Dataset Details
Dataset Name: Landsat Satellite Data
Abbreviation: Landsat Satellite Data
Cost: Free
Provider: NASA
Covered Area(s): Global
Available Year(s)/ Update Frequency: 1999, 2004, 2010, 2014
Resolution Used: 30m
URL: https://www.usgs.gov/landsat-missions/landsat-8
Related Article(s)
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Authors: Shen et al., (2013a)
Citation: Shen, L., Kyllo, J. M., & Guo, X. (2013). An integrated model based on a hierarchical indices system for monitoring and evaluating urban sustainability. Sustainability, 5(2), 524-559.
Health Conditions/Application Areas: Urban Sustainability -
Authors: Shen et al., (2014a)
Citation: Shen, L., Li, Z., & Guo, X. (2014). Remote sensing of leaf area index (LAI) and a spatiotemporally parameterized model for mixed grasslands. International Journal of Applied Science and Technology, 4(1), 46-61.
Health Conditions/Application Areas: Mixed Grasslands -
Authors: Shen et al., (2014b)
Citation: Shen, L., & Guo, X. (2014). Spatial quantification and pattern analysis of urban sustainability based on a subjectively weighted indicator model: a case study in the city of Saskatoon, SK, Canada. Applied Geography, 53, 117-127.
Health Conditions/Application Areas: Urban Sustainability -
Authors: Shen et al., (2014c)
Citation: Shen, Li & Guo, Xulin & Xiao, Kang. (2014). Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: A case study in the city of Saskatoon (SK, Canada). Open Geosciences. 7. 10.1515/geo-2015-0005.
Health Conditions/Application Areas: Urban Temperatures -
Authors: Du et al., (2017)
Citation: Du, H., Cai, W., Xu, Y., Wang, Z., Wang, Y., & Cai, Y. (2017). Quantifying the cool island effects of urban green spaces using remote sensing Data. Urban Forestry & Urban Greening, 27, 24-31.
Health Conditions/Application Areas: Urban Green Spaces -
Authors: Wang et al., (2018b)
Citation: Wang, L., Zhu, J., Xu, Y., & Wang, Z. (2018). Urban built-up area boundary extraction and spatial-temporal characteristics based on land surface temperature retrieval. Remote Sensing, 10(3), 473.
Health Conditions/Application Areas: Urban Expansion -
Authors: Du et al., (2019)
Citation: Du, H., Cai, Y., Zhou, F., Jiang, H., Jiang, W., & Xu, Y. (2019). Urban blue-green space planning based on thermal environment simulation: A case study of Shanghai, China. Ecological Indicators, 106, 105501.
Health Conditions/Application Areas: Urban Expansion -
Authors: Bian et al., (2020)
Citation: Bian, J., Li, A., Lei, G., Zhang, Z., & Nan, X. (2020). Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 162, 63-76.
Health Conditions/Application Areas: Mountain Green Cover Index -
Authors: Fuentes et al., (2020)
Citation: Fuentes, M., Millard, K., & Laurin, E. (2020). Big geospatial data analysis for Canada’s Air Pollutant Emissions Inventory (APEI): using google earth engine to estimate particulate matter from exposed mine disturbance areas. GIScience & Remote Sensing, 57(2), 245-257.
Health Conditions/Application Areas: Air Pollution -
Authors: Samuelsson et al., (2020)
Citation: Samuelsson, K., Chen, T. H. K., Antonsen, S., Brandt, S. A., Sabel, C., & Barthel, S. (2020). Residential environments across Denmark have become both denser and greener over 20 years. Environmental Research Letters, 16(1), 014022.
Health Conditions/Application Areas: Residential Environments Greenness (Denmark) -
Authors: Shen et al., (2022b)
Citation: Shen, L., Sun, M., Wei, X., Bai, Y., Hu, Q., Song, S., ... & Liu, K. (2022). Spatiotemporal association of rapid urbanization and water-body distribution on Haemorrhagic fever with renal syndrome: A case study in the city of Xi’an, China. PLOS Neglected Tropical Diseases, 16(1), e0010094.
Health Conditions/Application Areas: Rural Water