| Title | Propagation of errors associated with scaling foliage biomass from field measurements to remote sensing data over a northern Canadian national park |
| |
| Author | Chen, W ; Zorn, P;
Chen, Z; Latifovic, R; Zhang, Y; Li, J; Quirouette, J; Olthof,
I; Fraser, R; Mclennan, D; Poitevin, J; Stewart, H M; Sharma,
R |
| Source | Remote Sensing of Environment vol. 130, 2013 p. 205-218, https://doi.org/10.1016/j.rse.2012.11.012 |
| Year | 2013 |
| Alt Series | Natural Resources Canada, Contribution Series 20181355 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | GEM:
Geo-mapping for Energy and Minerals |
| Program | Climate Change
Geoscience |
| Released | 2013 03 01 |
| Abstract | If a change detection result based on time series of remote sensing data indicates that there was a 10% increase in an ecosystem property between two years over a specific land area, does it mean there
was a real change in the ecosystem property, or could it be merely an estimation error? This question must be addressed before ecosystem managers or policy makers can use the result with confidence for addressing related environmental or natural
resource management issues. One means of answering this question is through systematic error propagation analysis. In this study, we analyzed error propagation for detecting inter-annual changes in foliage biomass over Wapusk National Park, Canada.
Specifically, we first estimated uncertainties in all input data, including sampling errors in foliage and random errors in AVHRR and Landsat data. Secondly, we evaluated the error propagation from inputs to the remote sensing-derived foliage biomass
estimates (including the Landsat-based foliage biomass, AVHRR-derived foliage biomass, and the inter-annual changes in foliage biomass), and determined the threshold of detectable change in foliage biomass. Finally, we investigated approaches that
can reduce the threshold. Our results indicated that over Wapusk National Park during 1985-2006, the threshold for a clear-sky AVHRR pixel between two single years was ~. 40% with a confidence level of 84%, and can be reduced to 10% for a land cover
class with more than 10 clear-sky AVHRR pixels between two 5-year "State of Park" reporting periods. |
| GEOSCAN ID | 311709 |
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