Literature DB >> 28888243

Challenges to quantitative applications of Landsat observations for the urban thermal environment.

Feng Chen1, Song Yang2, Kai Yin3, Paul Chan4.   

Abstract

Since the launch of its first satellite in 1972, the Landsat program has operated continuously for more than forty years. A large data archive collected by the Landsat program significantly benefits both the academic community and society. Thermal imagery from Landsat sensors, provided with relatively high spatial resolution, is suitable for monitoring urban thermal environment. Growing use of Landsat data in monitoring urban thermal environment is demonstrated by increasing publications on this subject, especially over the last decade. Urban thermal environment is usually delineated by land surface temperature (LST). However, the quantitative and accurate estimation of LST from Landsat data is still a challenge, especially for urban areas. This paper will discuss the main challenges for urban LST retrieval, including urban surface emissivity, atmospheric correction, radiometric calibration, and validation. In addition, we will discuss general challenges confronting the continuity of quantitative applications of Landsat observations. These challenges arise mainly from the scan line corrector failure of the Landsat 7 ETM+ and channel differences among sensors. Based on these investigations, the concerns are to: (1) show general users the limitation and possible uncertainty of the retrieved urban LST from the single thermal channel of Landsat sensors; (2) emphasize efforts which should be done for the quantitative applications of Landsat data; and (3) understand the potential challenges for the continuity of Landsat observation (i.e., thermal infrared) for global change monitoring, while several climate data record programs being in progress.
Copyright © 2017. Published by Elsevier B.V.

Keywords:  Data consistency; Radiometric calibration; Remote sensing; SLC-off; Surface temperature

Mesh:

Year:  2017        PMID: 28888243     DOI: 10.1016/j.jes.2017.02.009

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  1 in total

1.  Spatial patterns of greenspace cool islands and their relationship to cooling effectiveness in the tropical city of Chiang Mai, Thailand.

Authors:  Manat Srivanit; Pawinee Iamtrakul
Journal:  Environ Monit Assess       Date:  2019-08-21       Impact factor: 2.513

  1 in total

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