使用栅格遮罩叠加两个栅格GeoTIFF

Question

我正尝试使用具有rasterio遮罩功能的多边形来裁剪两个不同的Geotiff /栅格，以获取两个相同/重叠的相同大小/形状的裁剪numpy数组。问题在于裁剪后的数组并不总是相同的形状（相差不超过1个像素）。

import numpy as np
import matplotlib.pyplot as plt
import os
from os.path import join
import fiona
import rasterio as rio
from rasterio.mask import mask
import gdal
import shapely
from shapely.geometry import mapping, shape, MultiPolygon, Polygon
from shapely.ops import transform
import pyproj

def gdal_reproject(src_path, dist_path, dst_crs, dst_res=(30, 30), interp=0, align=True):
    opt = gdal.WarpOptions(dstSRS=dst_crs,
                           polynomialOrder=interp,
                           targetAlignedPixels=align,
                           xRes=dst_res[0], yRes=dst_res[1])
    gdal.Warp(srcDSOrSrcDSTab=src_path, 
              destNameOrDestDS=dist_path, 
              options=opt)


def summarize_tif(path):
    tif1 = rio.open(path)
    x_res = (tif1.bounds.right - tif1.bounds.left) / tif1.width
    y_res = (tif1.bounds.top - tif1.bounds.bottom) / tif1.height
    print("crs {}".format(tif1.crs))
    print('dtype {}'.format(tif1.meta['dtype']))
    print("height {}, width {}".format(tif1.height, tif1.width))
    print("x_res {}, y_res {}".format(x_res, y_res))
    print("bounds {} \n \n".format(tif1.bounds))
    tif1.close()


tif_1 = join(landsat_dir, "21_32/LC080210322016072801T1/LC08_L1TP_021032_20160728_20170221_01_T1_sr_band3.tif")
summarize_tif(tif_1)
#  crs EPSG:32616
#  dtype int16
#  height 7801, width 7671
#  x_res 30.0, y_res 30.0
#  bounds BoundingBox(left=497085.0, bottom=4347885.0, right=727215.0, top=4581915.0) 

with rio.open(tif_1, 'r') as tif:
    dst_crs = tif.crs


tif_2 = join(CLD_dir, "CDL_2018_18.tif")
summarize_tif(tif_2)
#  crs PROJCS["unnamed",GEOGCS["NAD83",DATUM["North_American_Datum_1983",SPHEROID["GRS 1980",6378137,298.2572221010042,AUTHORITY["EPSG","7019"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY["EPSG","6269"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4269"]],PROJECTION["Albers_Conic_Equal_Area"],PARAMETER["standard_parallel_1",29.5],PARAMETER["standard_parallel_2",45.5],PARAMETER["latitude_of_center",23],PARAMETER["longitude_of_center",-96],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]
#  dtype uint8
#  height 15717, width 9143
#  x_res 30.0, y_res 30.0
#  bounds BoundingBox(left=687435.0, bottom=1666935.0, right=961725.0, top=2138445.0) 

tif_2_reproj = join(tmp_dir, "usda_2018_18_EPSG32616_gdal_py.tif")
if os.path.isfile(tif_2_reproj):
    os.remove(tif_2_reproj)
gdal_reproject(src_path=tif_2, dist_path=tif_2_reproj, 
               dst_crs=dst_crs, dst_res=(30, 30), interp=0, align=True)
summarize_tif(tif_2_reproj)
#  crs EPSG:32616
#  dtype uint8
#  height 16358, width 10673
#  x_res 30.0, y_res 30.0
#  bounds BoundingBox(left=402150.0, bottom=4156530.0, right=722340.0, top=4647270.0) 

with fiona.open(parc_2018, layer='County_Land_Parcels_IGIO_IN_Apr2018') as src:
    meta = src.meta
    print('src crs', src.crs)
    src_crs = src.crs['init']
    for i, feature in enumerate(src):
        if i==200423:
            polys = shape(feature['geometry'])
            print(type(polys))
            polys_rpj = shapely.ops.transform(lambda xx, y: pyproj.transform(pyproj.Proj(init=src_crs), 
                                                                      pyproj.Proj(init=dst_crs), xx, y), 
                                                                      polys)
            print(type(polys_rpj))
            print('poly center: {}'.format(polys_rpj.centroid))




            with rio.open(tif_1, 'r') as tif:
                crop1, trnsfrm1 = mask(dataset=tif, shapes=[polys_rpj], 
                                       crop=True)

            with rio.open(tif_2_reproj, 'r') as tif:
                crop2, trnsfrm2 = mask(dataset=tif, shapes=[polys_rpj], 
                                       crop=True)


            break

print("crop1 shape {}, crop2 shape {}".format(crop1.shape, crop2.shape))

#  <class 'shapely.geometry.multipolygon.MultiPolygon'>
#  <class 'shapely.geometry.multipolygon.MultiPolygon'>
#  poly center: POINT (669672.4700203884 4369366.759086045)
#  src crs {'init': 'epsg:26916'}, dst crs EPSG:32616
#  crop1 shape (1, 4, 3), crop2 shape (1, 5, 3)

如何使crop1和crop2保持一致的形状？