python - 来自hdf文件python的纬度，经度信息

Question

我有一个 hdf 文件，想从中提取数据。由于某种原因，我无法提取纬度和经度值：

我尝试的代码是：

from pyhdf import SD
hdf = SD.SD('MOD10C2.A2001033.006.2016092173057.hdf')
data = hdf.select('Eight_Day_CMG_Snow_Cover')
lat = (hdf.select('Latitude'))[:]

它给了我一个错误：

HDF4Error: select: non-existent dataset

我试过：

lat = (hdf.select('Lat'))[:]

仍然没有帮助！

数据可以在这个链接中找到

任何帮助将不胜感激！

数据格式如下：

我得到的错误是：

---------------------------------------------------------------------------
HDF4Error                                 Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/pyhdf/SD.py in select(self, name_or_index)
   1635             try:
-> 1636                 idx = self.nametoindex(name_or_index)
   1637             except HDF4Error:

~/anaconda3/lib/python3.6/site-packages/pyhdf/SD.py in nametoindex(self, sds_name)
   1528         sds_idx = _C.SDnametoindex(self._id, sds_name)
-> 1529         _checkErr('nametoindex', sds_idx, 'non existent SDS')
   1530         return sds_idx

~/anaconda3/lib/python3.6/site-packages/pyhdf/error.py in _checkErr(procName, val, msg)
     22             err = "%s : %s" % (procName, msg)
---> 23         raise HDF4Error(err)

HDF4Error: nametoindex : non existent SDS

During handling of the above exception, another exception occurred:

HDF4Error                                 Traceback (most recent call last)
<ipython-input-11-21e6a4fdf8eb> in <module>()
----> 1 hdf.select('Lat')

~/anaconda3/lib/python3.6/site-packages/pyhdf/SD.py in select(self, name_or_index)
   1636                 idx = self.nametoindex(name_or_index)
   1637             except HDF4Error:
-> 1638                 raise HDF4Error("select: non-existent dataset")
   1639         id = _C.SDselect(self._id, idx)
   1640         _checkErr('select', id, "cannot execute")

HDF4Error: select: non-existent dataset

score 4 · Accepted Answer

您使用的数据文件是 MODIS Level 3 产品。所有 3 级产品都插入到一些规则网格上。在 MOD10C2 的情况下，网格是所谓的气候建模网格 (CMG)。该网格以 0.05 度的间隔规则地间隔开。Panoply知道这一点。

CMG 是圆柱投影中的规则矩形网格。我们可以使用这些信息来定位数据。考虑以下示例。

from pyhdf import SD
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.basemap import Basemap
from matplotlib.colors import LinearSegmentedColormap
hdf = SD.SD('MOD10C2.A2001033.006.2016092173057.hdf')
data = hdf.select('Eight_Day_CMG_Snow_Cover')
snowcover=np.array(data[:,:],np.float)
snowcover[np.where(snowcover==255)]=np.nan
m = Basemap(projection='cyl', resolution = 'l',
    llcrnrlat=-90, urcrnrlat=90,llcrnrlon=-180,urcrnrlon=180)
cdict = {'red' : [(0,0.,0.), (100./255.,1.,1.),(1.,0.,0.)],
         'green' : [(0,0.,0.),(1.,0.,0.)] , 
         'blue' : [(0,0.,0.),(100./255.,0.,0.),(1.,1.,1.)] }
blue_red = LinearSegmentedColormap('BlueRed',cdict)

m.drawcoastlines(linewidth=0.5)
m.drawparallels(np.arange(-90,120,30), labels=[1,0,0,0])
m.drawmeridians(np.arange(-180,181,45),labels=[0,0,0,1])
m.imshow(np.flipud(snowcover),cmap=blue_red)
plt.title('MOD10C2: Eight Day Global Snow Cover')
plt.show()

此代码应显示积雪的图片。

如果您需要在不同的投影中处理数据，您可以使用 python GDAL 接口将snowcover数组转换为地理定位数据集。

将数据作为不规则网格处理也是可能的，但效率非常低。

lon,lat = np.meshgrid(np.arange(-180,180,0.05),np.arange(-90,90,0.05))

将是相应的经度和纬度网格。

score 2 · Accepted Answer

通常经纬度信息不在 hdf 文件的科学模式下，这是主要原因，因为它lat = (hdf.select('Lat'))[:]不像其他变量那样工作。使用以下函数，您可以在 hdf 文件中提取任何类型的变量存储

from pyhdf.HDF import *
from pyhdf.V   import *
from pyhdf.VS  import *
from pyhdf.SD  import *

def HDFread(filename, variable, Class=None):
    """
    Extract the data for non scientific data in V mode of hdf file
    """
    hdf = HDF(filename, HC.READ)

