.googleapis.com/v1/dataLayers:get?${params}`).then(
    async (response) => {
      const content = await response.json();
      if (response.status != 200) {
        console.error('getDataLayerUrls\n', content);
        throw content;
      }
      console.log('dataLayersResponse', content);
      return content;
    },
  );
}

字段和数据类型是 TypeScript 中的"type"。在此示例中,我们定义了一个自定义类型,用于在响应中存储感兴趣的字段,例如像素值和经纬度边界框。 您可以根据需要添加更多字段。

export interface GeoTiff {
  width: number;
  height: number;
  rasters: Array<number>[];
  bounds: Bounds;
}

数据类型定义

支持以下数据类型:

export interface DataLayersResponse {
  imageryDate: Date;
  imageryProcessedDate: Date;
  dsmUrl: string;
  rgbUrl: string;
  maskUrl: string;
  annualFluxUrl: string;
  monthlyFluxUrl: string;
  hourlyShadeUrls: string[];
  imageryQuality: 'HIGH' | 'MEDIUM' | 'LOW';
}

export interface Bounds {
  north: number;
  south: number;
  east: number;
  west: number;
}

// https://developers.google.com/maps/documentation/solar/reference/rest/v1/buildingInsights/findClosest
export interface BuildingInsightsResponse {
  name: string;
  center: LatLng;
  boundingBox: LatLngBox;
  imageryDate: Date;
  imageryProcessedDate: Date;
  postalCode: string;
  administrativeArea: string;
  statisticalArea: string;
  regionCode: string;
  solarPotential: SolarPotential;
  imageryQuality: 'HIGH' | 'MEDIUM' | 'LOW';
}

export interface SolarPotential {
  maxArrayPanelsCount: number;
  panelCapacityWatts: number;
  panelHeightMeters: number;
  panelWidthMeters: number;
  panelLifetimeYears: number;
  maxArrayAreaMeters2: number;
  maxSunshineHoursPerYear: number;
  carbonOffsetFactorKgPerMwh: number;
  wholeRoofStats: SizeAndSunshineStats;
  buildingStats: SizeAndSunshineStats;
  roofSegmentStats: RoofSegmentSizeAndSunshineStats[];
  solarPanels: SolarPanel[];
  solarPanelConfigs: SolarPanelConfig[];
  financialAnalyses: object;
}

export interface SizeAndSunshineStats {
  areaMeters2: number;
  sunshineQuantiles: number[];
  groundAreaMeters2: number;
}

export interface RoofSegmentSizeAndSunshineStats {
  pitchDegrees: number;
  azimuthDegrees: number;
  stats: SizeAndSunshineStats;
  center: LatLng;
  boundingBox: LatLngBox;
  planeHeightAtCenterMeters: number;
}

export interface SolarPanel {
  center: LatLng;
  orientation: 'LANDSCAPE' | 'PORTRAIT';
  segmentIndex: number;
  yearlyEnergyDcKwh: number;
}

export interface SolarPanelConfig {
  panelsCount: number;
  yearlyEnergyDcKwh: number;
  roofSegmentSummaries: RoofSegmentSummary[];
}

export interface RoofSegmentSummary {
  pitchDegrees: number;
  azimuthDegrees: number;
  panelsCount: number;
  yearlyEnergyDcKwh: number;
  segmentIndex: number;
}

export interface LatLng {
  latitude: number;
  longitude: number;
}

export interface LatLngBox {
  sw: LatLng;
  ne: LatLng;
}

export interface Date {
  year: number;
  month: number;
  day: number;
}

export interface RequestError {
  error: {
    code: number;
    message: string;
    status: string;
  };
}

该 API 会返回以下格式的网址:

https://solar.googleapis.com/v1/solar/geoTiff:get?id=HASHED_ID

您可以使用这些网址访问包含请求数据的 GeoTIFF 文件。

示例响应

请求会生成以下形式的 JSON 响应:

{
  "imageryDate": {
    "year": 2022,
    "month": 4,
    "day": 6
  },
  "imageryProcessedDate": {
    "year": 2023,
    "month": 8,
    "day": 4
  },
  "dsmUrl": "https://solar.googleapis.com/v1/geoTiff:get?id=MmQyMzI0NTMyZDc3YjBjNmQ3OTgyM2ZhNzMyNzk5NjItN2ZjODJlOThkNmQ5ZDdmZDFlNWU3MDY4YWFlMWU0ZGQ6UkdCOkhJR0g=",
  "rgbUrl": "https://solar.googleapis.com/v1/geoTiff:get?id=NzQwNGQ0NmUyMzAzYWRiNmMxNzMwZTJhN2IxMTc4NDctOTI5YTNkZTlkM2MzYjRiNjE4MGNkODVmNjNiNDhkMzE6UkdCOkhJR0g=",
  "maskUrl": "https://solar.googleapis.com/v1/geoTiff:get?id=ZTk1YTBlZmY5Y2FhMThlNWYzMWEzZGZhYzEzMGQzOTAtM2Q4NmUyMmM5ZThjZmE0YjhhZWMwN2UzYzdmYmQ3ZjI6TUFTSzpISUdI",
  "annualFluxUrl": "https://solar.googleapis.com/v1/geoTiff:get?id=OTE0OWIxZDM3NmNlYjkzMWY2YjQyYjY5Y2RkYzNiOTAtZjU5YTVjZGQ3MzE3ZTQ4NTNmN2M4ZmY2MWZlZGZkMzg6QU5OVUFMX0ZMVVg6SElHSA==",
  "monthlyFluxUrl": "https://solar.googleapis.com/v1/geoTiff:get?id=Y2NhOGRhOWI2MjVmYmNiZTY3Njk4Yjk0MGJhNTk1NDUtY2MyYTI4NDJmN2Q5YTI0MmY2NDQyZGUwZWJkMWQ0ZDg6TU9OVEhMWV9GTFVYOkhJR0g=",
  "hourlyShadeUrls": [
    "https://solar.googleapis.com/v1/geoTiff:get?id=OWFhOTZmNDU2OGQyNTYxYWQ4YjZkYjQ5NWI4Zjg1ODItZGEwNDNhMmM3NDU0MTY2OGIzZDY2OGU1NTY0NTFlMzE6TU9OVEhMWV9GTFVYOkhJR0g=",
    "https://solar.googleapis.com/v1/geoTiff:get?id=MTI1ZTI2YzM1ZTRlYjA3ZDM4NWE2ODY4MjUzZmIxZTMtNTRmYTI3YmQyYzVjZDcyYjc5ZTlmMTRjZjBmYTk4OTk6TU9OVEhMWV9GTFVYOkhJR0g=",
    ...
  ],
  "imageryQuality": "HIGH"
}

