Access data from MODIS web service and perform quality filtering in R
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MODISTools.tar
README.md
lst_timeseries_example.png
modis_webservice_qc_filter_R.ipynb

README.md

Access the MODIS web service and perform quality filtering using R

Author: ORNL DAAC
Date: February 27, 2018
Contact for ORNL DAAC: uso@daac.ornl.gov

Keywords: MODIS, web service, R, SOAP

Overview

The tutorial outlined in the jupyter notebook will explore using the MODISTools library in R to access MODIS Land Products through a standards based SOAP (Simple Object Access Protocol) Web Service hosted by the ORNL DAAC.

Using the MODIS Web Service users can:

  • Retrieve MODIS subsets through command line operations
  • Download and integrate subsets directly into client-side workflows
  • Download and visualize subsets with customized code
    ... and much more.

This tutorial will demonstrate how to do the following in R:

  • build a time series of MOD11A2 land surface temperature from multiple web service requests
  • format subset responses for easy integration in R workflows
  • perform quality control filtering based on MODIS qc criteria

Daytime LST for North Table Mountain Ecological Preserve 2001-2003

Source Data

Input data were accessed through the MODIS Web Service hosted at the ORNL DAAC. All necessary steps for accessing the web service using R are outlined in the jupyter notebook.

Other methods for accessing data through the web service are described at the MODIS web page; https://modis.ornl.gov.

Prerequisites

R (3.x recommended). R libraries: MODISTools, ggplot2, scales, tidyr

Procedure

Access the the tutorial here:
Tutorial