Question

如何使用Rasterio从多数据集MODIS图像中打开特定数据集？

我已经在GitHub上发布了一些示例数据：https://github.com/SteveObert/rasterIO_question/tree/master/data

如果我只打开一个频段的MODIS HDF文件，则下面的代码将按照我想要的方式工作：

import rasterio

rasterfileMulti = 'MOD10A1_multiband_HEGOUT.hdf'
rasterfileSingle = 'MOD10A1_singleband_HEGOUT.hdf'
shapeFile = 'SFP_drainage.shp'


# Read an HDF into an array

dataset = rasterio.open('rasterfileSingle')
band1 = dataset.read(1)
print(band1)

输出：

array([[ 53,  53, 250, ..., 255, 255, 255],
   [ 56,  56,  56, ..., 255, 255, 255],
   [ 56,  56,  49, ..., 255, 255, 255],
   ...,
   [ 78,  78,  78, ...,  53,  50,  50],
   [ 72,  78,  78, ...,  57,  57,  57],
   [ 72,  72,  72, ...,  61,  61,  61]], dtype=uint8)

但是，如果尝试打开包含多个数据集的MODIS HDF文件，则会收到错误“ Rasterio IndexError：波段索引超出范围”，如下所示。

rasterfileMulti = MOD10A1_multiband_HEGOUT.hdf

dataset2 = rasterio.open('rasterfileMulti')
band1 = dataset.read(1)
print(band1)

上面的代码中的错误如下所示：

/Users/steve/anaconda3/lib/python3.6/site-packages/rasterio/__init__.py:193: UserWarning: Dataset has no geotransform set.  Default transform will be applied (Affine.identity())
s.start()
Traceback (most recent call last):

File "<ipython-input-9-584312f89d76>", line 3, in <module>
band1 = dataset.read(1)

File "rasterio/_io.pyx", line 720, in rasterio._io.RasterReader.read

IndexError: band index out of range

最终，我想将栅格裁剪为shapefile。只要Modis图像只有一个波段，在这种情况下，下面的代码就可以按照我想要的方式工作。在这种情况下，

import fiona
import rasterio
rasterfileSingle = MOD10A1_singleband_HEGOUT.hdf
shapeFile = SFP_drainage.shp

with fiona.open(shapeFile, 'r') as shapefile:
    features = [feature['geometry'] for feature in shapefile]


with rasterio.open(rasterfileMulti) as src:
    out_image, out_transform = rasterio.mask.mask(src, features,
                                                        crop=True)
    out_meta = src.meta.copy()


out_meta.update({'driver': 'GTiff',
                 'height': out_image.shape[1],
                 'width': out_image.shape[2],
                 'transform': out_transform})
with      rasterio.open('/Users/steve/Documents/classes/Geos_505/project_Payette/working/data_files/test_clip_out.tif', 'w', **out_meta) as dest:
    dest.write(out_image)

Answer 1

首先，我们需要知道子数据集的名称。 gdalinfo提供以下7个子数据集：

Subdatasets:
  SUBDATASET_1_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:NDSI_Snow_Cover
  SUBDATASET_1_DESC=[350x831] NDSI_Snow_Cover MOD_Grid_Snow_500m_16 (8-bit unsigned integer)           
  SUBDATASET_2_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:NDSI_Snow_Cover_Basic_QA
  SUBDATASET_2_DESC=[350x831] NDSI_Snow_Cover_Basic_QA MOD_Grid_Snow_500m_16 (8-bit unsigned integer)
  SUBDATASET_3_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:NDSI_Snow_Cover_Algorithm_Flags_QA
  SUBDATASET_3_DESC=[350x831] NDSI_Snow_Cover_Algorithm_Flags_QA MOD_Grid_Snow_500m_16 (8-bit unsigned integer)
  SUBDATASET_4_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:NDSI
  SUBDATASET_4_DESC=[350x831] NDSI MOD_Grid_Snow_500m_16 (16-bit integer)
  SUBDATASET_5_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:Snow_Albedo_Daily_Tile
  SUBDATASET_5_DESC=[350x831] Snow_Albedo_Daily_Tile MOD_Grid_Snow_500m_16 (8-bit unsigned integer)
  SUBDATASET_6_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:orbit_pnt
  SUBDATASET_6_DESC=[350x831] orbit_pnt MOD_Grid_Snow_500m_16 (8-bit integer)
  SUBDATASET_7_NAME=HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:granule_pnt
  SUBDATASET_7_DESC=[350x831] granule_pnt MOD_Grid_Snow_500m_16 (8-bit unsigned integer)

现在，您可以打开任何以子数据集的GDAL完全合格名称作为参数的子集。例如：

rasterio.open('HDF4_EOS:EOS_GRID:"MOD10A1_multiband_HEGOUT.hdf":MOD_Grid_Snow_500m_16:NDSI_Snow_Cover')

编辑：我根据作者的建议添加了单引号。

如何使用Rasterio从多数据集MODIS图像中打开特定的数据集（波段）？ Rasterio IndexError：波段索引超出范围

1 个答案: