Next Article in Journal
An Integrated Field and Remote Sensing Method for Mapping Seagrass Species, Cover, and Biomass in Southern Thailand
Previous Article in Journal
Exploring Long Term Spatial Vegetation Trends in Taiwan from AVHRR NDVI3g Dataset Using RDA and HCA Analyses
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(4), 286; doi:10.3390/rs8040286

Remote Sensing of the North American Laurentian Great Lakes’ Surface Temperature

1
Geo-Informatics and Space Technology Development Agency (GISTDA) 120 The Government Complex Building B, Chaeng Wattana Road, Lak Si Bangkok 10210, Thailand
2
Department of Geography, University of Colorado, 260 UCB Boulder, Denver, CO 80309, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Magaly Koch and Prasad S. Thenkabail
Received: 22 January 2016 / Revised: 14 March 2016 / Accepted: 22 March 2016 / Published: 29 March 2016
View Full-Text   |   Download PDF [3326 KB, uploaded 29 March 2016]   |  

Abstract

The Great Lakes Surface Temperature (GLST) is the key to understanding the effects of climate change on the Great Lakes (GL). This study provides the first techniques to retrieve pixel-based GLST under all sky conditions by merging skin temperature derived from the MODIS Land Surface Temperature (MOD11L2) and the MODIS Cloud product (MOD06L2) from 6 July 2001 to 31 December 2014, resulting in 18,807 scenes in total 9373 (9434) scenes for MOD11L2 (MOD06L2). The pixel-based GLST under all sky conditions was well-correlated with the in situ observations (R2 = 0.9102) with a cool bias of −1.10 °C and a root mean square error (RMSE) of 1.39 °C. The study also presents the long-term trends of GLST. Contrary to expectations, it decreased slightly due to the impact of an anomalously cold winter in 2013–2014. View Full-Text
Keywords: The North American Laurentian Great Lakes; water surface temperature; satellite remote sensing; MODIS The North American Laurentian Great Lakes; water surface temperature; satellite remote sensing; MODIS
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Moukomla, S.; Blanken, P.D. Remote Sensing of the North American Laurentian Great Lakes’ Surface Temperature. Remote Sens. 2016, 8, 286.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top