访问响应数据

通过响应网址访问数据需要进行额外的身份验证。如果您使用 身份验证密钥,您必须将 API 密钥附加到该网址。如果您使用 OAuth 您必须添加 OAuth 标头。

API 密钥

如需向响应中的网址发出请求,请将您的 API 密钥附加到该网址:

curl -X GET "https://solar.googleapis.com/v1/solar/geoTiff:get?id=fbde33e9cd16d5fd10d19a19dc580bc1-8614f599c5c264553f821cd034d5cf32&key=YOUR_API_KEY"

您还可以将 c网址 请求中的网址粘贴到浏览器的网址栏中,从而发出 HTTP 请求。通过传递 API 密钥,您可以获得更出色的使用和分析功能,还能更好地控制对响应数据的访问权限。

OAuth 令牌

如需向响应中的网址发出请求,请传入您的结算项目名称和 OAuth 令牌:

curl -X GET \
-H 'X-Goog-User-Project: PROJECT_NUMBER_OR_ID' \
-H "Authorization: Bearer $TOKEN" \
"https://solar.googleapis.com/v1/solar/geoTiff:get?id=fbde33e9cd16d5fd10d19a19dc580bc1-8614f599c5c264553f821cd034d5cf32"
        

TypeScript

以下示例展示了如何获取像素数据值( 数字图像的各个像素中存储的信息,包括 颜色值和其他属性),计算纬度和 经度,并将其存储在 TypeScript 对象中。

对于这个具体示例,我们选择允许进行类型检查,这有助于减少类型错误,提高代码可靠性,并简化代码维护。

// npm install geotiff geotiff-geokeys-to-proj4 proj4

import * as geotiff from 'geotiff';
import * as geokeysToProj4 from 'geotiff-geokeys-to-proj4';
import proj4 from 'proj4';

/**
 * Downloads the pixel values for a Data Layer URL from the Solar API.
 *
 * @param  {string} url        URL from the Data Layers response.
 * @param  {string} apiKey     Google Cloud API key.
 * @return {Promise<GeoTiff>}  Pixel values with shape and lat/lon bounds.
 */
export async function downloadGeoTIFF(url: string, apiKey: string): Promise<GeoTiff> {
  console.log(`Downloading data layer: ${url}`);

  // Include your Google Cloud API key in the Data Layers URL.
  const solarUrl = url.includes('solar.googleapis.com') ? url + `&key=${apiKey}` : url;
  const response = await fetch(solarUrl);
  if (response.status != 200) {
    const error = await response.json();
    console.error(`downloadGeoTIFF failed: ${url}\n`, error);
    throw error;
  }

  // Get the GeoTIFF rasters, which are the pixel values for each band.
  const arrayBuffer = await response.arrayBuffer();
  const tiff = await geotiff.fromArrayBuffer(arrayBuffer);
  const image = await tiff.getImage();
  const rasters = await image.readRasters();

  // Reproject the bounding box into lat/lon coordinates.
  const geoKeys = image.getGeoKeys();
  const projObj = geokeysToProj4.toProj4(geoKeys);
  const projection = proj4(projObj.proj4, 'WGS84');
  const box = image.getBoundingBox();
  const sw = projection.forward({
    x: box[0] * projObj.coordinatesConversionParameters.x,
    y: box[1] * projObj.coordinatesConversionParameters.y,
  });
  const ne = projection.forward({
    x: box[2] * projObj.coordinatesConversionParameters.x,
    y: box[3] * projObj.coordinatesConversionParameters.y,
  });

  return {
    // Width and height of the data layer image in pixels.
    // Used to know the row and column since Javascript
    // stores the values as flat arrays.
    width: rasters.width,
    height: rasters.height,
    // Each raster reprents the pixel values of each band.
    // We convert them from `geotiff.TypedArray`s into plain
    // Javascript arrays to make them easier to process.
    rasters: [...Array(rasters.length).keys()].map((i) =>
      Array.from(rasters[i] as geotiff.TypedArray),
    ),
    // The bounding box as a lat/lon rectangle.
    bounds: {
      north: ne.y,
      south: sw.y,
      east: ne.x,
      west: sw.x,
    },
  };
}

除 RGB 层外,所有 TIFF 文件都将显示为空白图片 图像查看器应用程序。要查看下载的 TIFF 文件,请将其导入 地图应用软件,例如 QGIS。

有关此请求和响应的完整规范,请参阅参考 文档