Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites
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.
KeywordsMunicipal solid waste Landfill Landfill gas Land surface temperature Multi-temporal Landsat Remote sensing
This paper is an extended version of the paper “Trail Road Landfill Site Monitoring Using Multi-Temporal Landsat Satellite Data” presented at the Geomatics Conference 2010 and ISPRS COM I Symposium, Calgary, Canada. The research was supported by a discovery grant from the Natural Sciences and Engineering Research Council of Canada (NSERC). We acknowledge Mr. Peter Filipowich from the city of Ottawa Government, who provided the Nepean and Trail Road landfill monitoring reports. We also thank the anonymous reviewers for their comments.
- Agency for Toxic Substances and Disease Registry (2001). Landfill gas primer—an overview for environmental health professionals. www.atsdr.cdc.gov/HAC/landfill/html/intro.html.
- Brivio, P.A., Doria, I., Zilioli, E. (1993). Aspects of spatial autocorrelation of Landsat TM data for the inventory of waste-disposal sites in rural environments. Photogrammetric Engineering & Remote Sensing, 59(9), 1377–1382.Google Scholar
- Cobo, N., López, A., Lobo, A., Zamorano, M., Brebbia, C.A., Kungolos, A.G., Popov, V., Itoh, H., et al. (2008). Biodegradation stability of organic solid waste characterized by physico-chemical parameters. In Waste management and the environment IV. International conference on waste management and the environment (pp. 153–162). Granada: WIT Press.Google Scholar
- Dillon Consulting Limited (2005). Trail road landfill site 2004 monitoring and operating report. Tech. rep., City of Ottawa, Canada.Google Scholar
- Dillon Consulting Limited (2008). Trail road landfill site 2007 monitoring and operating report. Tech. rep., City of Ottawa, Canada.Google Scholar
- Erb, T.L, Philipson, W.R, Teng, W.L, Liang, T. (1981). Analysis of landfills with historic airphotos. Photogrammetric Engineering & Remote Sensing, 47(9), 1363– 1369.Google Scholar
- Hadjimitsis, D.G., Papadavid, C., Agapiou, A., Themistocleous, K., Hadjimitsis, M.G., Retalis, A., Michaelides, S., Chrysoulakis, N., Toulios, L., Clayton, C.R.I. (2010). Atmospheric correction for satellite remotely sensed data intended for agricultural applications: impact on vegetation indices. Natural Hazards & Earth System Sciences, 10(1), 89–95.CrossRefGoogle Scholar
- Lyon, J.G. (1987). Use of maps, aerial photographs, and other remote sensor data for practical evaluations of hazardous waste sites. Photogrammetric Engineering & Remote Sensing, 53(5), 515–519.Google Scholar
- Ottavianelli, G. (2007). Synthetic aperture radar remote sensing for landfill monitoring, Ph.D. Thesis, Cranfield University, United Kingdom.Google Scholar
- Ou, S.C., Chen, Y., Liou, K.N., Cosh, M., Brutsaert, W. (2002). Satellite remote sensing of land surface temperatures: application of the atmospheric correction method and split-window technique to data of ARM-SGP site. International Journal of Remote Sensing, 23(24), 5177– 5192.CrossRefGoogle Scholar
- Philipson, W.R., Barnaba, E.M., Ingram, A., Williams, V.L. (1988). Land-cover monitoring with SPOT for landfill investigations. Photogrammetric Engineering & Remote Sensing, 54(2), 223–228.Google Scholar
- Pope, P., Eeckhout, E.V., Rofer, C. (1996). Waste site characterization through digital analysis of historical aerial photographs. Photogrammetric Engineering & Remote Sensing, 54(2), 223–228.Google Scholar
- Shaker, A., Faisal, K., El-Ashmawy, N., Yan, W.Y. (2010). Effectiveness of using remote sensing techniques in monitoring landfill sites using multi-temporal Landsat satellite data. Al-Azhar University Engineering Journal, 5(1), 542–551.Google Scholar
- Stohr, C., Darmody, R.G., Frank, T.D., Elhance, A.P., Lunetta, R., Worthy, D., O’Connor-Shoresman, K. (1994). Classification of depressions in landfill covers using uncalibrated thermal-infrared imagery. Photogrammetric Engineering & Remote Sensing, 60(8), 1019–1028.Google Scholar
- Stohr, C., Su, W.J., DuMontelle, P.B., Griffin, R.A. (1987). Remote sensing investigations at a hazardous-waste landfill. Photogrammetric Engineering & Remote Sensing, 53(11), 1555–1563.Google Scholar
- Well, G.J., Graf, R.J., Forister, L.M. (1994). Investigations of hazardous waste sites using thermal IR and ground penetrating radar. Photogrammetric Engineering & Remote Sensing, 60(8), 999–1005.Google Scholar
- Yang, K., Zhou, X.-N., Yan, W.-A., Hang, D.-R., Steinmann, P. (2008). Landfills in Jiangsu Province, China, and potential threats for public health: Leachate appraisal and spatial analysis using geographic information system and remote sensing. Waste Management, 28(12), 2750–2757.CrossRefGoogle Scholar