MODIS
- fn_func(product_name, tile)
Returns a client-side filename at which to store data.
- Parameters
product_name (str) – Name of the product to download.
tile (str) – Name of the server-side tile to download.
- Returns
Filename.
- Return type
str
- url_func(product_name, tile)
Returns a url at which to collect MODIS data.
- Parameters
product_name (str) – Name of the product to download.
tile (str) – Name of the server-side tile to download.
- Returns
The url.
- Return type
str
- tiles_intersect(latlim, lonlim)
Creates a list of server-side filenames for tiles that intersect with latlim and lonlim for the selected product.
- Parameters
latlim (list) – Latitude limits of area of interest.
lonlim (list) – Longitude limits of area of interest.
- Returns
Server-side filenames for tiles.
- Return type
list
- expand_time_dim(ds, *args)
MODIS lst data comes with a variable specifying the acquisition decimal time per pixel, This function expands the “date” dimension of the data with “time”, i.e. afterwards each temporal-slice in the dataset contains data at one specific datetime.
- Parameters
ds (xr.Dataset) – Input dataset, should have lst_hour variable.
- Returns
Expanded dataset.
- Return type
xr.Dataset
- mask_bitwise_qa(ds, var, masker='lst_qa', product_name='MOD11A1.061', flags=['good_qa'])
Mask MODIS data using a qa variable.
- Parameters
ds (xr.Dataset) – Input data.
var (str) – Variable in ds to mask.
masker (str, optional) – Variable in ds to use for masking, by default “lst_qa”.
product_name (str, optional) – Name of the product, by default “MOD11A1.061”.
flags (list, optional) – Which flags not to mask, by default [“good_qa”].
- Returns
Masked dataset.
- Return type
xr.Dataset
- mask_qa(ds, var, masker=('ndvi_qa', 1.0))
Mask MODIS data using a qa variable.
- Parameters
ds (xr.Dataset) – Input data
var (str) – Variable name in ds to be masked.
masker (tuple, optional) – Variable in ds to use for masking, second value defines which value in mask to use as valid data, by default (“ndvi_qa”, 1.0).
- Returns
Masked dataset.
- Return type
xr.Dataset
- default_vars(product_name, req_vars)
Given a product_name and a list of requested variables, returns a dictionary with metadata on which exact layers need to be requested from the server, how they should be renamed, and how their dimensions are defined.
- Parameters
product_name (str) – Name of the product.
req_vars (list) – List of variables to be collected.
- Returns
Metadata on which exact layers need to be requested from the server.
- Return type
dict
- default_post_processors(product_name, req_vars=None)
Given a product_name and a list of requested variables, returns a dictionary with a list of functions per variable that should be applied after having collected the data from a server.
- Parameters
product_name (str) – Name of the product.
req_vars (list) – List of variables to be collected.
- Returns
Functions per variable that should be applied to the variable.
- Return type
dict
- download(folder, latlim, lonlim, timelim, product_name, req_vars, variables=None, post_processors=None)
Download MODIS data and store it in a single netCDF file.
- Parameters
folder (str) – Path to folder in which to store results.
latlim (list) – Latitude limits of area of interest.
lonlim (list) – Longitude limits of area of interest.
timelim (list) – Period for which to prepare data.
product_name (str) – Name of the product to download.
req_vars (list) – Which variables to download for the selected product.
variables (dict, optional) – Metadata on which exact layers need to be requested from the server, by default None.
post_processors (dict, optional) – Functions per variable that should be applied to the variable, by default None.
- Returns
Downloaded data.
- Return type
xr.Dataset