Accessing data through ORNL DAAC web services (MODIS, Daymet, SDAT)
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webservice_modis_daymet_sdat.ipynb

README.md

Accessing data through ORNL DAAC web services

Author: ORNL DAAC
Date: March 21, 2018
Contact for ORNL DAAC: uso@daac.ornl.gov

Keywords: web service, SOAP, Python, OGC, RESTful API, MODIS, Daymet, SDAT

Overview

ORNL DAAC offers various tools and web services which allow programmatic access of the data (https://daac.ornl.gov/tools/). In this tutorial, we will use different web services to access and combine datasets near Deep Creek Ridge in Central Idaho (lat = 45.0949, lon = -114.1086). There was a significant tree mortality due to bark beetles during 2009-2011 period (see https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1512).

Annual EVI from MODIS

Source Data

This tutorial uses following web services:

Prerequisites

Python 2.7 or later. Python modules: numpy, pandas, matplotlib, urllib, zeep, owslib

Procedure

You can access the Jupyter Notebook here.