Next Article in Journal
ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images
Next Article in Special Issue
Urban Design Factors Influencing Surface Urban Heat Island in the High-Density City of Guangzhou Based on the Local Climate Zone
Previous Article in Journal
A Driver’s Physiology Sensor-Based Driving Risk Prediction Method for Lane-Changing Process Using Hidden Markov Model
Article Menu
Issue 12 (June-2) cover image

Export Article

Open AccessArticle

Spatially Consistent High-Resolution Land Surface Temperature Mosaics for Thermophysical Mapping of the Mojave Desert

1
Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, NM 87131, USA
2
Quantum Spatial Inc., Albuquerque, NM 87106, USA
3
U.S. Geological Survey, Western Ecological Research Center, United States Geologic Survey, Las Vegas Field Station, Henderson, NV 89074-8829, USA
4
Department of Geography, University of Nevada Reno, Reno, NV 89557, USA
5
Department of Physics and Astronomy, Northern Arizona University, Box 6010, Flagstaff, AZ 86011, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2669; https://doi.org/10.3390/s19122669
Received: 23 April 2019 / Revised: 5 June 2019 / Accepted: 11 June 2019 / Published: 13 June 2019
(This article belongs to the Special Issue Remotely Sensed Land Surface Temperature)
  |  
PDF [11090 KB, uploaded 13 June 2019]
  |  

Abstract

Daytime and nighttime thermal infrared observations acquired by the ASTER and MODIS instruments onboard the NASA Terra spacecraft have produced a dataset that can be used to map thermophysical properties across large regions, which have implications on surface processes, thermal environments and habitat suitability for desert species. ASTER scenes acquired between 2004 and 2012 are combined using new mosaicking and data-fusion techniques to produce a map of daytime and nighttime land surface temperature with coverage exclusive of the effects of clouds and weather. These data are combined with Landsat 7 visible imagery to generate a consistent map of apparent thermal inertia (ATI), which is related to the presence of exposed bedrock, rocks, fine-grained sediments and water on the surface. The resulting datasets are compared to known geomorphic units and surface types to generate an interpreted mechanical composition map of the entire Mojave Desert at 100 m per pixel that is most sensitive to large clast size distinctions in grain size distribution. View Full-Text
Keywords: apparent thermal inertia; Mojave Desert; land surface temperature; LST; ecological modeling apparent thermal inertia; Mojave Desert; land surface temperature; LST; ecological modeling
Figures

Figure 1

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

Share & Cite This Article

MDPI and ACS Style

Nowicki, S.A.; Inman, R.D.; Esque, T.C.; Nussear, K.E.; Edwards, C.S. Spatially Consistent High-Resolution Land Surface Temperature Mosaics for Thermophysical Mapping of the Mojave Desert. Sensors 2019, 19, 2669.

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]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top