GIS and Remote Sensing Tools, Tips and more ..

Are you wondering on MODIS products' naming convention? Don't worry !!. This is the time to dig out MODIS names. Let's say you have few MODIS products. Nadir BRDF-Adjusted Reflectance  ( NBAR ): MCD43B4.A2000185.h25v03.005.2006299173851.hdf MODIS Land Surface Temperature Products: MOD11A2.A2002241.h12v02.005.2007222102136.hdf MCD43B4 or MOD11A2- MODIS Product Short Name A2000185 or A2002241 - Julian Date of Acquisition (A-YYYYDDD) h25v03 or h12v02- Tile Identifier (Tile location- horizontalXXverticalYY) 005 - Collection Version 2006299173851 or 2007222102136- Julian Date of Production (YYYYDDDHHMMSS) The YYYYDDD of above products equivalent to 2006299 and 2007222, which means Year:2006 Day of Year:299 (OCT 25, 2006) & Year:2007 Day of Year:222(AUG 09,2007) hdf - Data Format (HDF-EOS) Cheers !!

# This is a Python script that automatically downloads historical # MODIS data from the LP DAAC FTP site # This version should work for all of the tiled datasets # It is currently hard-coded to downloaded specific MODIS tiles for # the northern Great Plains & upper midwest # Initailly historical date for Data transfer must be set on "lpdacc.txt". import os, ftplib,sys,string # Login information for accessing the LP DAAC FTP site Hostname = "e4ftl01u.ecs.nasa.gov" Username = "anonymous" Password = "@anonymous" # Get user inputs # Base directory for the MODIS data # Basedir = input("Enter the LP DAAC directory containing the dataset you want to download:") Basedir="MOLT/MOD11A2.005" print "The LP DAAC directory containing the dataset you want to download" +str(Basedir) # Local directory for data storage #Hdfdir = input("Enter the local directory where you w...