Browsing by Author "Rahaman, Khan Rubayet"

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    Remote Sensing of Local Warming and Its Application Over Alberta
    (2018-07-25) Rahaman, Khan Rubayet; Hassan, Quazi K.; He, Jianxun; Rangelova, Elena V.; Sumon, Kazi Z.; Levy, Jason
    The effects of a changing climate (i.e., temperature in particular) vary and will continue to vary significantly from global to local level. Changes of temperature at global and regional scale are somehow defined by using several models and simulations. However, temperature change at local scales (i.e., community or local government level) are not well defined and needs particular attention to address future adaptation policies in the face of climate change. For instance, this thesis is built on a hypothesis that temperature does vary locally in comparison to the predicted models at the regional and global scales. To address this critical issue, this study sets up the goal to delineate local warming maps using satellite-borne remote sensing data at 15 m spatial resolution. In doing so, firstly, 1 km spatial resolution warming map is prepared in the whole province of Alberta for 1961-2010 time period using MODIS-derived 8-days composite images at 1 km spatial resolution. Secondly, to enhance the spatial resolution of derived 1 km warming map, data fusion technique is used from Landsat-8 OLI-derived data to generate high spatial resolution EVI, NDVI, and NDWI. Finally, long-term warming trend map is produced at 15m spatial resolution to represent the changes of temperature normals (i.e., 1961-2010 time period) as a final outcome. Results have demonstrated that the proposed methods of delineating high spatial resolution local warming map has strong accuracy while comparing with the climate station-derived temperature data (r2 = 0.80 in case of 1961-1990; and r2 = 0.78 in case of 1981-2010). Similarly, while comparing the results of warming trend maps derived at 1 km and 15 m spatial resolution, outcomes have proved strong relationship too (r2 = 0.96 in case of 1961-1990; r2 = 0.95 in case of 1981-2010). Finally, this study explicitly brings the notion that of local level warming map can be produced at high spatial resolution and can be critical for local governments to initiate future policies depending on evidence in future climate change adaptation planning.
  • Thumbnail Image
    ItemOpen Access
    Remote Sensing of Local Warming and Its Application Over Alberta
    (2018-07-25) Rahaman, Khan Rubayet; Hassan, Quazi K.; He, Jianxun; Levy, Jason; Rangelova, Elena V.; Sumon, Kazi Z.
    The effects of a changing climate (i.e., temperature in particular) vary and will continue to vary significantly from global to local level. Changes of temperature at global and regional scale are somehow defined by using several models and simulations. However, temperature change at local scales (i.e., community or local government level) are not well defined and needs particular attention to address future adaptation policies in the face of climate change. For instance, this thesis is built on a hypothesis that temperature does vary locally in comparison to the predicted models at the regional and global scales. To address this critical issue, this study sets up the goal to delineate local warming maps using satellite-borne remote sensing data at 15 m spatial resolution. In doing so, firstly, 1 km spatial resolution warming map is prepared in the whole province of Alberta for 1961-2010 time period using MODIS-derived 8-days composite images at 1 km spatial resolution. Secondly, to enhance the spatial resolution of derived 1 km warming map, data fusion technique is used from Landsat-8 OLI-derived data to generate high spatial resolution EVI, NDVI, and NDWI. Finally, long-term warming trend map is produced at 15m spatial resolution to represent the changes of temperature normals (i.e., 1961-2010 time period) as a final outcome. Results have demonstrated that the proposed methods of delineating high spatial resolution local warming map has strong accuracy while comparing with the climate station-derived temperature data (r2 = 0.80 in case of 1961-1990; and r2 = 0.78 in case of 1981-2010). Similarly, while comparing the results of warming trend maps derived at 1 km and 15 m spatial resolution, outcomes have proved strong relationship too (r2 = 0.96 in case of 1961-1990; r2 = 0.95 in case of 1981-2010). Finally, this study explicitly brings the notion that of local level warming map can be produced at high spatial resolution and can be critical for local governments to initiate future policies depending on evidence in future climate change adaptation planning.
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    ItemOpen Access
    Remote Sensing of Wildland Fire-induced Risk Assessment Framework
    (National Fire Information Database (NFID) Project, 2017-12) Hassan, Quazi K.; Ahmed, M. Razu; Rahaman, Khan Rubayet
    Wildland fire is one of the critical natural hazards that pose a significant threat to the communities located in the vicinity of forested/vegetated areas. In this report, our overall goal was to use very high spatial resolution (0.5-2.4m) satellite images to develop wildland fire-induced risk framework. We considered two extreme fire events, such as the 2016 HRF over Fort McMurray, and 2011 Lesser Slave Lake fire in Alberta. Thus, our activities included the: (i) estimation of the structural damages; and (ii) delineation of the wildland-urban interface (WUI) and its associated buffers at certain intervals, and their utilization in assessing potential risks. Our proposed method of remote sensing-based estimates was compared with the ground-based information available from the Planning and Development Recovery Committee Task Force of Regional Municipality of Wood Buffalo (RMWB) and National Fire Information Database (NFID); and found strong linear relationships (i.e., r2-value of 0.97 with a slope of 0.97 for the 2016 HRF over Fort McMurray; and 378 from satellite image vs. 407 from 378 from satellite image vs. 407 from NFID system for the 2011 Lesser Slave Lake fire). Upon delineating the WUI and its associated buffer zones at 10m, 30m, 50m, 70m and 100m distances; we found existence of vegetation within the 30m buffers from the WUI for all of the damaged structures. In addition, we noticed that the relevant authorities had removed vegetation in some areas between 30m and 70m buffers from the WUI in case of Fort McMurray area, which was proven to be effective in order to protect the structures in the adjacent communities. Furthermore, we mapped the wildland fire-induced vulnerable areas upon considering the WUI and its associated buffers. We found that there were still some communities that had the existence of vegetation within the buffer zones; thus such vegetation should be removed and monitored regularly in order to reduce the wildland fire-induced risks.