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MODIS Daily Land Surface Temperature Estimates in Google Earth Engine as an Aid in Geothermal Energy Siting

Franklin G HOROWITZ

Key words
remote sensing, MODIS Land Surface Temperature, Google Earth Engine, MAST, Surface Temperature Statistics
Conference
World Geothermal Congress
Year
2015
Session
Geophysics
Language
English
Paper number
13107

Full text

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Abstract

The four-samples-per-day MODIS thermal infrared observations from the EOS Terra and Aqua satellite systems have been ingested into the Google Earth Engine platform. This means that a potent dataset -- with coverage from satellites of orbital inclination 98.1 degrees, deployed since the year 2000, and roughly 1km resolution -- is easily available. This is a massive dataset of many tens to hundreds of terabytes, available spinning online for the first time in a platform that allows easy computation using Google servers. For the geothermal community, simple Temperature statistics such as the Mean Annual Surface Temperature (e.g. Horowitz and Regenauer-Lieb, 2009) or daily T range statistics can then be calculated for any region covered by data. Having such statistics easily available should be of aid in making siting decisions for geothermal electrical generation or direct use applications. Examples of such calculations will be shown (hopefully live) at the meeting.

Copyright 2015, International Geothermal Association. Readers who download papers from this site should honour the copyright of the original authors, and may not copy or distribute the work further without the permission of the original publisher.

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