| Title | Cumulative impact assessment: monitoring land surface condition at regional scale using satellite remote sensing |
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| Author | Latifovic, R; Pouliot, D |
| Source | MultiTemp 2013, final program; by MultiTemp 2013; 2013 p. 115  Open Access |
| Links | Online - En ligne (PDF, 3.4
MB)
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| Image |  |
| Year | 2013 |
| Alt Series | Earth Sciences Sector, Contribution Series 20130350 |
| Meeting | Mulittemp 2013 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images; Banff; CA; June 25-27, 2013 |
| Document | book |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Subjects | geophysics; Nature and Environment; analytical methods; satellites; remote sensing; Plants |
| Program | Remote Sensing Science |
| Released | 2013 01 01 |
| Abstract | An integral part of environmental protection is the systematic monitoring of landscape dynamics. Landscape pattern at any given time is the stage at which dynamic processes have occurred. In order to
improve our understanding of complex interactions between the biosphere and atmosphere and to make reliable predictions, quantitative landscape studies that consider time, or temporal changes are required. The difficulties in addressing the effects
of mining development on landscape dynamics are accentuated by the fact that vegetative cover responds similarly to different stressors. Stress has many causes and collateral effects such as insects and disease that further damage plants that are
otherwise weakened. Sorting out causes and effects is a challenging task and is critical for assessing and mitigating the impact mining might have on the surrounding environment.
A successful monitoring approach for evaluating surface processes
and their dynamics at the regional scale requires observations with frequent temporal coverage over a long period of time in order to differentiate natural changes from those associated with human activities. However, long-term field observations in
remote areas that have recently become suitable for mining development are typically not available. Systematic long-term measurements of vegetation properties in such remote areas usually cannot be economically justified prior to mining development.
In most cases, remote sensing is the only alternative to field collected observations when an historical record is needed for studying long-term vegetation cycles. Long Term Satellite Data Records (LTSDR) are an essential component for any EO based
land surface monitoring framework required to address regional scale reporting needs. The systematic implementation of such a framework offers a long- term capacity to generate, archive and access to satellite data and thematic products that support
a broad range of research objectives. This talk will describe ongoing work and provide an outline of the framework and available long term satellite data record generated by Canadian Center for Remote Sensing
appropriate for investigating
cumulative impact at regional scale. Detailed information on data processing techniques used in generating these data, analysis of data quality and limitations will be discusses. Different information extraction techniques and examples that employ
long-term satellite data records with 250m and 30m spatial resolution over Athabasca Oil Sands Region will be illustrated. |
| GEOSCAN ID | 293387 |
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