Skip to content
master
Switch branches/tags
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

README.md

Tutorial: Access ORNL DAAC WMS Service using Python

Author: ORNL DAAC
Date: March 9, 2018
Contact for ORNL DAAC: uso@daac.ornl.gov

Keywords: SDAT, WMS, OGC Web Service, Python, OWSLib

Overview

In this tutorial, we will explore how to access ORNL DAAC OGC WMS Service using python OWSLib library. OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models. WMS provides a simple HTTP interface for requesting geo-registered map images from one or more distributed geospatial databases. The WMS request is also available from data downloading page of ORNL DAAC Spatial Data Access Tool (SDAT). After connecting to ORNL DAAC WMS service, we will list all available layers. For this example, global foliage clumping index Data derived from MODIS BRDF is used for demonstration. Then we will walkthrough how to get available metadata and operations of this WMS service layer. At last, we will learn how to send request to map the data and plot the legend.

Source Data

The dataset of Global 500-m Foliage Clumping Index Data Derived from MODIS BRDF in 2006 is used in this example. The original GeoTIFF file is accessible from ORNL DAAC's Spatial Data Access Tool.

Prerequisites:

Python 2.7 or greater. Python package: OWSLib, basemap, matplotlib

Procedure

Access the tutorial here: Tutorial

About

Access ORNL DAAC WMS Service using Python

Topics

Resources

License

Releases

No releases published

Packages

No packages published