使用Imshow和Cartopy正确地将图像与正弦投影对齐

发布于 2025-01-28 08:50:40 字数 769 浏览 4 评论 0 原文

我正在尝试使用iMshow绘制使用正弦投影的图像，但是如果我使用 transform = ccrs.sinusoidal（central_longitude = 128）它根本不起作用，并且使用transform = ccrs.platecarree（）海岸线和图像不符合。这是我的代码：

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import numpy as np

plt.figure(figsize=(8, 8))
ax = plt.axes(projection=ccrs.PlateCarree())
    
img_extent = (122.8109, 133.2922, 32.8286, 43.1708)
img = plt.imread('Korea.A2004004.0445.250m.jpg')
ax.coastlines(resolution='10m')
ax.imshow(img, origin='upper', extent=img_extent, transform=ccrs.PlateCarree())

plt.show()

图像来自：

原文

I'm trying to plot an image with a Sinusoidal projection using imshow but if I use the transform=ccrs.Sinusoidal(central_longitude=128) it's not working at all and using the transform=ccrs.PlateCarree() the coastlines and image are not aligned. This is my code:

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import numpy as np

plt.figure(figsize=(8, 8))
ax = plt.axes(projection=ccrs.PlateCarree())
    
img_extent = (122.8109, 133.2922, 32.8286, 43.1708)
img = plt.imread('Korea.A2004004.0445.250m.jpg')
ax.coastlines(resolution='10m')
ax.imshow(img, origin='upper', extent=img_extent, transform=ccrs.PlateCarree())

plt.show()

Image is from: https://eoimages.gsfc.nasa.gov/images/imagerecords/69000/69679/Korea.A2004004.0445.250m.jpg