Python爬取Google高清遥感瓦片地图

Python爬取Google高清遥感瓦片地图

这是一个能直接从Google地图服务下载瓦片地图的程序，非常稳定，只需要设置需要下载的左上角和右下角的经纬度坐标即可下载。当然总所周知的原因，下载google地图需要先打开梯子。
下面放上一个下载的高清遥感图像（zoom=20），可以看到地面的车辆等清晰可见：

下面即为Python代码，下载的小图和合并后的大图均为png格式：

import urllib.requestimport os
import cv2
import numpy as np
import random
import re
import math
from tqdm import tqdmdef dms2dd(degrees, minutes, seconds, direction):dd = float(degrees) + float(minutes) / 60 + float(seconds) / (60 * 60)if direction == 'E' or direction == 'N':dd *= -1return dddef parse_dms(dms):parts = re.split('[^\d\w]+', dms)lat = dms2dd(parts[0], parts[1], parts[2], parts[3])return (lat)count = 0  # 用于getimg异常次数过多退出计数agents = ['Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.101 Safari/537.36','Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Chrome/4.0.249.0 Safari/532.5','Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US) AppleWebKit/532.9 (KHTML, like Gecko) Chrome/5.0.310.0 Safari/532.9','Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.514.0 Safari/534.7','Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US) AppleWebKit/534.14 (KHTML, like Gecko) Chrome/9.0.601.0 Safari/534.14','Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.14 (KHTML, like Gecko) Chrome/10.0.601.0 Safari/534.14','Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.20 (KHTML, like Gecko) Chrome/11.0.672.2 Safari/534.20','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.27 (KHTML, like Gecko) Chrome/12.0.712.0 Safari/534.27','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/13.0.782.24 Safari/535.1']# 经纬度反算切片行列号 3857坐标系
def deg2num(lat_deg, lon_deg, zoom):lat_rad = math.radians(lat_deg)n = 2.0 ** zoomxtile = int((lon_deg + 180.0) / 360.0 * n)ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)return (xtile, ytile)# 下载图片
def getimg(Tpath, Spath, x, y):global countcount = 0  # 清零try:f = open(Spath, 'wb')req = urllib.request.Request(Tpath)req.add_header('User-Agent', random.choice(agents))  # 换用随机的请求头pic = urllib.request.urlopen(req, timeout=60)f.write(pic.read())f.close()# print(str(x) + '_' + str(y) + '下载成功')except Exception:print(str(x) + '_' + str(y) + '下载失败,重试')  # 存在一直失败不跳出的buggetimg(Tpath, Spath, x, y)count = count + 1if count > 100:returndef download(zoom, LTlat, LTlon, RBlat, RBlon, rootDir):lefttop = deg2num(LTlat, LTlon, zoom)  # 下载切片的左上角角点rightbottom = deg2num(RBlat, RBlon, zoom)print("共{:d}张图像".format((lefttop[0] - rightbottom[0]) * (lefttop[1] - rightbottom[1])))for x in range(lefttop[0], rightbottom[0]):path = rootDir + str(zoom) + "\\" + str(x)  # 文件夹检查if not os.path.exists(path):os.makedirs(path)with tqdm(range(lefttop[1], rightbottom[1])) as pbar:for y in pbar:pbar.set_description(f"Schedule {x-lefttop[0]+1}/{rightbottom[0]-lefttop[0]}")tilepath = "http://gac-geo.googlecnapps.cn/maps/vt?lyrs=s&x=" + str(x) + "&y=" + str(y) + "&z=" + str(zoom)filepath = path + "\\" + str(y) + ".png"  # 文件检查if not os.path.isfile(filepath):getimg(tilepath, os.path.join(path, str(y) + ".png"), x, y)print('地图下载完成')def merge(x1, y1, x2, y2, z, path):row_list = list()for i in range(x1, x2 + 1):col_list = list()for j in range(y1, y2 + 1):path_img = path + "\\{z}\\{i}\\{j}.png".format(i=i, j=j, z=z)img = cv2.imread(path_img)col_list.append(img)k = np.vstack(col_list)row_list.append(k)result = np.hstack(row_list)cv2.imwrite(path + "//merge.png", result)print("地图合并完成，保存为：{:s}".format(path + "//merge.png", result))if __name__ == "__main__":rootDir = "D:\\satellite\\"# 瓦片地图的放大倍数zoom = 20# 这里定义下载范围LT_lat = '23^09^39.9898N'  # 左上角的纬度LT_lon = '113^25^56.3031E'  # 左上角的经度RB_lat = '23^09^00.9898N'  # 右下角的纬度RB_lon = '113^26^57.3031E'  # 右下角的经度# WGS84转墨卡托投影LT_lat = parse_dms(LT_lat)LT_lon = parse_dms(LT_lon)RB_lat = parse_dms(RB_lat)RB_lon = parse_dms(RB_lon)delta_lat = LT_lat - RB_latdelta_lon = RB_lon - LT_lonif zoom > 15:LT_lat = LT_lat - delta_lat * 1 / 4LT_lon = LT_lon + delta_lon * 1 / 4RB_lat = RB_lat + delta_lat * 1 / 4RB_lon = RB_lon - delta_lon * 1 / 4download(zoom, LT_lat, LT_lon, RB_lat, RB_lon, rootDir)print("开始合并地图......")# 合并保存为大图lefttop = deg2num(LT_lat, LT_lon, zoom)  # 下载切片的左上角角点rightbottom = deg2num(RB_lat, RB_lon, zoom)merge(lefttop[0], lefttop[1], rightbottom[0] - 2, rightbottom[1] - 2, zoom, rootDir)

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