秩父雲海発生予想エリア by ASTER GDEM 2

目的

秩父の雲海は標高の低いところに滞留すると仮定し、ASTER GDEM2 の標高モデルより、秩父雲海の発生エリアを推定する。

Tellus

https://www.tellusxdp.com/ja/

Result

秩父市標高データ ASTER GDEM提供:METI and NASA
秩父市 部分的雲海の発生予想エリア
ASTER GDEM提供:METI and NASA
秩父市 全面的雲海の発生予想エリア
ASTER GDEM提供:METI and NASA

Code

import requests, json, math
from skimage import io
from io import BytesIO
import numpy as np

TOKEN = 'Enter your code'

# 秩父市
# 35.9827619,138.8036913
# 秩父市 ミューズパーク
zoom = 12
lat, lon = 35.9951626,139.0531834
y_slice = 160

def get_tile_num(lat_deg, lon_deg, zoom):
    # https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames#Python
    lat_rad = math.radians(lat_deg)
    n = 2.0 ** zoom
    xtile = 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)
    print("Zoom =", zoom, ", xtile =", xtile, ", ytile =", ytile)
    return (xtile, ytile)

def get_astergdem2_dsm(zoom, xtile, ytile):
    """
    """
    url = " https://gisapi.tellusxdp.com/astergdem2/dsm/{}/{}/{}.png".format(zoom, xtile, ytile)
    headers = {
        "Authorization": "Bearer " + TOKEN
    }
    r = requests.get(url, headers=headers)
    return io.imread(BytesIO(r.content))

def get_height_data(astergdem2_dsm):
    R = 255 * 255 * (astergdem2_dsm[:,:,0].astype(np.uint32))
    G = 255 * (astergdem2_dsm[:,:,1].astype(np.uint32))    
    B = astergdem2_dsm[:,:,2].astype(np.uint32)
    height =  R + G + B
    return height.astype(np.uint32)

def get_max_height(imgin):
    max_height = np.max(imgin)
    print("標高:", max_height)
    return max_height

def get_height_img(imgin, sea_level):
    gray =  imgin * 255.0 / get_max_height(imgin)
    _img = np.zeros([256,256,3],np.uint8)
    _img[:,:,0] = gray[:,:]
    _img[:,:,1] = gray[:,:]
    _img[:,:,2] = gray[:,:]

    # 標高 0m をブルーで塗りつぶす
    _img[:,:,2][_img[:,:,2] <= sea_level] = 255
    
    return _img.astype(np.uint8)

def get_height(zoom, lat,lon):
    (xtile, ytile) = get_tile_num(lat,lon, zoom)

    _astergdem2_dsm = get_astergdem2_dsm(zoom, xtile, ytile)

    _height = get_height_data(_img)
    
    return _height_data


def show_slice(height, y_slice):
    '''
    断面図を表示
    '''
    import matplotlib.pyplot as plt

    plt.figure(figsize=(10, 2.0))

    x = range(0,255)
    # 断面の Y座標

    plt.plot(x, height[y_slice, x].astype(np.float), label='mix', color='red')

    plt.grid(True)

    plt.show()
    
    
def main(zoom, lat, lon, y_slice, sea_level):
    (xtile, ytile) = get_tile_num(lat,lon, zoom)
    astergdem2_dsm = get_astergdem2_dsm(zoom, xtile, ytile)
    height_data = get_height_data(astergdem2_dsm)
    height_img = get_height_img(height_data, sea_level)
    io.imshow(height_img)
    show_slice(height_data, y_slice)

if __name__ == '__main__':
    main(zoom, lat, lon, y_slice, sea_level)

# 秩父市
# 35.9827619,138.8036913
# 秩父市 ミューズパーク
zoom = 12
lat, lon = 35.9951626,139.0531834
sea_level = 80

main(zoom, lat, lon, y_slice, sea_level)

投稿者: admin

Free Software Engineer

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