    # Initialize the SD, V and VS interfaces on the file.
    sd = SD(filename)
    vs = hdf.vstart()
    v  = hdf.vgstart()

    # Encontrar el puto id de las Geolocation Fields
    if Class == None:
        ref = v.findclass('SWATH Vgroup')
    else:
        ref = v.findclass(Class)

    # Open all data of the class
    vg = v.attach(ref)
    # All fields in the class
    members = vg.tagrefs()

    nrecs = []
    names = []
    for tag, ref in members:
        # Vdata tag
        vd = vs.attach(ref)
        # nrecs, intmode, fields, size, name = vd.inquire()
        nrecs.append(vd.inquire()[0]) # number of records of the Vdata
        names.append(vd.inquire()[-1])# name of the Vdata
        vd.detach()

    idx = names.index(variable)
    var = vs.attach(members[idx][1])
    V   = var.read(nrecs[idx])
    var.detach()
    # Terminate V, VS and SD interfaces.
    v.end()
    vs.end()
    sd.end()
    # Close HDF file.
    hdf.close()

    return np.array(V).ravel()

如果您不知道确切的变量名称，您可以使用以下程序尝试 whit pyhdf.V ，该程序显示包含在任何 HDF 文件中的 vgroups 的内容。

from pyhdf.HDF import *
from pyhdf.V   import *
from pyhdf.VS  import *
from pyhdf.SD  import *

def describevg(refnum):
    # Describe the vgroup with the given refnum.
    # Open vgroup in read mode.
    vg = v.attach(refnum)
    print "----------------"
    print "name:", vg._name, "class:",vg._class, "tag,ref:",
    print vg._tag, vg._refnum

    # Show the number of members of each main object type.
    print "members: ", vg._nmembers,
    print "datasets:", vg.nrefs(HC.DFTAG_NDG),
    print "vdatas:  ", vg.nrefs(HC.DFTAG_VH),
    print "vgroups: ", vg.nrefs(HC.DFTAG_VG)

    # Read the contents of the vgroup.
    members = vg.tagrefs()

    # Display info about each member.
    index = -1
    for tag, ref in members:
        index += 1
        print "member index", index
        # Vdata tag
        if tag == HC.DFTAG_VH:
            vd = vs.attach(ref)
            nrecs, intmode, fields, size, name = vd.inquire()
            print "  vdata:",name, "tag,ref:",tag, ref
            print "    fields:",fields
            print "    nrecs:",nrecs
            vd.detach()

        # SDS tag
        elif tag == HC.DFTAG_NDG:
            sds = sd.select(sd.reftoindex(ref))
            name, rank, dims, type, nattrs = sds.info()
            print "  dataset:",name, "tag,ref:", tag, ref
            print "    dims:",dims
            print "    type:",type
            sds.endaccess()

        # VS tag
        elif tag == HC.DFTAG_VG:
            vg0 = v.attach(ref)
            print "  vgroup:", vg0._name, "tag,ref:", tag, ref
            vg0.detach()

        # Unhandled tag
        else:
            print "unhandled tag,ref",tag,ref

    # Close vgroup
    vg.detach()

# Open HDF file in readonly mode.
filename = 'yourfile.hdf'
hdf = HDF(filename)

# Initialize the SD, V and VS interfaces on the file.
sd = SD(filename)
vs = hdf.vstart()
v  = hdf.vgstart()

# Scan all vgroups in the file.
ref = -1
while 1:
    try:
        ref = v.getid(ref)
        print ref
    except HDF4Error,msg:    # no more vgroup
        break
    describevg(ref)

score 1 · Accepted Answer

我认为问题在于该文件没有传统的纬度和经度数据（如许多 .nc 文件）。当我想处理 MYD14 数据时遇到类似的问题（这是一个关于防火掩码的 MODIS 文件）。我搜索了很长时间以找到解决方案。以下是我的发现： ①如果 MODIS 文件使用 SIN-Grid(Sinusoidal Projection) 来定义数据，该文件不会给你传统的 lon,lat 数据。②更多正弦投影的细节，你可以阅读这个网站：https ://code.env.duke.edu/projects/mget/wiki/SinusoidalMODIS

python - 来自hdf文件python的纬度，经度信息

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