Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites

Abstract

This studypresents a remote sensing application of using time series Landsat satellite images for monitoring the Trail Road and Nepean municipal solid waste (MSW) disposal sites in Ottawa, Ontario, Canada. Currently, the Trail Road landfill is in operation; however, during the 1960s and 1980s, the city relied heavily on the Nepean landfill. More than 400 Landsat satellite images were acquired from the US Geological Survey (USGS) data archive between 1984 and 2011. Atmospheric correction was conducted on the Landsat images in order to derive the landfill sites' land surface temperature (LST). The findings unveil that the average LST of the landfill was always higher than the immediate surrounding vegetation and air temperature by 4 to 10 °C and 5 to 11.5 °C, respectively. During the summer, higher differences of LST between the landfill and its immediate surrounding vegetation were apparent, while minima were mostly found in fall. Furthermore, there was no significant temperature difference between the Nepean landfill (closed) and the Trail Road landfill (active) from 1984 to 2007. Nevertheless, the LST of the Trail Road landfill was much higher than the Nepean by 15 to 20 °C after 2007. This is mainly due to the construction and dumping activities (which were found to be active within the past few years) associated with the expansion of the Trail Road landfill. The study demonstrates that the use of the Landsat data archive can provide additional and viable information for the aid of MSW disposal site monitoring.

Modeling the Relationship between the Gross Domestic Product and Built-Up Area Using Remote Sensing and GIS Data: A Case Study of Seven Major Cities in Canada

“…In this research work, the authors aim to utilize remote sensing and GIS techniques to assess the relationship between the built-up area and the reported real GDP in seven major cities in Canada. Instead of using the night-time light images, we employed the multi-temporal Landsat TM satellite images, which are free to the public and have a short revisit time [16]. As the real GDP of Canada is mainly made up of mining and manufacturing services, thus we place an emphasis on the built-up land with industrial use and compare the remote sensing-derived built-up index with respect to the corresponding real GDP of these seven major cities from 2005 to 2010.…”

Avaliação do sensoriamento remoto termal para monitoramento de aterros sanitários

“…Yan et al (2014) Através dos dados obtidos verificou-se que a estimativa da temperatura da superfície oriunda do sensoriamento remoto é de extrema importância para estudos em aterros e lixões, conforme discutido por outros autores (Yang et al, 2008;Silvestri & Omri, 2008;Choudhury & Das, 2012;Ohri et al, 2015). Contudo, considera-se relevante a complementação com dados de campo visto que a temperatura do solo e abaixo deste pode apresentar variações, de acordo com os estudos de Yesiller & Hanson (2003), Hanson, Yesiller & Swarbrick (2005), Mariano e Moura (2009) e Rowe (1998).…”

Paradigms on landfill mining: From dump site scavenging to ecosystem services revitalization

“…Platforms such as unmanned aerial vehicles (UAVs) or drones, airborne or space borne flying objects like airplanes or satellites can be used with limited spatial resolution properties. Yan et al (2014) showed that LANDSAT images are informative on the lateral delineation of landfills by observing the land surface temperature. Dumps usually have an increased temperature comparatively to the surrounding areas.…”